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.
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Preface Publisher's Acknowledgments About the Authors Chapter 1 * Thinking Like a Researcher Learning Objectives Chapter Summary Chapter 1 Quiz Chapter 1 Exercises Your Research CHAPTER 2 * Build a Solid Foundation for Your Study Based on Past Research Learning Objectives Chapter Summary Chapter 2 Quiz Chapter 2 Exercises Your Research CHAPTER 3 * Measuring Your Variables Learning Objectives Chapter Summary Chapter 3 Quiz Chapter 3 Exercises Your Research CHAPTER 4 * The Cornerstones of Good Research: Reliability and Validity Learning Objectives Chapter Summary Chapter 4 Quiz Chapter 4 Exercises Your Research CHAPTER 5 * Basics of Research Design: Description and Sampling Learning Objectives Chapter Summary Chapter 5 Quiz Chapter 5 Exercises Your Research CHAPTER 6 * Describing Your Sample Learning Objectives Chapter Summary Chapter 6 Quiz Chapter 6 Exercises Your Research CHAPTER 7 * Beyond Descriptives: Making Inferences Based on Your Sample Learning Objectives Chapter Summary Chapter 7 Quiz Chapter 7 Exercises Your Research CHAPTER 8 * Comparing Your Sample to a Known or Expected Score Learning Objectives Chapter Summary Chapter 8 Quiz Chapter 8 Exercises CHAPTER 9 * Examining Relationships Among Your Variables: Correlational Design Learning Objectives Chapter Summary Chapter 9 Quiz Chapter 9 Exercises Your Research CHAPTER 10 * Examining Causality Learning Objectives Chapter Summary Chapter 10 Quiz Chapter 10 Exercises Your Research CHAPTER 11 * Independent-Groups Designs Learning Objectives Chapter Summary Chapter 11 Quiz Chapter 11 Exercises Your Research CHAPTER 12 * Dependent-Groups Designs Learning Objectives Chapter Summary Chapter 12 Quiz Chapter 12 Exercises Your Research CHAPTER 13 * Factorial Designs Learning Objectives Chapter Summary Chapter 13 Quiz Chapter 13 Exercises Your Research CHAPTER 14 * Nonparametric Statistics Learning Objectives Chapter Summary Chapter 14 Quiz Chapter 14 Exercises Your Research CHAPTER 15 * Focusing on the Individual: Case Studies and Single N Designs Learning Objectives Chapter Summary Chapter 15 Quiz Chapter 15 Exercises Your Research CHAPTER 16 * How to Decide? Choosing a Research Design and Selecting the Correct Analysis Learning Objectives Chapter Summary Chapter 16 Quiz Chapter 16 Exercises Your Research IBM (R) SPSS (R) Workbook Part 1: Fundamentals of Data Analysis Before You Begin Data Entry Create Scale Scores Managing Data Part 1 Practice Exercises IBM (R) SPSS (R) Workbook 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) Workbook 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) Workbook Part 4: Analyses to Compare Independent Groups Independent-Samples t Test One-Way Between-Subjects ANOVA Two-Way Between-Subjects ANOVA (or Three-way, etc.) Nonparametric Statistics IBM (R) SPSS (R) Workbook Part 5: Analyses for Dependent Groups and Mixed Designs Dependent-Samples t Test One-Way Within-Subjects ANOVA Two-Way Within-Subjects ANOVA and Mixed ANOVA Nonparametric Statistics