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100 Questions (and Answers) About Research Methods

100 Questions (and Answers) About Research Methods

  • Neil J. Salkind
  • Description

"How do I create a good research hypothesis?"

"How do I know when my literature review is finished?"

"What is the difference between a sample and a population?"

"What is power and why is it important?"

In an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way.

See what’s new to this edition by selecting the Features tab on this page. Should you need additional information or have questions regarding the HEOA information provided for this title, including what is new to this edition, please email [email protected] . Please include your name, contact information, and the name of the title for which you would like more information. For information on the HEOA, please go to http://ed.gov/policy/highered/leg/hea08/index.html .

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"This is a concise text that has good coverage of the basic concepts and elementary principles of research methods. It picks up where many traditional research methods texts stop and provides additional discussion on some of the hardest to understand concepts."

"I think it’s a great idea for a text (or series), and I have no doubt that the majority of students would find it helpful. The material is presented clearly, and it is easy to read and understand. My favorite example from those provided is on p. 7 where the author provides an actual checklist for evaluating the merit of a study. This is a great tool for students and would provide an excellent “practice” approach to learning this skill. Over time students wouldn’t need a checklist, but I think it would be invaluable for those students with little to no research experience."

I already am using 3 other books. This is a good book though.

Did not meet my needs

I had heard good things about Salkind's statistics book and wanted to review his research book as well. The 100 questions format is cute, and may provide a quick answer to a specific student question. However, it's not really organized in a way that I find particularly useful for a more integrated course that progressively develop and builds upon concepts.

comes across as a little disorganized, plus a little too focused on psychology and statistics.

This text is a great resource guide for graduate students. But it may not work as well with undergraduates orienting themselves to the research process. However, I will use it as a recommended text for students.

Key Features

· The entire research process is covered from start to finish: Divided into nine parts, the book  guides readers from the initial asking of questions, through the analysis and interpretation of data, to the final report

· Each question and answer provides a stand-alone explanation: Readers gain enough information on a particular topic to move on to the next question, and topics can be read in any order

· Most questions and answers supplement others in the book: Important material is reinforced, and connections are made between the topics

· Each answer ends with referral to three other related questions: Readers are shown where to go for additional information on the most closely related topics

Sample Materials & Chapters

Question #16: Question #16: How Do I Know When My Literature Review Is Finished?

Question #32: How Can I Create a Good Research Hypothesis?

Question #40: What Is the Difference Between a Sample and a Population, and Why

Question #92: What Is Power, and Why Is It Important?

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Research Methods and Statistics in Psychology

Student resources, multiple choice questions.

Revise your knowledge with these multiple choice quiz questions.

Chapter 2: Research in Psychology: Objectives and Ideals

Chapter 3: Research Methods  

Chapter 4: Experimental Design

Chapter 5: Survey Design

Chapter 6: Descriptive Statistics

Chapter 7: Some Principles of Statistical Inference    

Chapter 8: Examining Differences between Means: The t -test

Chapter 9: Examining Relationships between Variables: Correlation    

Chapter 10: Comparing Two or More Means by Analysing Variances: ANOVA    

Chapter 11: Analysing Other Forms of Data: Chi-square and Distribution-free Tests

Chapter 12: Classical Qualitative Methods

Chapter 13: Contextual Qualitative Methods

Chapter 14: Research Ethics    

Chapter 15: Conclusion: Managing Uncertainty in Psychological Research

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100 questions (and answers) about research methods

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multiple choice questions and answers on research methods pdf

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Description

Creators/contributors, contents/summary.

  • Part 1. Understanding the Research Process and Getting Started
  • Part 2. Reviewing and Writing About Your Research Question
  • Part 3. Introductory Ideas About Ethics
  • Part 4. Research Methods: Knowing the Language, Knowing the Ideas
  • Part 5. Sampling Ideas and Issues
  • Part 6. Describing Data Using Descriptive Techniques
  • Part 7. All About Testing and Measuring
  • Part 8. Understanding Different Research Methods
  • Part 9. All About Inference and Significance.
  • (source: Nielsen Book Data)

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100 Questions (and Answers) About Survey Research

  • By: Erin Ruel
  • Publisher: SAGE Publications, Inc.
  • Series: SAGE 100 Questions and Answers
  • Publication year: 2019
  • Online pub date: February 08, 2021
  • Discipline: Sociology
  • Methods: Survey research , Sampling , Online surveys
  • DOI: https:// doi. org/10.4135/9781506348803
  • Keywords: copyright , income , population , publications , race , reliability and validity , surveying Show all Show less
  • Print ISBN: 9781506348827
  • Online ISBN: 9781071849385
  • Buy the book icon link

Subject index

KEY FEATURES: Introduces students to developing research questions and shows their importance in driving research design. Rarely taught topics, such as how to enter and clean data, offer students information missed in both research methods and statistics courses. Shows how to write up survey results for academic, business and nonprofit reports to alleviate the confusion students feel about how to write up findings. Rigorous treatment of sampling focuses on many sampling issues from probability theory to weighting. Offers the process of actually conducting a survey with advice on administering surveys, incentives, and improving response rates.

Front Matter

  • Acknowledgments
  • About the Author
  • Chapter 1 | What Is a Survey?
  • Chapter 2 | How Are Surveys Used?
  • Chapter 3 | What Are the Benefits of Doing a Survey?
  • Chapter 4 | What Is the Survey Research Process From Beginning to End?
  • Chapter 5 | How Are Good Empirical Research Questions Developed?
  • Chapter 6 | What Are the Various Types of Survey Design?
  • Chapter 7 | How Do We Choose the Right Survey Design?
  • Chapter 8 | What Are the Main Ethical Concerns of Research?
  • Chapter 9 | If Surveys Are Just About Asking People Questions, Why Are Ethical Considerations Important?
  • Chapter 10 | Who Ensures That Research Is Ethical?
  • Chapter 11 | How Do IRBs Monitor Research Ethics?
  • Chapter 12 | What Is the Process of Submitting a Survey Study to the IRB?
  • Chapter 13 | What Is Informed Consent?
  • Chapter 14 | What Are Confidentiality and Anonymity, and How Are They Maintained?
  • Chapter 15 | What Are the Ethical Concerns for Collecting and Analyzing Data?
  • Chapter 16 | Who Is Asked to Take the Survey?
  • Chapter 17 | What Is a Sample, and What Is Sampling?
  • Chapter 18 | What Is a Sampling Frame?
  • Chapter 19 | How Do We Know if the Sample Size Is Large Enough?
  • Chapter 20 | How Does Probability Work?
  • Chapter 21 | What Is Sampling Theory?
  • Chapter 22 | What Is the Central Limit Theorem?
  • Chapter 23 | What Is Random Sampling Error?
  • Chapter 24 | What Are the Types of Probability Samples?
  • Chapter 25 | How Is a Simple Random Sample Collected?
  • Chapter 26 | What Is Stratified Random Sampling?
  • Chapter 27 | How Is a Proportionate Stratified Probability Sample Collected?
  • Chapter 28 | How Is a Disproportionate Stratified Probability Sample Collected?
  • Chapter 29 | How Do We Make Disproportionate Stratified Samples Representative of the Population?
  • Chapter 39 | How Is a Cluster Sample Collected?
  • Chapter 31 | How Do We Select a Sample if the Population Is Not Easy to Find?
  • Chapter 32 | What Is a Response Rate?
  • Chapter 33 | What Is Involved in Writing Good Survey Questions?
  • Chapter 34 | How Do We Connect a Theoretical Concept to a Survey Question?
  • Chapter 35 | How Do We Write Survey Questions for Complex Theoretical Concepts?
  • Chapter 36 | Do We Need to Create New Questions, or Can We Use Existing Questions?
  • Chapter 37 | What Are the Basic Rules to Writing Good Survey Questions?
  • Chapter 38 | Are There More Advanced Rules to Writing Survey Questions?
  • Chapter 39 | What Are the Best Response Options to Use With Survey Questions?
  • Chapter 40 | What Is the Measurement Level of a Survey Question, and Why Is That Important?
  • Chapter 41 | When Are Open-Ended Questions Used in Survey Research?
  • Chapter 42 | How Do We Order the Survey Questions?
  • Chapter 43 | How Do We Ensure Our Survey Questions Measure What They Are Supposed To?
  • Chapter 44 | How Is Content Validity Established?
  • Chapter 45 | What Is Criterion Validity?
  • Chapter 46 | What Is Construct Validity?
  • Chapter 47 | What Is Measurement Reliability, and How Is It Established?
  • Chapter 48 | What Is Measurement Error?
  • Chapter 49 | How Can Measurement Error Be Minimized?
  • Chapter 50 | How Can Pretesting and Pilot Testing Improve Reliability and Validity?
  • Chapter 51 | Once the Survey Is Designed, How Is the Survey Conducted?
  • Chapter 52 | How Often Can We Contact the Sample to Get Them to Participate?
  • Chapter 53 | How Are the Potential Members of the Sample Contacted?
  • Chapter 54 | How Are the Sample Members Persuaded to Participate?
  • Chapter 55 | What Should Be Included in a Cover Letter?
  • Chapter 56 | What Other Strategies Can Increase Survey Participation?
  • Chapter 57 | How Do We Keep Track of Who Has and Has Not Participated?
  • Chapter 58 | How Do We Conduct a Longitudinal Study?
  • Chapter 59 | What Other Survey Administration Issues May Arise?
  • Chapter 60 | How Do We Take Care of Survey Participants?
  • Chapter 61 | Do We Need to Plan Ahead for Data Entry, Cleaning, and Analysis?
  • Chapter 62 | My Data Is Collected. Now What Do I Do?
  • Chapter 63 | How Do We Do Data Entry?
  • Chapter 64 | What Issues Might Arise With Data Entry?
  • Chapter 65 | What Types of Survey Questions Are Difficult to Enter Into the Database?
  • Chapter 66 | What Is a Codebook, and Why Is It Important?
  • Chapter 67 | What Other Sorts of Documentation Are Needed, and Why?
  • Chapter 68 | What Is Data Cleaning?
  • Chapter 69 | How Are “Other Specify” Responses Coded?
  • Chapter 70 | How Are Open-Ended Questions Coded?
  • Chapter 71 | What Are the Goals of Data Analysis?
  • Chapter 72 | What Are Variables?
  • Chapter 73 | What Are Descriptive Statistics?
  • Chapter 74 | How Do We Estimate Central Tendency and Variation in Categorical and Ordinal Variables?
  • Chapter 75 | How Do We Examine Central Tendency in Continuous Variables?
  • Chapter 76 | How Do We Examine Variation in Continuous Variables When Using the Median?
  • Chapter 77 | How Do We Examine Variation in Continuous Variables When Using the Mean?
  • Chapter 78 | What Are Inferential Statistics?
  • Chapter 79 | How Do We Infer the Population Parameter?
  • Chapter 80 | What Is Significance Testing?
  • Chapter 81 | What Is Meant by Association Between Variables?
  • Chapter 82 | How Do We Assess an Association Between Two Continuous Variables?
  • Chapter 83 | How Do We Determine if a Correlation Between Two Continuous Variables Is Statistically Significant?
  • Chapter 84 | How Do We Assess Association Between a Categorical and a Continuous Variable?
  • Chapter 85 | How Do We Assess Association Between Two Categorical Variables?
  • Chapter 86 | How Do We Display and Report These Bivariate Statistics?
  • Chapter 87 | What Is Linear Regression, and What Are Its Benefits?
  • Chapter 88 | What Is OLS Regression With a Continuous Independent Variable?
  • Chapter 89 | How Do We Know if the Regression Coefficients Are Statistically Significant?
  • Chapter 90 | How Do We Interpret OLS Regression With a Categorical Independent Variable?
  • Chapter 91 | How Do We Interpret Linear Regression With More Than One Predictor Variable?
  • Chapter 92 | How Do We Display and Report These Regression Statistics?
  • Chapter 93 | Who Is My Audience, and Why Does It Matter?
  • Chapter 94 | What Is a Good Report Outline?
  • Chapter 95 | How Much of the Methodology Needs to Be Included in the Report?
  • Chapter 96 | What Are the Most Important Parts of the Analyses to Include in the Report?
  • Chapter 97 | How Do We Report on the Sample of Respondents?
  • Chapter 98 | How Many Charts and Tables Should We Include in the Report?
  • Chapter 99 | How Do We Describe Charts and Tables in the Report?
  • Chapter 100 | What Is an Executive Summary, and Why Is It Important?

Back Matter

  • References and Resources

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