Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications

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.

Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 3e gives students opportunities to practice and apply their knowledge. Written by the authors of the main text, this study guide follows the textbook and offers practice quizzes, in-depth exercises, research application questions, and instructions and exercises for SPSS.

PrefacePublisher's AcknowledgmentsAbout the AuthorsChapter 1 ¿ Thinking Like a Researcher Learning Objectives Chapter Summary Chapter 1 Quiz Chapter 1 Exercises Your ResearchCHAPTER 2 ¿ Build a Solid Foundation for Your Study Based on Past Research Learning Objectives Chapter Summary Chapter 2 Quiz Chapter 2 Exercises Your ResearchCHAPTER 3 ¿ Measuring Your Variables Learning Objectives Chapter Summary Chapter 3 Quiz Chapter 3 Exercises Your ResearchCHAPTER 4 ¿ The Cornerstones of Good Research: Reliability and Validity Learning Objectives Chapter Summary Chapter 4 Quiz Chapter 4 Exercises Your ResearchCHAPTER 5 ¿ Basics of Research Design: Description and Sampling Learning Objectives Chapter Summary Chapter 5 Quiz Chapter 5 Exercises Your ResearchCHAPTER 6 ¿ Describing Your Sample Learning Objectives Chapter Summary Chapter 6 Quiz Chapter 6 Exercises Your ResearchCHAPTER 7 ¿ Beyond Descriptives: Making Inferences Based on Your Sample Learning Objectives Chapter Summary Chapter 7 Quiz Chapter 7 Exercises Your ResearchCHAPTER 8 ¿ Comparing Your Sample to a Known or Expected Score Learning Objectives Chapter Summary Chapter 8 Quiz Chapter 8 ExercisesCHAPTER 9 ¿ Examining Relationships Among Your Variables: Correlational Design Learning Objectives Chapter Summary Chapter 9 Quiz Chapter 9 Exercises Your ResearchCHAPTER 10 ¿ Examining Causality Learning Objectives Chapter Summary Chapter 10 Quiz Chapter 10 Exercises Your ResearchCHAPTER 11 ¿ Independent-Groups Designs Learning Objectives Chapter Summary Chapter 11 Quiz Chapter 11 Exercises Your ResearchCHAPTER 12 ¿ Dependent-Groups Designs Learning Objectives Chapter Summary Chapter 12 Quiz Chapter 12 Exercises Your ResearchCHAPTER 13 ¿ Factorial Designs Learning Objectives Chapter Summary Chapter 13 Quiz Chapter 13 Exercises Your ResearchCHAPTER 14 ¿ Nonparametric Statistics Learning Objectives Chapter Summary Chapter 14 Quiz Chapter 14 Exercises Your ResearchCHAPTER 15 ¿ Focusing on the Individual: Case Studies and Single N Designs Learning Objectives Chapter Summary Chapter 15 Quiz Chapter 15 Exercises Your ResearchCHAPTER 16 ¿ How to Decide? Choosing a Research Design and Selecting the Correct Analysis Learning Objectives Chapter Summary Chapter 16 Quiz Chapter 16 Exercises Your ResearchIBM® SPSS® Workbook Part 1: Fundamentals of Data Analysis Before You Begin Data Entry Create Scale Scores Managing Data Part 1 Practice ExercisesIBM® SPSS® Workbook Part 2: Analyses to Examine One Variable at a Time Descriptive Statistics Confidence Intervals One-Sample t Test Chi-Square Goodness of FitIBM® SPSS® Workbook Part 3: Analyses to Examine Relationships (No Groups) Pearson's r and Spearman's Rho Linear Regression Part 3 Practice ExercisesIBM® SPSS® 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 StatisticsIBM® SPSS® 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