Student Practice Workbook with IBM (R) SPSS (R) for Research Methods, Statistics, and Applications 4/e

Kathrynn (Kathy) A. Adams earned her PhD in general experimental psychology from the University of Alabama in 1977. She was a Charles A. Dana Professor of Psychology at Guilford College when she retired in 2017 after 37 years of teaching. Her professional interests include gender issues, relationships, and teaching pedagogy. She worked with the Preparing Future Faculty Program for 20 years and helped establish the Early College at Guilford, a nationally ranked high school. In her spare time, she spends as much time as possible outdoors, practices yoga, and bakes chocolate desserts. Eva K. McGuire earned her PhD in clinical psychology from Virginia Commonwealth University in 2002. She is a Charles A. Dana Professor of Psychology at Guilford College, where she has taught since 2003. Her research interests include environmental psychology and computer-mediated communication. Eva enjoys walking, yoga, and bike riding, and she loves to listen to live music.

Preface Publisher's Acknowledgments About the Authors Chapter 1: Thinking Like a Researcher Chapter Summary Chapter 1 Exercises Your Research Chapter 2: Build a Solid Foundation for Your Study Based on Past Research Chapter Summary Chapter 2 Exercises Chapter 3: Select Your Tools: How to Measure Your Variables Chapter Summary Chapter 3 Exercises Chapter 4: The Cornerstones of Good Research: Reliability and Validity Chapter Summary Chapter 4 Exercises Chapter 5: Basics of Research Design: Description and Sampling Chapter Summary Chapter 5 Exercises Chapter 6: Describing Your Sample Chapter Summary Chapter 6 Exercises Chapter 7: Beyond Descriptives: Making Inferences Based on Your Sample Chapter Summary Chapter 7 Exercises Chapter 8: Comparing Your Sample to a Known or Expected Score Chapter Summary Chapter 8 Exercises Chapter 9: Examining Relationships Among Your Variables: Correlational Design Chapter Summary Chapter 9 Exercises Chapter 10: Examining Causality Chapter Summary Chapter 10 Exercises Chapter 11: Independent-Groups Designs Chapter Summary Chapter 11 Exercises Chapter 12: Dependent-Groups Designs Chapter Summary Chapter 12 Exercises Chapter 13: Factorial Designs Chapter Summary Chapter 13 Exercises Chapter 14: Nonparametric Statistics Chapter Summary Chapter 14 Exercises Chapter 15: Focusing on the Individual: Case Studies and Single N Designs Chapter Summary Chapter 15 Exercises Chapter 16: How to Decide? Choosing a Research Design and Selecting the Correct Analysis Chapter Summary Chapter 16 Exercises IBM (R) SPSS (R) Part 1: Fundamentals of Data Analysis Before You Begin Data Entry Create Scale Scores Managing Data Part 1 Practice Exercises IBM (R) SPSS (R) Part 2: Analyses to Examine One Variable at a Time Descriptive Statistics Confidence Intervals One-Sample t Test Chi-Square Goodness of Fit IBM (R) SPSS (R) Part 3: Analyses to Examine Relationships (No Groups) Pearson's r and Spearman's Rho Linear Regression Part 3 Practice Exercises IBM (R) SPSS (R) Part 4: Analyses to Compare Independent Groups Parametric vs. Nonparametric Statistics Independent-Samples t Test One-Way Between-Subjects ANOVA Two-Way Between-Subjects ANOVA (or Three-way, etc.) Nonparametric Statistics IBM (R) SPSS (R) Part 5: Analyses for Dependent Groups and Mixed Designs Parametric vs. Nonparametric Statistics Dependent-Samples t Test One-Way Within-Subjects ANOVA Two-Way Within-Subjects ANOVA and Mixed ANOVA Nonparametric Statistics IBM (R) SPSS (R) Part 6: Quick Guides Analyses to Examine One Variable at a Time Analyses to Examine Relationships (No Groups) Analyses to Compare Independent Groups: Parametric Analyses to Compare Independent Groups: Nonparametric Analyses for Dependent Groups and Mixed Designs: Parametric Analyses for Dependent Groups and Mixed Designs: Nonparametric