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Journal of Quantitative Analysis in Sports

An official journal of the american statistical association.

Online ISSN: 1559-0410
Print ISSN: 2194-6388
Type: Journal
Language: English
Publisher: De Gruyter
First published: January 1, 2005
Publication Frequency: 4 Issues per Year

Quantitative Analysis of Sports

First Online: 01 January 2011

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quantitative research title about sports and its contribution

Derek D. Reed 3

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In 2003, Michael C. Lewis published the book Moneyball: The Art of Winning an Unfair Game , detailing Billy Beane’s (the general manager of the Oakland Athletics Major League Baseball [MLB] team) contemporary use of advanced statistical methods to draft or select players and to devise strategic approaches to game play in hope of launching the team into the competitive echelon of the MLB, despite the numerous odds against them. To the novice reader or sports enthusiast, this simple description seems an endearing tale of an underdog’s success, and rightly so – the Oakland Athletic’s, with a salary budget of only $41 million, competed against teams with much higher salaries, such as the New York Yankees with $200 million to spend on its players. Transcending beyond this “triumph over adversity” tale, however, Lewis’s Moneyball has become a panacea for analytically maximizing outcomes from an economic approach.

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Reed, D.D. (2011). Quantitative Analysis of Sports. In: Luiselli, J., Reed, D. (eds) Behavioral Sport Psychology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0070-7_3

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Sport psychology and performance meta-analyses: A systematic review of the literature

Marc Lochbaum

1 Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, Texas, United States of America

2 Education Academy, Vytautas Magnus University, Kaunas, Lithuania

Elisabeth Stoner

3 Department of Psychological Sciences, Texas Tech University, Lubbock, Texas, United States of America

Tristen Hefner

Sydney cooper.

4 Department of Kinesiology and Sport Management, Honors College, Texas Tech University, Lubbock, Texas, United States of America

Andrew M. Lane

5 Faculty of Education, Health and Well-Being, University of Wolverhampton, Walsall, West Midlands, United Kingdom

Peter C. Terry

6 Division of Research & Innovation, University of Southern Queensland, Toowoomba, Queensland, Australia

Associated Data

All relevant data are within the paper.

Sport psychology as an academic pursuit is nearly two centuries old. An enduring goal since inception has been to understand how psychological techniques can improve athletic performance. Although much evidence exists in the form of meta-analytic reviews related to sport psychology and performance, a systematic review of these meta-analyses is absent from the literature. We aimed to synthesize the extant literature to gain insights into the overall impact of sport psychology on athletic performance. Guided by the PRISMA statement for systematic reviews, we reviewed relevant articles identified via the EBSCOhost interface. Thirty meta-analyses published between 1983 and 2021 met the inclusion criteria, covering 16 distinct sport psychology constructs. Overall, sport psychology interventions/variables hypothesized to enhance performance (e.g., cohesion, confidence, mindfulness) were shown to have a moderate beneficial effect ( d = 0.51), whereas variables hypothesized to be detrimental to performance (e.g., cognitive anxiety, depression, ego climate) had a small negative effect ( d = -0.21). The quality rating of meta-analyses did not significantly moderate the magnitude of observed effects, nor did the research design (i.e., intervention vs. correlation) of the primary studies included in the meta-analyses. Our review strengthens the evidence base for sport psychology techniques and may be of great practical value to practitioners. We provide recommendations for future research in the area.

Introduction

Sport performance matters. Verifying its global importance requires no more than opening a newspaper to the sports section, browsing the internet, looking at social media outlets, or scanning abundant sources of sport information. Sport psychology is an important avenue through which to better understand and improve sport performance. To date, a systematic review of published sport psychology and performance meta-analyses is absent from the literature. Given the undeniable importance of sport, the history of sport psychology in academics since 1830, and the global rise of sport psychology journals and organizations, a comprehensive systematic review of the meta-analytic literature seems overdue. Thus, we aimed to consolidate the existing literature and provide recommendations for future research.

The development of sport psychology

The history of sport psychology dates back nearly 200 years. Terry [ 1 ] cites Carl Friedrich Koch’s (1830) publication titled [in translation] Calisthenics from the Viewpoint of Dietetics and Psychology [ 2 ] as perhaps the earliest publication in the field, and multiple commentators have noted that sport psychology experiments occurred in the world’s first psychology laboratory, established by Wilhelm Wundt at the University of Leipzig in 1879 [ 1 , 3 ]. Konrad Rieger’s research on hypnosis and muscular endurance, published in 1884 [ 4 ] and Angelo Mosso’s investigations of the effects of mental fatigue on physical performance, published in 1891 [ 5 ] were other early landmarks in the development of applied sport psychology research. Following the efforts of Koch, Wundt, Rieger, and Mosso, sport psychology works appeared with increasing regularity, including Philippe Tissié’s publications in 1894 [ 6 , 7 ] on psychology and physical training, and Pierre de Coubertin’s first use of the term sport psychology in his La Psychologie du Sport paper in 1900 [ 8 ]. In short, the history of sport psychology and performance research began as early as 1830 and picked up pace in the latter part of the 19 th century. Early pioneers, who helped shape sport psychology include Wundt, recognized as the “father of experimental psychology”, Tissié, the founder of French physical education and Legion of Honor awardee in 1932, and de Coubertin who became the father of the modern Olympic movement and founder of the International Olympic Committee.

Sport psychology flourished in the early 20 th century [see 1, 3 for extensive historic details]. For instance, independent laboratories emerged in Berlin, Germany, established by Carl Diem in 1920; in St. Petersburg and Moscow, Russia, established respectively by Avksenty Puni and Piotr Roudik in 1925; and in Champaign, Illinois USA, established by Coleman Griffith, also in 1925. The period from 1950–1980 saw rapid strides in sport psychology, with Franklin Henry establishing this field of study as independent of physical education in the landscape of American and eventually global sport science and kinesiology graduate programs [ 1 ]. In addition, of great importance in the 1960s, three international sport psychology organizations were established: namely, the International Society for Sport Psychology (1965), the North American Society for the Psychology of Sport and Physical Activity (1966), and the European Federation of Sport Psychology (1969). Since that time, the Association of Applied Sport Psychology (1986), the South American Society for Sport Psychology (1986), and the Asian-South Pacific Association of Sport Psychology (1989) have also been established.

The global growth in academic sport psychology has seen a large number of specialist publications launched, including the following journals: International Journal of Sport Psychology (1970), Journal of Sport & Exercise Psychology (1979), The Sport Psychologist (1987), Journal of Applied Sport Psychology (1989), Psychology of Sport and Exercise (2000), International Journal of Sport and Exercise Psychology (2003), Journal of Clinical Sport Psychology (2007), International Review of Sport and Exercise Psychology (2008), Journal of Sport Psychology in Action (2010), Sport , Exercise , and Performance Psychology (2014), and the Asian Journal of Sport & Exercise Psychology (2021).

In turn, the growth in journal outlets has seen sport psychology publications burgeon. Indicative of the scale of the contemporary literature on sport psychology, searches completed in May 2021 within the Web of Science Core Collection, identified 1,415 publications on goal setting and sport since 1985; 5,303 publications on confidence and sport since 1961; and 3,421 publications on anxiety and sport since 1980. In addition to academic journals, several comprehensive edited textbooks have been produced detailing sport psychology developments across the world, such as Hanrahan and Andersen’s (2010) Handbook of Applied Sport Psychology [ 9 ], Schinke, McGannon, and Smith’s (2016) International Handbook of Sport Psychology [ 10 ], and Bertollo, Filho, and Terry’s (2021) Advancements in Mental Skills Training [ 11 ] to name just a few. In short, sport psychology is global in both academic study and professional practice.

Meta-analysis in sport psychology

Several meta-analysis guides, computer programs, and sport psychology domain-specific primers have been popularized in the social sciences [ 12 , 13 ]. Sport psychology academics have conducted quantitative reviews on much studied constructs since the 1980s, with the first two appearing in 1983 in the form of Feltz and Landers’ meta-analysis on mental practice [ 14 ], which included 98 articles dating from 1934, and Bond and Titus’ cross-disciplinary meta-analysis on social facilitation [ 15 ], which summarized 241 studies including Triplett’s (1898) often-cited study of social facilitation in cycling [ 16 ]. Although much meta-analytic evidence exists for various constructs in sport and exercise psychology [ 12 ] including several related to performance [ 17 ], the evidence is inconsistent. For example, two meta-analyses, both ostensibly summarizing evidence of the benefits to performance of task cohesion [ 18 , 19 ], produced very different mean effects ( d = .24 vs d = 1.00) indicating that the true benefit lies somewhere in a wide range from small to large. Thus, the lack of a reliable evidence base for the use of sport psychology techniques represents a significant gap in the knowledge base for practitioners and researchers alike. A comprehensive systematic review of all published meta-analyses in the field of sport psychology has yet to be published.

Purpose and aim

We consider this review to be both necessary and long overdue for the following reasons: (a) the extensive history of sport psychology and performance research; (b) the prior publication of many meta-analyses summarizing various aspects of sport psychology research in a piecemeal fashion [ 12 , 17 ] but not its totality; and (c) the importance of better understanding and hopefully improving sport performance via the use of interventions based on solid evidence of their efficacy. Hence, we aimed to collate and evaluate this literature in a systematic way to gain improved understanding of the impact of sport psychology variables on sport performance by construct, research design, and meta-analysis quality, to enhance practical knowledge of sport psychology techniques and identify future lines of research inquiry. By systematically reviewing all identifiable meta-analytic reviews linking sport psychology techniques with sport performance, we aimed to evaluate the strength of the evidence base underpinning sport psychology interventions.

Materials and methods

This systematic review of meta-analyses followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [ 20 ]. We did not register our systematic review protocol in a database. However, we specified our search strategy, inclusion criteria, data extraction, and data analyses in advance of writing our manuscript. All details of our work are available from the lead author. Concerning ethics, this systematic review received a waiver from Texas Tech University Human Subject Review Board as it concerned archival data (i.e., published meta-analyses).

Eligibility criteria

Published meta-analyses were retained for extensive examination if they met the following inclusion criteria: (a) included meta-analytic data such as mean group, between or within-group differences or correlates; (b) published prior to January 31, 2021; (c) published in a peer-reviewed journal; (d) investigated a recognized sport psychology construct; and (e) meta-analyzed data concerned with sport performance. There was no language of publication restriction. To align with our systematic review objectives, we gave much consideration to study participants and performance outcomes. Across multiple checks, all authors confirmed study eligibility. Three authors (ML, AL, and PT) completed the final inclusion assessments.

Information sources

Authors searched electronic databases, personal meta-analysis history, and checked with personal research contacts. Electronic database searches occurred in EBSCOhost with the following individual databases selected: APA PsycINFO, ERIC, Psychology and Behavioral Sciences Collection, and SPORTDiscus. An initial search concluded October 1, 2020. ML, AL, and PT rechecked the identified studies during the February–March, 2021 period, which resulted in the identification of two additional meta-analyses [ 21 , 22 ].

Search protocol

ML and ES initially conducted independent database searches. For the first search, ML used the following search terms: sport psychology with meta-analysis or quantitative review and sport and performance or sport* performance. For the second search, ES utilized a sport psychology textbook and used the chapter title terms (e.g., goal setting). In EBSCOhost, both searches used the advanced search option that provided three separate boxes for search terms such as box 1 (sport psychology), box 2 (meta-analysis), and box 3 (performance). Specific details of our search strategy were:

Search by ML:

sport psychology, meta-analysis, sport and performance
sport psychology, meta-analysis or quantitative review, sport* performance
sport psychology, quantitative review, sport and performance
sport psychology, quantitative review, sport* performance

Search by ES:

mental practice or mental imagery or mental rehearsal and sports performance and meta-analysis
goal setting and sports performance and meta-analysis
anxiety and stress and sports performance and meta-analysis
competition and sports performance and meta-analysis
diversity and sports performance and meta-analysis
cohesion and sports performance and meta-analysis
imagery and sports performance and meta-analysis
self-confidence and sports performance and meta-analysis
concentration and sports performance and meta-analysis
athletic injuries and sports performance and meta-analysis
overtraining and sports performance and meta-analysis
children and sports performance and meta-analysis

The following specific search of the EBSCOhost with SPORTDiscus, APA PsycINFO, Psychology and Behavioral Sciences Collection, and ERIC databases, returned six results from 2002–2020, of which three were included [ 18 , 19 , 23 ] and three were excluded because they were not meta-analyses.

Box 1 cohesion
Box 2 sports performance
Box 3 meta-analysis

Study selection

As detailed in the PRISMA flow chart ( Fig 1 ) and the specified inclusion criteria, a thorough study selection process was used. As mentioned in the search protocol, two authors (ML and ES) engaged independently with two separate searches and then worked together to verify the selected studies. Next, AL and PT examined the selected study list for accuracy. ML, AL, and PT, whilst rating the quality of included meta-analyses, also re-examined all selected studies to verify that each met the predetermined study inclusion criteria. Throughout the study selection process, disagreements were resolved through discussion until consensus was reached.

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Data extraction process

Initially, ML, TH, and ES extracted data items 1, 2, 3 and 8 (see Data items). Subsequently, ML, AL, and PT extracted the remaining data (items 4–7, 9, 10). Checks occurred during the extraction process for potential discrepancies (e.g., checking the number of primary studies in a meta-analysis). It was unnecessary to contact any meta-analysis authors for missing information or clarification during the data extraction process because all studies reported the required information. Across the search for meta-analyses, all identified studies were reported in English. Thus, no translation software or searching out a native speaker occurred. All data extraction forms (e.g., data items and individual meta-analysis quality) are available from the first author.

To help address our main aim, we extracted the following information from each meta-analysis: (1) author(s); (2) publication year; (3) construct(s); (4) intervention based meta-analysis (yes, no, mix); (5) performance outcome(s) description; (6) number of studies for the performance outcomes; (7) participant description; (8) main findings; (9) bias correction method/results; and (10) author(s) stated conclusions. For all information sought, we coded missing information as not reported.

Individual meta-analysis quality

ML, AL, and PT independently rated the quality of individual meta-analysis on the following 25 points found in the PRISMA checklist [ 20 ]: title; abstract structured summary; introduction rationale, objectives, and protocol and registration; methods eligibility criteria, information sources, search, study selection, data collection process, data items, risk of bias of individual studies, summary measures, synthesis of results, and risk of bias across studies; results study selection, study characteristics, risk of bias within studies, results of individual studies, synthesis of results, and risk of bias across studies; discussion summary of evidence, limitations, and conclusions; and funding. All meta-analyses were rated for quality by two coders to facilitate inter-coder reliability checks, and the mean quality ratings were used in subsequent analyses. One author (PT), having completed his own ratings, received the incoming ratings from ML and AL and ran the inter-coder analysis. Two rounds of ratings occurred due to discrepancies for seven meta-analyses, mainly between ML and AL. As no objective quality categorizations (i.e., a point system for grouping meta-analyses as poor, medium, good) currently exist, each meta-analysis was allocated a quality score of up to a maximum of 25 points. All coding records are available upon request.

Planned methods of analysis

Several preplanned methods of analysis occurred. We first assessed the mean quality rating of each meta-analysis based on our 25-point PRISMA-based rating system. Next, we used a median split of quality ratings to determine whether standardized mean effects (SMDs) differed by the two formed categories, higher and lower quality meta-analyses. Meta-analysis authors reported either of two different effect size metrics (i.e., r and SMD); hence we converted all correlational effects to SMD (i.e., Cohen’s d ) values using an online effect size calculator ( www.polyu.edu.hk/mm/effectsizefaqs/calculator/calculator.html ). We interpreted the meaningfulness of effects based on Cohen’s interpretation [ 24 ] with 0.20 as small, 0.50 as medium, 0.80 as large, and 1.30 as very large. As some psychological variables associate negatively with performance (e.g., confusion [ 25 ], cognitive anxiety [ 26 ]) whereas others associate positively (e.g., cohesion [ 23 ], mental practice [ 14 ]), we grouped meta-analyses according to whether the hypothesized effect with performance was positive or negative, and summarized the overall effects separately. By doing so, we avoided a scenario whereby the demonstrated positive and negative effects canceled one another out when combined. The effect of somatic anxiety on performance, which is hypothesized to follow an inverted-U relationship, was categorized as neutral [ 35 ]. Last, we grouped the included meta-analyses according to whether the primary studies were correlational in nature or involved an intervention and summarized these two groups of meta-analyses separately.

Study characteristics

Table 1 contains extracted data from 30 meta-analyses meeting the inclusion criteria, dating from 1983 [ 14 ] to 2021 [ 21 ]. The number of primary studies within the meta-analyses ranged from three [ 27 ] to 109 [ 28 ]. In terms of the description of participants included in the meta-analyses, 13 included participants described simply as athletes, whereas other meta-analyses identified a mix of elite athletes (e.g., professional, Olympic), recreational athletes, college-aged volunteers (many from sport science departments), younger children to adolescents, and adult exercisers. Of the 30 included meta-analyses, the majority ( n = 18) were published since 2010. The decadal breakdown of meta-analyses was 1980–1989 ( n = 1 [ 14 ]), 1990–1999 ( n = 6 [ 29 – 34 ]), 2000–2009 ( n = 5 [ 23 , 25 , 26 , 35 , 36 ]), 2010–2019 ( n = 12 [ 18 , 19 , 22 , 27 , 37 – 43 , 48 ]), and 2020–2021 ( n = 6 [ 21 , 28 , 44 – 47 ]).

As for the constructs covered, we categorized the 30 meta-analyses into the following areas: mental practice/imagery [ 14 , 29 , 30 , 42 , 46 , 47 ], anxiety [ 26 , 31 , 32 , 35 ], confidence [ 26 , 35 , 36 ], cohesion [ 18 , 19 , 23 ], goal orientation [ 22 , 44 , 48 ], mood [ 21 , 25 , 34 ], emotional intelligence [ 40 ], goal setting [ 33 ], interventions [ 37 ], mindfulness [ 27 ], music [ 28 ], neurofeedback training [ 43 ], perfectionism [ 39 ], pressure training [ 45 ], quiet eye training [ 41 ], and self-talk [ 38 ]. Multiple effects were generated from meta-analyses that included more than one construct (e.g., tension, depression, etc. [ 21 ]; anxiety and confidence [ 26 ]). In relation to whether the meta-analyses included in our review assessed the effects of a sport psychology intervention on performance or relationships between psychological constructs and performance, 13 were intervention-based, 14 were correlational, two included a mix of study types, and one included a large majority of cross-sectional studies ( Table 1 ).

A wide variety of performance outcomes across many sports was evident, such as golf putting, dart throwing, maximal strength, and juggling; or categorical outcomes such as win/loss and Olympic team selection. Given the extensive list of performance outcomes and the incomplete descriptions provided in some meta-analyses, a clear categorization or count of performance types was not possible. Sufficient to conclude, researchers utilized many performance outcomes across a wide range of team and individual sports, motor skills, and strength and aerobic tasks.

Effect size data and bias correction

To best summarize the effects, we transformed all correlations to SMD values (i.e., Cohen’s d ). Across all included meta-analyses shown in Table 2 and depicted in Fig 2 , we identified 61 effects. Having corrected for bias, effect size values were assessed for meaningfulness [ 24 ], which resulted in 15 categorized as negligible (< ±0.20), 29 as small (±0.20 to < 0.50), 13 as moderate (±0.50 to < 0.80), 2 as large (±0.80 to < 1.30), and 1 as very large (≥ 1.30).

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Study quality rating results and summary analyses

Following our PRISMA quality ratings, intercoder reliability coefficients were initially .83 (ML, AL), .95 (ML, PT), and .90 (AL, PT), with a mean intercoder reliability coefficient of .89. To achieve improved reliability (i.e., r mean > .90), ML and AL re-examined their ratings. As a result, intercoder reliability increased to .98 (ML, AL), .96 (ML, PT), and .92 (AL, PT); a mean intercoder reliability coefficient of .95. Final quality ratings (i.e., the mean of two coders) ranged from 13 to 25 ( M = 19.03 ± 4.15). Our median split into higher ( M = 22.83 ± 1.08, range 21.5–25, n = 15) and lower ( M = 15.47 ± 2.42, range 13–20.5, n = 15) quality groups produced significant between-group differences in quality ( F 1,28 = 115.62, p < .001); hence, the median split met our intended purpose. The higher quality group of meta-analyses were published from 2015–2021 (median 2018) and the lower quality group from 1983–2014 (median 2000). It appears that meta-analysis standards have risen over the years since the PRISMA criteria were first introduced in 2009. All data for our analyses are shown in Table 2 .

Table 3 contains summary statistics with bias-corrected values used in the analyses. The overall mean effect for sport psychology constructs hypothesized to have a positive impact on performance was of moderate magnitude ( d = 0.51, 95% CI = 0.42, 0.58, n = 36). The overall mean effect for sport psychology constructs hypothesized to have a negative impact on performance was small in magnitude ( d = -0.21, 95% CI -0.31, -0.11, n = 24). In both instances, effects were larger, although not significantly so, among meta-analyses of higher quality compared to those of lower quality. Similarly, mean effects were larger but not significantly so, where reported effects in the original studies were based on interventional rather than correlational designs. This trend only applied to hypothesized positive effects because none of the original studies in the meta-analyses related to hypothesized negative effects used interventional designs.

Note. k = number of effects, N.S. = non-significant, n/a = not applicable.

In this systematic review of meta-analyses, we synthesized the available evidence regarding effects of sport psychology interventions/constructs on sport performance. We aimed to consolidate the literature, evaluate the potential for meta-analysis quality to influence the results, and suggest recommendations for future research at both the single study and quantitative review stages. During the systematic review process, several meta-analysis characteristics came to light, such as the number of meta-analyses of sport psychology interventions (experimental designs) compared to those summarizing the effects of psychological constructs (correlation designs) on performance, the number of meta-analyses with exclusively athletes as participants, and constructs featuring in multiple meta-analyses, some of which (e.g., cohesion) produced very different effect size values. Thus, although our overall aim was to evaluate the strength of the evidence base for use of psychological interventions in sport, we also discuss the impact of these meta-analysis characteristics on the reliability of the evidence.

When seen collectively, results of our review are supportive of using sport psychology techniques to help improve performance and confirm that variations in psychological constructs relate to variations in performance. For constructs hypothesized to have a positive effect on performance, the mean effect strength was moderate ( d = 0.51) although there was substantial variation between constructs. For example, the beneficial effects on performance of task cohesion ( d = 1.00) and self-efficacy ( d = 0.82) are large, and the available evidence base for use of mindfulness interventions suggests a very large beneficial effect on performance ( d = 1.35). Conversely, some hypothetically beneficial effects (2 of 36; 5.6%) were in the negligible-to-small range (0.15–0.20) and most beneficial effects (19 of 36; 52.8%) were in the small-to-moderate range (0.22–0.49). It should be noted that in the world of sport, especially at the elite level, even a small beneficial effect on performance derived from a psychological intervention may prove the difference between success and failure and hence small effects may be of great practical value. To put the scale of the benefits into perspective, an authoritative and extensively cited review of healthy eating and physical activity interventions [ 49 ] produced an overall pooled effect size of 0.31 (compared to 0.51 for our study), suggesting sport psychology interventions designed to improve performance are generally more effective than interventions designed to promote healthy living.

Among hypothetically negative effects (e.g., ego climate, cognitive anxiety, depression), the mean detrimental effect was small ( d = -0.21) although again substantial variation among constructs was evident. Some hypothetically negative constructs (5 of 24; 20.8%) were found to actually provide benefits to performance, albeit in the negligible range (0.02–0.12) and only two constructs (8.3%), both from Lochbaum and colleagues’ POMS meta-analysis [ 21 ], were shown to negatively affect performance above a moderate level (depression: d = -0.64; total mood disturbance, which incorporates the depression subscale: d = -0.84). Readers should note that the POMS and its derivatives assess six specific mood dimensions rather than the mood construct more broadly, and therefore results should not be extrapolated to other dimensions of mood [ 50 ].

Mean effects were larger among higher quality than lower quality meta-analyses for both hypothetically positive ( d = 0.54 vs d = 0.45) and negative effects ( d = -0.25 vs d = 0.17), but in neither case were the differences significant. It is reasonable to assume that the true effects were derived from the higher quality meta-analyses, although our conclusions remain the same regardless of study quality. Overall, our findings provide a more rigorous evidence base for the use of sport psychology techniques by practitioners than was previously available, representing a significant contribution to knowledge. Moreover, our systematic scrutiny of 30 meta-analyses published between 1983 and 2021 has facilitated a series of recommendations to improve the quality of future investigations in the sport psychology area.

Recommendations

The development of sport psychology as an academic discipline and area of professional practice relies on using evidence and theory to guide practice. Hence, a strong evidence base for the applied work of sport psychologists is of paramount importance. Although the beneficial effects of some sport psychology techniques are small, it is important to note the larger performance benefits for other techniques, which may be extremely meaningful for applied practice. Overall, however, especially given the heterogeneity of the observed effects, it would be wise for applied practitioners to avoid overpromising the benefits of sport psychology services to clients and perhaps underdelivering as a result [ 1 ].

The results of our systematic review can be used to generate recommendations for how the profession might conduct improved research to better inform applied practice. Much of the early research in sport psychology was exploratory and potential moderating variables were not always sufficiently controlled. Terry [ 51 ] outlined this in relation to the study of mood-performance relationships, identifying that physical and skills factors will very likely exert a greater influence on performance than psychological factors. Further, type of sport (e.g., individual vs. team), duration of activity (e.g., short vs. long duration), level of competition (e.g., elite vs. recreational), and performance measure (e.g., norm-referenced vs. self-referenced) have all been implicated as potential moderators of the relationship between psychological variables and sport performance [ 51 ]. To detect the relatively subtle effects of psychological effects on performance, research designs need to be sufficiently sensitive to such potential confounds. Several specific methodological issues are worth discussing.

The first issue relates to measurement. Investigating the strength of a relationship requires the measured variables to be valid, accurate and reliable. Psychological variables in the meta-analyses we reviewed relied primarily on self-report outcome measures. The accuracy of self-report data requires detailed inner knowledge of thoughts, emotions, and behavior. Research shows that the accuracy of self-report information is subject to substantial individual differences [ 52 , 53 ]. Therefore, self-report data, at best, are an estimate of the measure. Measurement issues are especially relevant to the assessment of performance, and considerable measurement variation was evident between meta-analyses. Some performance measures were more sensitive, especially those assessing physical performance relative to what is normal for the individual performer (i.e., self-referenced performance). Hence, having multiple baseline indicators of performance increases the probability of identifying genuine performance enhancement derived from a psychological intervention [ 54 ].

A second issue relates to clarifying the rationale for how and why specific psychological variables might influence performance. A comprehensive review of prerequisites and precursors of athletic talent [ 55 ] concluded that the superiority of Olympic champions over other elite athletes is determined in part by a range of psychological variables, including high intrinsic motivation, determination, dedication, persistence, and creativity, thereby identifying performance-related variables that might benefit from a psychological intervention. Identifying variables that influence the effectiveness of interventions is a challenging but essential issue for researchers seeking to control and assess factors that might influence results [ 49 ]. A key part of this process is to use theory to propose the mechanism(s) by which an intervention might affect performance and to hypothesize how large the effect might be.

A third issue relates to the characteristics of the research participants involved. Out of convenience, it is not uncommon for researchers to use undergraduate student participants for research projects, which may bias results and restrict the generalization of findings to the population of primary interest, often elite athletes. The level of training and physical conditioning of participants will clearly influence their performance. Highly trained athletes will typically make smaller gains in performance over time than novice athletes, due to a ceiling effect (i.e., they have less room for improvement). For example, consider runner A, who takes 20 minutes to run 5km one week but 19 minutes the next week, and Runner B who takes 30 minutes one week and 25 minutes the next. If we compare the two, Runner A runs faster than Runner B on both occasions, but Runner B improved more, so whose performance was better? If we also consider Runner C, a highly trained athlete with a personal best of 14 minutes, to run 1 minute quicker the following week would almost require a world record time, which is clearly unlikely. For this runner, an improvement of a few seconds would represent an excellent performance. Evidence shows that trained, highly motivated athletes may reach performance plateaus and as such are good candidates for psychological skills training. They are less likely to make performance gains due to increased training volume and therefore the impact of psychological skills interventions may emerge more clearly. Therefore, both test-retest and cross-sectional research designs should account for individual difference variables. Further, the range of individual difference factors will be context specific; for example, individual differences in strength will be more important in a study that uses weightlifting as the performance measure than one that uses darts as the performance measure, where individual differences in skill would be more important.

A fourth factor that has not been investigated extensively relates to the variables involved in learning sport psychology techniques. Techniques such as imagery, self-talk and goal setting all require cognitive processing and as such some people will learn them faster than others [ 56 ]. Further, some people are intuitive self-taught users of, for example, mood regulation strategies such as abdominal breathing or listening to music who, if recruited to participate in a study investigating the effects of learning such techniques on performance, would respond differently to novice users. Hence, a major challenge when testing the effects of a psychological intervention is to establish suitable controls. A traditional non-treatment group offers one option, but such an approach does not consider the influence of belief effects (i.e., placebo/nocebo), which can either add or detract from the effectiveness of performance interventions [ 57 ]. If an individual believes that, an intervention will be effective, this provides a motivating effect for engagement and so performance may improve via increased effort rather than the effect of the intervention per se.

When there are positive beliefs that an intervention will work, it becomes important to distinguish belief effects from the proposed mechanism through which the intervention should be successful. Research has shown that field studies often report larger effects than laboratory studies, a finding attributed to higher motivation among participants in field studies [ 58 ]. If participants are motivated to improve, being part of an active training condition should be associated with improved performance regardless of any intervention. In a large online study of over 44,000 participants, active training in sport psychology interventions was associated with improved performance, but only marginally more than for an active control condition [ 59 ]. The study involved 4-time Olympic champion Michael Johnson narrating both the intervention and active control using motivational encouragement in both conditions. Researchers should establish not only the expected size of an effect but also to specify and assess why the intervention worked. Where researchers report performance improvement, it is fundamental to explain the proposed mechanism by which performance was enhanced and to test the extent to which the improvement can be explained by the proposed mechanism(s).

Limitations

Systematic reviews are inherently limited by the quality of the primary studies included. Our review was also limited by the quality of the meta-analyses that had summarized the primary studies. We identified the following specific limitations; (1) only 12 meta-analyses summarized primary studies that were exclusively intervention-based, (2) the lack of detail regarding control groups in the intervention meta-analyses, (3) cross-sectional and correlation-based meta-analyses by definition do not test causation, and therefore provide limited direct evidence of the efficacy of interventions, (4) the extensive array of performance measures even within a single meta-analysis, (5) the absence of mechanistic explanations for the observed effects, and (6) an absence of detail across intervention-based meta-analyses regarding number of sessions, participants’ motivation to participate, level of expertise, and how the intervention was delivered. To ameliorate these concerns, we included a quality rating for all included meta-analyses. Having created higher and lower quality groups using a median split of quality ratings, we showed that effects were larger, although not significantly so, in the higher quality group of meta-analyses, all of which were published since 2015.

Conclusions

Journals are full of studies that investigate relationships between psychological variables and sport performance. Since 1983, researchers have utilized meta-analytic methods to summarize these single studies, and the pace is accelerating, with six relevant meta-analyses published since 2020. Unquestionably, sport psychology and performance research is fraught with limitations related to unsophisticated experimental designs. In our aggregation of the effect size values, most were small-to-moderate in meaningfulness with a handful of large values. Whether these moderate and large values could be replicated using more sophisticated research designs is unknown. We encourage use of improved research designs, at the minimum the use of control conditions. Likewise, we encourage researchers to adhere to meta-analytic guidelines such as PRISMA and for journals to insist on such adherence as a prerequisite for the acceptance of reviews. Although such guidelines can appear as a ‘painting by numbers’ approach, while reviewing the meta-analyses, we encountered difficulty in assessing and finding pertinent information for our study characteristics and quality ratings. In conclusion, much research exists in the form of quantitative reviews of studies published since 1934, almost 100 years after the very first publication about sport psychology and performance [ 2 ]. Sport psychology is now truly global in terms of academic pursuits and professional practice and the need for best practice information plus a strong evidence base for the efficacy of interventions is paramount. We should strive as a profession to research and provide best practices to athletes and the general community of those seeking performance improvements.

Supporting information

S1 checklist, acknowledgments.

We acknowledge the work of all academics since Koch in 1830 [ 2 ] for their efforts to research and promote the practice of applied sport psychology.

Funding Statement

The author(s) received no specific funding for this work.

Data Availability

PLoS One. 2022; 17(2): e0263408.

Decision Letter 0

PONE-D-21-31186Sport psychology and performance meta-analyses: A systematic review of the literaturePLOS ONE

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Reviewer #2: Yes

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Reviewer #1: The paper entitled: “Sport psychology and performance meta-analyses: A systematic review of the literature” aimed to synthesize the extant literature to gain insights into the overall impact of sport psychology on athletic performance. The paper is well written and has a great and strong methodology. However, the introduction and discussion are not persuasive enough that the findings make a significant contribution to the literature and could therefore override these limitations. I include some comments below related to this summary for consideration.

1. In relation to the contribution of the study to the literature, I did not get a sense from the article that the findings revealed anything other than what we already know. Please clarified that;

2. The introduction of the paper was very descriptive, it did not situate the current study in literature or highlight what the gap in the literature is that this study is trying to address. At least, the authors should situate better the main purposes of this study;

3. The discussion is very descriptive and any statements about the contribution and conclusions of the study are not new. At least this moment. Please clarified better and justified your choices.

4. Overall, the paper has conditions for be accepted in PLOS ONE, however the authors should clarified the points above.

Reviewer #2: The submitted work presents a very interesting approach to summarize the results of systematic reviews/meta-analysis regarding sport psychology and performance. I must say that it is rare as a reviewer to find a so relevant and well developed study (particularly a review of literature) in which I can add and help so little. The authors are to be commended for the excellent work developed.

Given this, I can make 1 or 2 remarks in some sections, although I do not believe they are needed to ensure a final quality of the developed work. I believe this work can be published as it is, and my comments should only be considered if the authors feel they are noteworthy.

Lines 99 to 102. Given that several examples were presented before (e.g., journals), why the inclusion of only one book? Several examples could be given here, thus maintaining the line of reasoning presented before.

In method, why report PRISMA 2009, 2015 and 2020 guidelines? As stated in the Page et al (2020) reference used: "The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesis studies". Won't the 2020 reference be enough?

As a last remark, I wonder if a discussion (or a comment in the discussion/limitations) regarding mood, and particularly POMS, is needed. In this work and in some of the cited works (e.g., Lochbaum et al., 2021, EJIHPE) no discussion regarding the issues of POMS as an assessing tool for mood is presented. As mentioned by several researchers (e.g., Ekkekakis, 2013), POMS do not assess mood, at least not in a global domain. This do not impact directly this work, as generally only each of the six distinct states are explored. However, when interpreting figure 2 and extracting mood results, perhaps some clarification would frame the readers on this issues and respective interpretation of results.

Ekkekakis, P. (2013). The measurement of affect, mood and emotion. Cambridge University Press.

I am sorry I can not help any further with my comments. Thank you for your work.

Best regards

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Reviewer #2: Yes: Diogo S. Teixeira

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Author response to Decision Letter 0

13 Dec 2021

Response to Reviewers

Thank you to both reviewers for taking time to review and comment on our manuscript. We addressed all comments.

Reviewer #1: Yes

Reviewer #2: Yes

Author response: Thank you to the reviewers for their positive comments.

________________________________________

Reviewer #1: No

Author response: All pertinent data are found in Table 1 – 2 and in Figure 1.

Author response: Reviewer 1’s concerns have been addressed below.

Reviewer #1

The paper entitled: “Sport psychology and performance meta-analyses: A systematic review of the literature” aimed to synthesize the extant literature to gain insights into the overall impact of sport psychology on athletic performance. The paper is well written and has a great and strong methodology. However, the introduction and discussion are not persuasive enough that the findings make a significant contribution to the literature and could therefore override these limitations. I include some comments below related to this summary for consideration.

• Author response: We have amended the paper to address the three concerns below.

Comment 1. In relation to the contribution of the study to the literature, I did not get a sense from the article that the findings revealed anything other than what we already know. Please clarified that;

• Author response: We have expanded on the gap in the knowledge that we addressed on lines 115-121 on the revised manuscript.

Comment 2. The introduction of the paper was very descriptive, it did not situate the current study in literature or highlight what the gap in the literature is that this study is trying to address. At least, the authors should situate better the main purposes of this study;

• Author response: Currently, sport psychology practitioners wishing to use evidence-based strategies are faced with inconsistent evidence about the efficacy of sport psychology techniques. Our paper addresses this inconsistency by assessing the effectiveness of techniques collectively. This is explained on lines 115-121 and with some small modifications on lines 125-128.

Comment 3. The discussion is very descriptive and any statements about the contribution and conclusions of the study are not new. At least this moment. Please clarified better and justified your choices.

• Author response: As suggested, a stronger summary of the contribution of the paper is provided on lines 371-375. We would also argue that the recommendations section for improvements to future studies also represents a significant contribution to the body of knowledge. If the information provided is already well known, as the reviewer suggests, then we would question why previous investigators have not implemented it in their studies.

Comment 4. Overall, the paper has conditions for be accepted in PLOS ONE, however the authors should clarified the points above.

• Author response: We thank you for your comments, which have served to improve our paper.

Reviewer #2

The submitted work presents a very interesting approach to summarize the results of systematic reviews/meta-analysis regarding sport psychology and performance. I must say that it is rare as a reviewer to find a so relevant and well developed study (particularly a review of literature) in which I can add and help so little. The authors are to be commended for the excellent work developed.

• Author response: Many thanks for your extremely positive comments.

Comment 1. Given this, I can make 1 or 2 remarks in some sections, although I do not believe they are needed to ensure a final quality of the developed work. I believe this work can be published as it is, and my comments should only be considered if the authors feel they are noteworthy.

• Author response: As suggested, we have added some additional references to books on lines 99-104 and added them to the reference list on lines 523-524 and 527-529.

Comment 2. In method, why report PRISMA 2009, 2015 and 2020 guidelines? As stated in the Page et al (2020) reference used: "The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesis studies". Won't the 2020 reference be enough?

• Author response: As suggested, we have removed reference to the PRISMA guidelines published in 2009 and 2015.

Comment 3. As a last remark, I wonder if a discussion (or a comment in the discussion/limitations) regarding mood, and particularly POMS, is needed. In this work and in some of the cited works (e.g., Lochbaum et al., 2021, EJIHPE) no discussion regarding the issues of POMS as an assessing tool for mood is presented. As mentioned by several researchers (e.g., Ekkekakis, 2013), POMS do not assess mood, at least not in a global domain. This do not impact directly this work, as generally only each of the six distinct states are explored. However, when interpreting figure 2 and extracting mood results, perhaps some clarification would frame the readers on this issues and respective interpretation of results.

• Author response: It was not our intent to critique the construct validity of the measures used in the meta-analyses we reviewed. Nevertheless, as suggested, we have added a note that the POMS and its derivatives do not measure all aspects of the global domain of mood (see lines 364-366).

I am sorry I cannot help any further with my comments. Thank you for your work.

• Author response: We are delighted to know that you thought so highly of our paper.

Submitted filename: Response to Reviewers.docx

Decision Letter 1

19 Jan 2022

PONE-D-21-31186R1

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Acceptance letter

25 Jan 2022

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Book Title: Quantitative Analysis in Exercise and Sport Science

Authors: Chris Bailey, PhD, CSCS, RSCC

Cover image for Quantitative Analysis in Exercise and Sport Science

Book Description: This book serves as an introduction to quantitative analysis in Exercise and Sport Science, but it also aims to give readers hands-on experience if they choose to follow along with the included exercises. It includes background information and technique descriptions, step by step instructions on using statistical techniques and interpretation, and reproducible examples with included datasets.

Book Information

Quantitative Analysis in Exercise and Sport Science by University of North Texas is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

Biomechanics, human kinetics

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A Study between Sports Participation and Academic Performance

The purpose of this study was to analyse the effect that participating in extracurricular sporting activities has on academic performance among students in higher education. Prior research on this topic has yielded contradictory results: while some authors find a positive effect of sports participation on academic outcomes, others report a negative impact. Accordingly, the authors seek to provide a more rounded understanding of these mixed findings. There was a positive significant relationship between sports participation and academic performance. Implications and recommendations on how to improve academic performance of athletes were discussed in the study.

Related Papers

Theory & Practice in Rural Education

The purpose of this study was to address the gap in research related to whether measures of participation (intensity and breadth) demonstrated a relationship with academic achievement for 11th grade student athletes (N=128) in a rural Midwestern high school. Anonymous athletic participation and achievement data from 2015-2017 was obtained from the school’s archive and analyzed by correlation, hierarchical regression, and one-way ANOVA. Data derived from statistical analyses demonstrated two outcomes regarding sport participation, ACT, and GPA: (a) Intensity demonstrated no statistical significance to student achievement measured by ACT, however intensity demonstrated a statistically significant relationship to cumulative GPA (p < .05), and (b) ANOVA analysis demonstrated statistically significant differences in breadth and GPA (p < .01) between one sport athletes and three sport athletes. Three sport athletes had statistically significantly higher GPAs than one sport athletes ...

Sports have become a major business and attraction for the Ghanaian public and it is not surprising, therefore, that the popularity of professionals has been reflected in the sports programme of senior high schools. The pressure to win is felt by most senior high school coaches and heads of schools. It is therefore not surprising that a conflict has developed between the academic and sports communities on many of the nation’s school. While a number of researchers studied sports participation and academic performance in college (Ferris & Finster, 2004; Gaston-Gayles, 2005), few studies addressed the relationship between academics and sports participation at the high school level. Similarly, these studies have focused on the comparison of non-athletes to athletes; with respect to a variety of dependent variables (Yiannakis and Melnick, 2001). The effect of participation on athletics, with respect to its direct effect on the participants themselves, has not been investigated in the literature. Taras (2005) conducted a review of studies on younger students and the effect that physical activity had on school performance.

Urban Education

Ashley E Cureton

The Search Institute Series on Developmentally Attentive Community and Society

Bonnie Barber

Russen Jay C . Reyes

Eisill Masay Sach

Journal of Exercise Science and Physiotherapy

kulbir singh Rana

Youth & Society

Chandra Muller , D. Shifrer

Masters Theses

A quantitative analysis of collegiate athletic involvement and academic achievement among sport management students.

Christopher Amos Follow

School of Education

Master of Science in Sport Management (MS)

James Reese

Primary Subject Area

Education, General; Education, Tests and Measurements; Education, Higher; Education, Health; Business Administration, Management

Academic Achievement, GPA, Hours, Job, Management, Sport

Disciplines

Business Administration, Management, and Operations | Education | Educational Assessment, Evaluation, and Research | Sports Studies

Recommended Citation

Amos, Christopher, "A Quantitative Analysis of Collegiate Athletic Involvement and Academic Achievement among Sport Management Students" (2013). Masters Theses . 288. https://digitalcommons.liberty.edu/masters/288

Within the last several decades, more attention has been focused on the academic success of college athletes. It has been documented from several studies that high school athletes perform better academically than their non-athlete peers (American Sports Institute, 1995; Brand, 2007; Dilley-Knoles, Burnett, & Peak, 2010; Foltz, 1992; Fox, Barr-Anderson, Neumark-Sztainer, & Wall, 2010; Slear, 2005). However, at the collegiate level, this heightened academic achievement trend among student-athletes is not so clear. Lapchick often releases data regarding graduation rates among a select group of highly achieving teams in certain sports but not much exists in the way of a comparison of academic achievement by using student Grade Point Averages (GPA) as a measuring tool. This study examines the academic success of student-athletes by comparing the achievement of various athletic teams with students enrolled in a particular set of classes at a Division I institution. Also, in accordance with the time management explanation of student-athlete success (Byrd & Ross, 1991), GPA comparisons are conducted between athletes and non-athletes using in-season athletic hours and working hours as a level comparable variable from which to examine. Several interesting patterns emerged from the data suggesting that although time commitments among athletes and non-athletes may have somewhat of a positive effect on academic achievement, it is not necessary significant.

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Home » 500+ Quantitative Research Titles and Topics

500+ Quantitative Research Titles and Topics

Table of Contents

Quantitative research involves collecting and analyzing numerical data to identify patterns, trends, and relationships among variables. This method is widely used in social sciences, psychology , economics , and other fields where researchers aim to understand human behavior and phenomena through statistical analysis. If you are looking for a quantitative research topic, there are numerous areas to explore, from analyzing data on a specific population to studying the effects of a particular intervention or treatment. In this post, we will provide some ideas for quantitative research topics that may inspire you and help you narrow down your interests.

Quantitative Research Titles

Quantitative Research Titles are as follows:

Business and Economics

“Statistical Analysis of Supply Chain Disruptions on Retail Sales”
“Quantitative Examination of Consumer Loyalty Programs in the Fast Food Industry”
“Predicting Stock Market Trends Using Machine Learning Algorithms”
“Influence of Workplace Environment on Employee Productivity: A Quantitative Study”
“Impact of Economic Policies on Small Businesses: A Regression Analysis”
“Customer Satisfaction and Profit Margins: A Quantitative Correlation Study”
“Analyzing the Role of Marketing in Brand Recognition: A Statistical Overview”
“Quantitative Effects of Corporate Social Responsibility on Consumer Trust”
“Price Elasticity of Demand for Luxury Goods: A Case Study”
“The Relationship Between Fiscal Policy and Inflation Rates: A Time-Series Analysis”
“Factors Influencing E-commerce Conversion Rates: A Quantitative Exploration”
“Examining the Correlation Between Interest Rates and Consumer Spending”
“Standardized Testing and Academic Performance: A Quantitative Evaluation”
“Teaching Strategies and Student Learning Outcomes in Secondary Schools: A Quantitative Study”
“The Relationship Between Extracurricular Activities and Academic Success”
“Influence of Parental Involvement on Children’s Educational Achievements”
“Digital Literacy in Primary Schools: A Quantitative Assessment”
“Learning Outcomes in Blended vs. Traditional Classrooms: A Comparative Analysis”
“Correlation Between Teacher Experience and Student Success Rates”
“Analyzing the Impact of Classroom Technology on Reading Comprehension”
“Gender Differences in STEM Fields: A Quantitative Analysis of Enrollment Data”
“The Relationship Between Homework Load and Academic Burnout”
“Assessment of Special Education Programs in Public Schools”
“Role of Peer Tutoring in Improving Academic Performance: A Quantitative Study”

Medicine and Health Sciences

“The Impact of Sleep Duration on Cardiovascular Health: A Cross-sectional Study”
“Analyzing the Efficacy of Various Antidepressants: A Meta-Analysis”
“Patient Satisfaction in Telehealth Services: A Quantitative Assessment”
“Dietary Habits and Incidence of Heart Disease: A Quantitative Review”
“Correlations Between Stress Levels and Immune System Functioning”
“Smoking and Lung Function: A Quantitative Analysis”
“Influence of Physical Activity on Mental Health in Older Adults”
“Antibiotic Resistance Patterns in Community Hospitals: A Quantitative Study”
“The Efficacy of Vaccination Programs in Controlling Disease Spread: A Time-Series Analysis”
“Role of Social Determinants in Health Outcomes: A Quantitative Exploration”
“Impact of Hospital Design on Patient Recovery Rates”
“Quantitative Analysis of Dietary Choices and Obesity Rates in Children”

Social Sciences

“Examining Social Inequality through Wage Distribution: A Quantitative Study”
“Impact of Parental Divorce on Child Development: A Longitudinal Study”
“Social Media and its Effect on Political Polarization: A Quantitative Analysis”
“The Relationship Between Religion and Social Attitudes: A Statistical Overview”
“Influence of Socioeconomic Status on Educational Achievement”
“Quantifying the Effects of Community Programs on Crime Reduction”
“Public Opinion and Immigration Policies: A Quantitative Exploration”
“Analyzing the Gender Representation in Political Offices: A Quantitative Study”
“Impact of Mass Media on Public Opinion: A Regression Analysis”
“Influence of Urban Design on Social Interactions in Communities”
“The Role of Social Support in Mental Health Outcomes: A Quantitative Analysis”
“Examining the Relationship Between Substance Abuse and Employment Status”

Engineering and Technology

“Performance Evaluation of Different Machine Learning Algorithms in Autonomous Vehicles”
“Material Science: A Quantitative Analysis of Stress-Strain Properties in Various Alloys”
“Impacts of Data Center Cooling Solutions on Energy Consumption”
“Analyzing the Reliability of Renewable Energy Sources in Grid Management”
“Optimization of 5G Network Performance: A Quantitative Assessment”
“Quantifying the Effects of Aerodynamics on Fuel Efficiency in Commercial Airplanes”
“The Relationship Between Software Complexity and Bug Frequency”
“Machine Learning in Predictive Maintenance: A Quantitative Analysis”
“Wearable Technologies and their Impact on Healthcare Monitoring”
“Quantitative Assessment of Cybersecurity Measures in Financial Institutions”
“Analysis of Noise Pollution from Urban Transportation Systems”
“The Influence of Architectural Design on Energy Efficiency in Buildings”

Quantitative Research Topics

Quantitative Research Topics are as follows:

The effects of social media on self-esteem among teenagers.
A comparative study of academic achievement among students of single-sex and co-educational schools.
The impact of gender on leadership styles in the workplace.
The correlation between parental involvement and academic performance of students.
The effect of mindfulness meditation on stress levels in college students.
The relationship between employee motivation and job satisfaction.
The effectiveness of online learning compared to traditional classroom learning.
The correlation between sleep duration and academic performance among college students.
The impact of exercise on mental health among adults.
The relationship between social support and psychological well-being among cancer patients.
The effect of caffeine consumption on sleep quality.
A comparative study of the effectiveness of cognitive-behavioral therapy and pharmacotherapy in treating depression.
The relationship between physical attractiveness and job opportunities.
The correlation between smartphone addiction and academic performance among high school students.
The impact of music on memory recall among adults.
The effectiveness of parental control software in limiting children’s online activity.
The relationship between social media use and body image dissatisfaction among young adults.
The correlation between academic achievement and parental involvement among minority students.
The impact of early childhood education on academic performance in later years.
The effectiveness of employee training and development programs in improving organizational performance.
The relationship between socioeconomic status and access to healthcare services.
The correlation between social support and academic achievement among college students.
The impact of technology on communication skills among children.
The effectiveness of mindfulness-based stress reduction programs in reducing symptoms of anxiety and depression.
The relationship between employee turnover and organizational culture.
The correlation between job satisfaction and employee engagement.
The impact of video game violence on aggressive behavior among children.
The effectiveness of nutritional education in promoting healthy eating habits among adolescents.
The relationship between bullying and academic performance among middle school students.
The correlation between teacher expectations and student achievement.
The impact of gender stereotypes on career choices among high school students.
The effectiveness of anger management programs in reducing violent behavior.
The relationship between social support and recovery from substance abuse.
The correlation between parent-child communication and adolescent drug use.
The impact of technology on family relationships.
The effectiveness of smoking cessation programs in promoting long-term abstinence.
The relationship between personality traits and academic achievement.
The correlation between stress and job performance among healthcare professionals.
The impact of online privacy concerns on social media use.
The effectiveness of cognitive-behavioral therapy in treating anxiety disorders.
The relationship between teacher feedback and student motivation.
The correlation between physical activity and academic performance among elementary school students.
The impact of parental divorce on academic achievement among children.
The effectiveness of diversity training in improving workplace relationships.
The relationship between childhood trauma and adult mental health.
The correlation between parental involvement and substance abuse among adolescents.
The impact of social media use on romantic relationships among young adults.
The effectiveness of assertiveness training in improving communication skills.
The relationship between parental expectations and academic achievement among high school students.
The correlation between sleep quality and mood among adults.
The impact of video game addiction on academic performance among college students.
The effectiveness of group therapy in treating eating disorders.
The relationship between job stress and job performance among teachers.
The correlation between mindfulness and emotional regulation.
The impact of social media use on self-esteem among college students.
The effectiveness of parent-teacher communication in promoting academic achievement among elementary school students.
The impact of renewable energy policies on carbon emissions
The relationship between employee motivation and job performance
The effectiveness of psychotherapy in treating eating disorders
The correlation between physical activity and cognitive function in older adults
The effect of childhood poverty on adult health outcomes
The impact of urbanization on biodiversity conservation
The relationship between work-life balance and employee job satisfaction
The effectiveness of eye movement desensitization and reprocessing (EMDR) in treating trauma
The correlation between parenting styles and child behavior
The effect of social media on political polarization
The impact of foreign aid on economic development
The relationship between workplace diversity and organizational performance
The effectiveness of dialectical behavior therapy in treating borderline personality disorder
The correlation between childhood abuse and adult mental health outcomes
The effect of sleep deprivation on cognitive function
The impact of trade policies on international trade and economic growth
The relationship between employee engagement and organizational commitment
The effectiveness of cognitive therapy in treating postpartum depression
The correlation between family meals and child obesity rates
The effect of parental involvement in sports on child athletic performance
The impact of social entrepreneurship on sustainable development
The relationship between emotional labor and job burnout
The effectiveness of art therapy in treating dementia
The correlation between social media use and academic procrastination
The effect of poverty on childhood educational attainment
The impact of urban green spaces on mental health
The relationship between job insecurity and employee well-being
The effectiveness of virtual reality exposure therapy in treating anxiety disorders
The correlation between childhood trauma and substance abuse
The effect of screen time on children’s social skills
The impact of trade unions on employee job satisfaction
The relationship between cultural intelligence and cross-cultural communication
The effectiveness of acceptance and commitment therapy in treating chronic pain
The correlation between childhood obesity and adult health outcomes
The effect of gender diversity on corporate performance
The impact of environmental regulations on industry competitiveness.
The impact of renewable energy policies on greenhouse gas emissions
The relationship between workplace diversity and team performance
The effectiveness of group therapy in treating substance abuse
The correlation between parental involvement and social skills in early childhood
The effect of technology use on sleep patterns
The impact of government regulations on small business growth
The relationship between job satisfaction and employee turnover
The effectiveness of virtual reality therapy in treating anxiety disorders
The correlation between parental involvement and academic motivation in adolescents
The effect of social media on political engagement
The impact of urbanization on mental health
The relationship between corporate social responsibility and consumer trust
The correlation between early childhood education and social-emotional development
The effect of screen time on cognitive development in young children
The impact of trade policies on global economic growth
The relationship between workplace diversity and innovation
The effectiveness of family therapy in treating eating disorders
The correlation between parental involvement and college persistence
The effect of social media on body image and self-esteem
The impact of environmental regulations on business competitiveness
The relationship between job autonomy and job satisfaction
The effectiveness of virtual reality therapy in treating phobias
The correlation between parental involvement and academic achievement in college
The effect of social media on sleep quality
The impact of immigration policies on social integration
The relationship between workplace diversity and employee well-being
The effectiveness of psychodynamic therapy in treating personality disorders
The correlation between early childhood education and executive function skills
The effect of parental involvement on STEM education outcomes
The impact of trade policies on domestic employment rates
The relationship between job insecurity and mental health
The effectiveness of exposure therapy in treating PTSD
The correlation between parental involvement and social mobility
The effect of social media on intergroup relations
The impact of urbanization on air pollution and respiratory health.
The relationship between emotional intelligence and leadership effectiveness
The effectiveness of cognitive-behavioral therapy in treating depression
The correlation between early childhood education and language development
The effect of parental involvement on academic achievement in STEM fields
The impact of trade policies on income inequality
The relationship between workplace diversity and customer satisfaction
The effectiveness of mindfulness-based therapy in treating anxiety disorders
The correlation between parental involvement and civic engagement in adolescents
The effect of social media on mental health among teenagers
The impact of public transportation policies on traffic congestion
The relationship between job stress and job performance
The effectiveness of group therapy in treating depression
The correlation between early childhood education and cognitive development
The effect of parental involvement on academic motivation in college
The impact of environmental regulations on energy consumption
The relationship between workplace diversity and employee engagement
The effectiveness of art therapy in treating PTSD
The correlation between parental involvement and academic success in vocational education
The effect of social media on academic achievement in college
The impact of tax policies on economic growth
The relationship between job flexibility and work-life balance
The effectiveness of acceptance and commitment therapy in treating anxiety disorders
The correlation between early childhood education and social competence
The effect of parental involvement on career readiness in high school
The impact of immigration policies on crime rates
The relationship between workplace diversity and employee retention
The effectiveness of play therapy in treating trauma
The correlation between parental involvement and academic success in online learning
The effect of social media on body dissatisfaction among women
The impact of urbanization on public health infrastructure
The relationship between job satisfaction and job performance
The effectiveness of eye movement desensitization and reprocessing therapy in treating PTSD
The correlation between early childhood education and social skills in adolescence
The effect of parental involvement on academic achievement in the arts
The impact of trade policies on foreign investment
The relationship between workplace diversity and decision-making
The effectiveness of exposure and response prevention therapy in treating OCD
The correlation between parental involvement and academic success in special education
The impact of zoning laws on affordable housing
The relationship between job design and employee motivation
The effectiveness of cognitive rehabilitation therapy in treating traumatic brain injury
The correlation between early childhood education and social-emotional learning
The effect of parental involvement on academic achievement in foreign language learning
The impact of trade policies on the environment
The relationship between workplace diversity and creativity
The effectiveness of emotion-focused therapy in treating relationship problems
The correlation between parental involvement and academic success in music education
The effect of social media on interpersonal communication skills
The impact of public health campaigns on health behaviors
The relationship between job resources and job stress
The effectiveness of equine therapy in treating substance abuse
The correlation between early childhood education and self-regulation
The effect of parental involvement on academic achievement in physical education
The impact of immigration policies on cultural assimilation
The relationship between workplace diversity and conflict resolution
The effectiveness of schema therapy in treating personality disorders
The correlation between parental involvement and academic success in career and technical education
The effect of social media on trust in government institutions
The impact of urbanization on public transportation systems
The relationship between job demands and job stress
The correlation between early childhood education and executive functioning
The effect of parental involvement on academic achievement in computer science
The effectiveness of cognitive processing therapy in treating PTSD
The correlation between parental involvement and academic success in homeschooling
The effect of social media on cyberbullying behavior
The impact of urbanization on air quality
The effectiveness of dance therapy in treating anxiety disorders
The correlation between early childhood education and math achievement
The effect of parental involvement on academic achievement in health education
The impact of global warming on agriculture
The effectiveness of narrative therapy in treating depression
The correlation between parental involvement and academic success in character education
The effect of social media on political participation
The impact of technology on job displacement
The relationship between job resources and job satisfaction
The effectiveness of art therapy in treating addiction
The correlation between early childhood education and reading comprehension
The effect of parental involvement on academic achievement in environmental education
The impact of income inequality on social mobility
The relationship between workplace diversity and organizational culture
The effectiveness of solution-focused brief therapy in treating anxiety disorders
The correlation between parental involvement and academic success in physical therapy education
The effect of social media on misinformation
The impact of green energy policies on economic growth
The relationship between job demands and employee well-being
The correlation between early childhood education and science achievement
The effect of parental involvement on academic achievement in religious education
The impact of gender diversity on corporate governance
The relationship between workplace diversity and ethical decision-making
The correlation between parental involvement and academic success in dental hygiene education
The effect of social media on self-esteem among adolescents
The impact of renewable energy policies on energy security
The effect of parental involvement on academic achievement in social studies
The impact of trade policies on job growth
The relationship between workplace diversity and leadership styles
The correlation between parental involvement and academic success in online vocational training
The effect of social media on self-esteem among men
The impact of urbanization on air pollution levels
The effectiveness of music therapy in treating depression
The correlation between early childhood education and math skills
The effect of parental involvement on academic achievement in language arts
The impact of immigration policies on labor market outcomes
The effectiveness of hypnotherapy in treating phobias
The effect of social media on political engagement among young adults
The impact of urbanization on access to green spaces
The relationship between job crafting and job satisfaction
The effectiveness of exposure therapy in treating specific phobias
The correlation between early childhood education and spatial reasoning
The effect of parental involvement on academic achievement in business education
The impact of trade policies on economic inequality
The effectiveness of narrative therapy in treating PTSD
The correlation between parental involvement and academic success in nursing education
The effect of social media on sleep quality among adolescents
The impact of urbanization on crime rates
The relationship between job insecurity and turnover intentions
The effectiveness of pet therapy in treating anxiety disorders
The correlation between early childhood education and STEM skills
The effect of parental involvement on academic achievement in culinary education
The impact of immigration policies on housing affordability
The relationship between workplace diversity and employee satisfaction
The effectiveness of mindfulness-based stress reduction in treating chronic pain
The correlation between parental involvement and academic success in art education
The effect of social media on academic procrastination among college students
The impact of urbanization on public safety services.

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Sport Psychology Research Methods: Qualitative vs Quantitative

Qualitative and Quantitative

Qualitative and quantitative research methods are two commonly used psychological research approaches with very different procedures and objectives. It is important for researchers to understand the differences between these two modes of research in order to determine which approach is best suited to adequately address the research question. The greatest distinctions between these two fundamentally different research techniques are the genesis of theory and the role that theory plays in the mechanics of research. In the quantitative technique, the research effort begins with a theory: a statement that tries to explain observed phenomena. The theory is then operationalized (that is, stated in terms that can be statistically tested) through hypothesis. Data is gathered, statistical tests are completed, and the results are interpreted. The results either support the hypothesis or they do not. (Downey & Ireland, 1979)

Quantitative research is experimental and objective whereas qualitative research is explorative and is not in numerical form. Quantitative research is used to identify evidence of cause and effect relationships and is used to collect data from a larger population than qualitative research (Downey & Ireland, 1979). Aliaga and Gunderson (2000), explain that qualitative research is ‘Explaining phenomena by collecting numerical data that are analyzed using mathematically based methods’. It is used to quantify attitudes, opinions, behaviors, and other defined variables – and generalize results from a larger sample population.

Quantitative data collection methods are much more structured than qualitative data collection methods. Data collection methods used in qualitative research includes focus groups, triads, dyads, interviews and observation (Creswell, 2013). Qualitative data is descriptive, which is more difficult to analyze then quantitative data which is categorized, ranked, or in units of measurement. One benefit of qualitative research is the ability to observe, collect, and reach data that other methods cannot obtain. It also provides researchers with flexibility in conveying a story without the constraints of formal academic structure (Creswell, 2013). However, Berkwits and Inui (1998) explain that qualitative research is suspect in its usefulness to provide a generalize foundations for clinical decisions and policies.

Qualitative methods derive from a variety of psychological research disciplines and traditions (Crabtree & Miller, 2012). Different in many ways from quantitative research; yet qualitative research does have a quantitative connection. Qualitative research, also recognized as preliminary exploratory research, is used to capture communicative information not conveyed in quantitative data about beliefs, feelings, values, and motivations that trigger behaviors. They are used to learn directly from the participant what is important to them, to provide the context necessary to understand quantitative findings, and to identify variables important for future clinical studies (Crabtree & Miller, 2012). Qualitative research provides insights into the problem and helps to develop ideas or hypotheses for potential quantitative research.

Examining Qualitative Research

Qualitative research is primarily used in investigative research to explore a phenomenon. Creswell (2013) explains that qualitative methods should be used to study complex subjects and topics. Some subjects in which qualitative analysis is the methodology of choice include but are not limited to education, biology, behavior, health care, psychology, human resources, as well as societal issues such as cultural and racial issues, social norms and stigmas. The use of qualitative research is appropriate when the researcher wants to answer questions or solve a problem by collecting data to generate a theory or hypothesis. Qualitative research uses context and a non-judgmental approach to attempt to understand the phenomena in question from the subject’s point of view and is used to capture expressive information not conveyed in quantitative data about beliefs, values, feelings, and motivations that underlie behaviors (Berkwits & Inui, 1998). Qualitative research is a form of inquiry that analyzes information observed in natural settings.

Qualitative Research is also used to uncover trends in thought and opinions, and dive deeper into the problem. Qualitative data collection methods vary using unstructured or semi-structured techniques. Some common methods include focus groups (group discussions), individual interviews, and participation/observations. The sample size is typically small, and respondents are selected to fulfill a given quota. There are four philosophical assumptions of qualitative methodology recognized in psychological research: ontology, epistemology, axiology, and methodology.

Qualitative research comes from a variety of psychological research disciplines and traditions (Crabtree & Miller, 2012). It is a unique research approach because it allows research access to information that goes beyond quantitative measure. However, the main weakness of the qualitative approach is that it is difficult to provide generalizable foundation for scientific decisions and procedures behaviors (Berkwits & Inui, 1998). It is important to mention that some qualitative approaches use technical methods (such as statistical content analysis) to determine the significance of findings, while others rely on researchers thoughtful reflection (Crabtree & Miller, 2012).

Examining Quantitative Research

Quantitative research is experimental and objective. The objective of quantitative research is essentially to collect numerical data to explain a particular phenomenon (Hoe and Hoare, 2012). By using measurable data researchers are able to formulate facts and uncover patterns in research. The quantitative approach involves a systematic empirical investigation of a phenomenon using numerical data. It is used to identify evidence of cause and effect relationships, as well as collect data from a larger population than qualitative research (Downey & Ireland, 1979).

When conducting a quantitative study researchers use statistical tests to analyze research data. Quantitative data collection methods include various forms of surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations. For researchers using the quantitative technique, data is primary and context is secondary. This means that researchers gather data that can be counted, but the context in which the data is observed is not very important to the process. The data is analyzed and rational conclusions are drawn from the interpretation of the resulting numbers (Downey & Ireland, 1979).

Researches elect to use quantitative research when their research problem and questions are best suited to being answered using quantitative methods. Quantitative research is designed to quantify a research problem by way of generating numerical data or data that can be transformed into useable statistics. There are four main types of research questions best suited for quantitative research. The first type of question is a question demanding a qualitative answer (Hoe and Hoare, 2012). For example, how many I/O psychology students are currently enrolled at Capella. The second type of questions is when numerical can only be studies using quantitative methods (Hoe and Hoare, 2012). For example, is the number of I/O psychology students enrolled at Capella rising or falling? The third type of question concerns understanding the state of a phenomenon, such as the contributing factors (Hoe and Hoare, 2012). For example, what factors predict the recruitment of I/O psychology students to attend online universities? The final type of question best suited for quantitative methods is the testing of hypotheses?

There are three quantitative research approaches: (1) experimental, (2) quasi-experimental, and (3) non-experimental. Variables are the foundation of quantitative research. Variables are something that takes on different values or categories. The experimental approach is used to study the cause and effect relationship of variables, specifically the independent and dependent variables. This approach involves the use of true random assignments of variables for analysis. The defining characteristic of the experimental approach involves the manipulation of the independent variable. The quasi-experimental approach is similar to the experimental approach however the main difference is that it does not include the use of randomly assigned variables. The final quantitative research approach, non-experimental, is a comparative approach that differs from experimental because there is no manipulation of the independent variable or random assignment of variables (Leedy & Ormrod, 2013). Sources of references: Creswell, J. W. (2013). Qualitative inquiry and research design: Choosing among five approaches (3rd ed.). Newbury Park, CA: Sage Publications. Leedy, P. D., & Ormrod, J. E. (2013). The nature and tools of research. Practical research: Planning and design , 1-26.

I am working with a student on the use of psych testing with athletes and in sport psychology. Can you provide me with any advice, any publications to get, or authors/ researchers to follow?

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Journal of Quantitative Analysis in Sports
The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the ...
Quantitative Analysis of Sports
Given the aforementioned examples, it is evident that quantitative analyses of sport are (a) gaining interest in pop culture (e.g., Moneyball, 2003), (b) becoming increasingly used in sports management (e.g., Mark Cuban), and (c) growing as a legitimized subfield of science and sport (e.g., Journal of Quantitative Analysis in Sports). As such ...
Quantitative analysis of sports.
The premise of this chapter is to introduce the quantitative analysis of behavior as a precise means to assess the relevancy of behavioral processes to sport, while remaining conceptually systematic to the behavioral orientation to sports psychology. As discussed throughout this chapter, quantitative models provide an efficient means to organizing one's research questions while objectively and ...
Sport psychology and performance meta-analyses: A systematic review of
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The Science of Sports: Combining Quantitative Analysis and Sports
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PDF Students' Motivation for Sport Activity and Participation in University
quantitative and qualitative methods to analyze university students' motivation for sports engagement. Our study underlines the importance of combining quantitative and qualitativeresearchapproaches,sinceourqualitativeanalysis
Students' Motivation for Sport Activity and Participation ...
Students' Motivation for Sport Activity and Participation in University Sports: A Mixed-Methods Study is a research article that explores the reasons and factors that influence students' physical activity and their use of university sports programs. The article combines quantitative and qualitative methods to assess the validity of a 24-item battery and to identify possible improvements for ...
A Quantitative Analysis of Collegiate Athletic Involvement and Academic
For the sake of this research, GPA is defined as "a quantitative measure of academic record….on a scale from 0.0 to 4.0" (Fabio, 2010). For the sake of extending clarification, it may be necessary to determine what parameters made the author classify a student as an athlete. For the purpose of this research, an athlete will
The Effects of Participation in Athletics on Academic Performance among
Sports have become a major business and attraction for the American public. The print, radio, television, internet, and cinema media have contributed to the explosive popularity of both professional and collegiate sports. Billions of dollars are spent on the proliferating professional and collegiate sports industry. It is not surprising, therefore,
No medications necessary : a quantitative study examining the
A Quantitative Study Examining the . Relationship Between Self Esteem . and Sports Participation . of High School Girls . ABSTRACT . This study was undertaken to examine whether participating in sports has any relationship to one's level of self esteem. A lot of research has been done on the potential positive effects of participating in sports.
Big ideas in sports analytics and statistical tools for their
In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncracies of analytical approaches in each sport.
Book Title: Quantitative Analysis in Exercise and Sport Science
Chris Bailey, PhD, CSCS, RSCC. This book serves as an introduction to quantitative analysis in Exercise and Sport Science, but it also aims to give readers hands-on experience if they choose to follow along with the included exercises. It includes background information and technique descriptions, step by step instructions on using statistical ...
A Quantitative Study of The Relationship Between Athletic Spending and
Critics of athletic spending, on the other hand, argue that money spent on college sports could be spent in other areas of the university. Using a regression analysis similar to previous research, the purpose of this panel data regression analysis was to examine the relationship between intercollegiate athletics
A Study between Sports Participation and Academic Performance
Anne Balante. The purpose of this study was to analyse the effect that participating in extracurricular sporting activities has on academic performance among students in higher education. Prior research on this topic has yielded contradictory results: while some authors find a positive effect of sports participation on academic outcomes, others ...
Current Research and Statistical Practices in Sport Science and a Need
The occurrence of biased and unchallenged outcomes in sport science can be attributed to at least two factors. First, the current academic/publication structure to only reward new, unique and ground-breaking findings instils a need for producing research that has statistically significant results. Second, existing statistical practices lend ...
"A Quantitative Analysis of Collegiate Athletic Involvement and Academi
Within the last several decades, more attention has been focused on the academic success of college athletes. It has been documented from several studies that high school athletes perform better academically than their non-athlete peers (American Sports Institute, 1995; Brand, 2007; Dilley-Knoles, Burnett, & Peak, 2010; Foltz, 1992; Fox, Barr-Anderson, Neumark-Sztainer, & Wall, 2010; Slear ...
Sports involvement and Academic performance of student Athletes
Abstract. This study focused on determining the sports involvement and academic. performance of the student-athletes of Saint Bridget schools enrolled in school. year 2017-2018. Primarily, it ...
Full article: Qualitative research in sports studies: challenges
The impact on our field of research cultivated by the foundation of the International Society of Qualitative Research in Sport and Exercise and its associated journal (Qualitative Research in Sport, Exercise and Health), for example, is notable, whilst qualitative studies are a mainstay of many sociological journals (Dart, Citation 2014 ...
Quantitative data analysis in Sport Management Research
By the end of this chapter you should be able to: . identify the basic functions of the SPSS (Statistical Package for the Social Sciences) and its application to Sport Management Research; . describe the process of preparing and organizing your data for analysis; . recognize how to design and present results in tables, figures, graphs and a ...
Quantitative, qualitative and mixed research in sport science: A
There was a difference between quantitative, qualitative and mixed research, x²=131.95 (df=2; n=221; p=0.001). Relationships between different types of research in percentage were: quantitative ...
500+ Quantitative Research Titles and Topics
Quantitative Research Topics. Quantitative Research Topics are as follows: The effects of social media on self-esteem among teenagers. A comparative study of academic achievement among students of single-sex and co-educational schools. The impact of gender on leadership styles in the workplace.
Sport science is a global field of research: Issue resolved, or perhaps
Sport science is a growing research field, thanks notably to advancements in technology allowing for a deeper understanding of key determinants of athletic performance. According to the 2022 ShanghaiRanking, Australia, Canada, United Kingdom and the United States are currently the most represented countries in sport science.1 Collectively, these four countries feature nearly two-thirds of the ...
Sport Psychology Research Methods: Qualitative vs Quantitative
Examining Quantitative Research. Quantitative research is experimental and objective. The objective of quantitative research is essentially to collect numerical data to explain a particular phenomenon (Hoe and Hoare, 2012). By using measurable data researchers are able to formulate facts and uncover patterns in research.