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The Process of Research and Statistical Analysis in Psychology
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The Process of Research and Statistical Analysis in Psychology

First Edition
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August 2019 | 496 pages | SAGE Publications, Inc

The Process of Research and Statistical Analysis in Psychology presents integrated coverage of psychological research methods and statistical analysis to illustrate how these two crucial processes work together to uncover new information. Best-selling author Dawn M. McBride draws on over 20 years of experience using a practical step-by-step approach in her teaching to guide students through the full process of designing, conducting, and presenting a research study. The text opens with introductory discussions of why psychologists conduct and analyze research before digging into the process of designing an experiment and performing statistical analyses. Each chapter concludes with exercises and activities that promote critical thinking, the smart consumption of research, and practical application. Students will come away with a complete picture of the role that research plays in psychology as well as their everyday lives.

INSTRUCTORS: Bundle The Process of Research and Statistical Analysis in Psychology with the Lab Manual for Research and Statistical Analysis in Psychology for only $5 more! 
 
Preface
 
Acknowledgments
 
About the Author
 
Chapter 1 • Psychological Research: The Whys and Hows of the Scientific Method and Data
Why Should I Care About Research If I Don’t Want to Do Research in My Career?

 
Why Psychologists Conduct Research

 
Populations and Samples

 
Types of Data

 
Frequency Distributions

 
Summary of Frequency Distributions

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 2 • Developing a Research Question and Understanding Research Reports: Where Research Questions Come From
Developing a Research Question

 
How to Conduct a Literature Review

 
What You Find in a Literature Review

 
Using the Literature Review to Make Hypotheses

 
APA-Style Article Writing

 
Oral Presentations

 
Poster Presentations

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 3 • Ethical Guidelines for Psychological Research
Historical Context for Ethical Guidelines

 
Current Ethical Guidelines for Human Participants Research

 
Institutional Review Boards

 
Ethics in Reporting Research

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 4 • Probability and Sampling
Probability Concepts

 
Sampling Techniques

 
Distribution of Sample Means Introduction

 
Recruiting Participants

 
Using the Internet to Sample

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 5 • How Psychologists Use the Scientific Method: Data Collection Techniques and Research Designs
Data Collection Techniques

 
Types of Research Designs

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 6 • Descriptive Statistics
Central Tendency in Distributions

 
Mean

 
Median

 
Mode

 
Which Measure of Central Tendency Should I Use?

 
Variability in Distributions

 
Standard Deviation

 
Descriptive Statistics in Graphs

 
APA Style for Graphs and Tables

 
Chapter Summary

 
Test Yourself

 
 
Chapter 7 • Independent Variables and Validity in Research
Independent Variables

 
Validity and Sources of Bias

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 8 • One-Factor Experiments
Manipulation of Independent Variables

 
Control in Within-Subjects and Between-Subjects Experiments

 
Experiment Examples

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 9 • Hypothesis-Testing Logic
The z Score Transformation

 
The Normal Distribution

 
Using the Normal Distribution to Determine the Probability of a Sample Mean

 
Using the Normal Distribution to Test Hypotheses

 
Logic of Hypothesis Testing

 
Types of Hypothesis-Testing Errors

 
Statistical Significance

 
Chapter Summary

 
Test Yourself

 
 
Chapter 10 • t Tests
The t Distribution

 
One-Sample t Test

 
Conducting a One-Sample t Test Using SPSS

 
One-Sample t Test Assumptions

 
Samples With Related or Paired Data

 
Calculating a Related or Paired Samples t Test

 
Conducting a Related or Paired Samples t Test Using SPSS

 
Paired Samples t Test Assumptions

 
Independent Samples

 
Calculating the Independent Samples t Test

 
Conducting an Independent Samples t Test Using SPSS

 
Independent Samples t Test Assumptions

 
Chapter Summary

 
Test Yourself

 
 
Chapter 11 • One-Way Analysis of Variance
More Than Two Independent Samples

 
Calculating the F Score in an Analysis of Variance

 
Conducting a One-Way Between-Subjects Analysis of Variance Using SPSS

 
Test Assumptions

 
Chapter Summary

 
Test Yourself

 
 
Chapter 12 • Correlation Tests and Simple Linear Regression
Correlation Versus Causation

 
Hypothesis Testing With Pearson r

 
Conducting a Pearson r Test Using SPSS

 
Regression Analyses

 
Nonlinear Relationships

 
Chapter Summary

 
Test Yourself

 
 
Chapter 13 • Chi-Square Tests
Parametric Versus Nonparametric Tests

 
Observed Versus Expected Frequencies

 
Calculating a Chi-Square by Hand

 
Calculating a Chi-Square Test Using SPSS

 
Chapter Summary

 
Test Yourself

 
 
Chapter 14 • Multifactor Experiments
Factorial Designs

 
More About Interactions

 
Experiment Examples

 
Chapter Summary

 
Applying Your Knowledge

 
Test Yourself

 
 
Chapter 15 • Two-Way Analysis of Variance
Factorial Designs

 
Calculating a Two-Way Analysis of Variance

 
Calculating Two-Way Between-Subjects Analysis of Variance Using SPSS

 
Test Assumptions

 
Chapter Summary

 
Test Yourself

 
 
Chapter 16 • One-Way Within-Subjects Analysis of Variance
Within-Subjects Designs

 
Calculating a Within-Subjects Analysis of Variance

 
Calculating One-Way Within-Subjects Analysis of Variance Using SPSS

 
Test Assumptions

 
More Complex Within-Subjects Designs

 
Chapter Summary

 
Test Yourself

 
 
Appendix A: Sample APA-Style Research Report
 
Appendix B: Answers to Stop and Think Questions
 
Appendix C: Unit Normal Table (z Table)
 
Appendix D: t Distribution Table
 
Appendix E: F Distribution Table
 
Appendix F: Pearson r Critical Values Table
 
Appendix G: Chi Square Critical Values Table
 
Glossary
 
References
 
Index

Supplements

Instructor Resource Site

edge.sagepub.com/mcbridermstats

SAGE edge for instructors supports your teaching by making it easy to integrate quality content and create a rich learning environment for students with:

  • a password-protected site for complete and protected access to all text-specific instructor resources;  
  • test banks that provide a diverse range of ready-to-use options that save you time. You can also easily edit any question and/or insert your own personalized questions;
  • editable, chapter-specific PowerPoint® slides that offer complete flexibility for creating a multimedia presentation for your course; and
  • an instructor’s manual that includes lecture notes which summarize key concepts by chapter, as well as discussion questions and suggested class activities.
Student Resource Site
edge.sagepub.com/mcbridermstats

SAGE edge for students enhances learning, it’s easy to use, and offers:
  • an open-access site that makes it easy for students to maximize their study time, anywhere, anytime;
  • flashcards that strengthen understanding of key terms and concepts;
  • quizzes that allow students to practice and assess how much they’ve learned and where they need to focus their attention; 
  • exclusive access to full-text SAGE journal articles that have been carefully selected to support and expand on the concepts presented in each chapter, encouraging students to think critically; and
  • answers to all of the Test Yourself sections that appear at the end of each chapter.

“This text provides an introduction to the entire research process from the development of the research question to the analysis of data. There is a stepwise, methodical approach to each aspect of research design and analysis, which undergraduate students are likely to find approachable.”

Emily Coyle
Saint Martin’s University

Dawn M. McBride

Dawn M. McBride is a professor of psychology at Illinois State University. Her research interests include automatic forms of memory, false memory, prospective memory, and forgetting. She has taught courses in introductory psychology, statistics, research methods, cognition and learning, human memory, and a graduate course in experimental design. She is a recipient of the Illinois State University Teaching Initiative Award. Her out-of-work interests include spending time with her family, traveling, watching Philadelphia (her place of birth) sports teams, learning new languages (currently, Japanese) and reading British murder mysteries. She... More About Author

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ISBN: 9781544361994
£105.00