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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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October 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

For instructors

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ISBN: 9781544361994
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