Description
Book SynopsisAn EasyGuide to Research Design and SPSS® is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS®, along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power.
Table of ContentsPreface About the Authors SECTION I. OVERVIEW OF BASIC DESIGN DECISIONS 1. The Marriage of Stats and Methods: ’til Death Do They Part We Want to Help Basic Steps of Research Summary 2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does Matter Nominal Data Ordinal Data Interval Data Ratio Data Summary 3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate Matters How Many Variables Should I Include? How Many Participants Should I Include? How Many Independent Variables Should I Include? Including More Than One Independent Variable Choosing the Number of Levels of Each Variable Choosing Your Dependent Variables Avoiding the Unmeasurable Dependent Variables How Many Dependent Variables to Include Summary SECTION II. YOUR BASIC SPSS TOOLBOX 4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes 5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My! The Structure of SPSS When to Create Your Data File: Yes, Even Before Data Collection Setting Up Your Data File Importing Data Naming and Labeling Your Variables How to Keep Track and Remember the Details of Your Data File Creating New Variables in Your Data File: Transformations Calculating a Total or Mean Score Recording Variables Conducting Analyses With Only Part of Your Collected Data: Split File and Select Cases Summary 6. Descriptive Statistics: Tell Me About It Describing Nominal Data Describing Ordinal Data Describing Interval or Ratio Data Describing Data With Two Samples Summary SECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE 7. Between-Groups Designs: Celebrate Your Independence! One IV, Two Levels Between Groups With Two Levels of an IV Independent-Samples t-Test With a Quasi-IV Between Groups With More Than Two Levels of an IV Between Groups With More Than One IV Summary 8. Repeated-Measures Designs: Everybody Plays! One Independent Variable With Two Levels Expanding the Number of Levels for Your Independent Variable Adding Another Factor: Within-Subjects Factorial Designs Summary 9. Advanced Research Designs: Complicating Matters Mixed Designs: One Between Variable and One Repeated-Measures Variable A Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your Design ANCOVA Summary 10. Correlational Analysis: How Do I Know If That Relationship Is Real? Correlational Analysis: Two Variables Prediction With Two Variables: Simple Linear Regression Prediction With Several Variables: Multiple Linear Regression Summary 11. Chi Square: Staying on the Same Frequency What Do You Expect? One-Way Chi Square With More Than Two Levels Two-Way Chi Square Summary 12. How Many Participants Do You Need? More Power to You! Finding Power in SPSS’s General Linear Model Using G*Power to Find Power Planning Sample Sizes for Your Future Research Summary SECTION IV. A SUMMARY 13. Mapping Your Decisions: You Can Get There From Here Making Basic Decisions About Your Design Data With Distinct Groups Interval or Ratio Data With Many Levels Summary 14. APA Results Sections t-Test for Independent Samples (True IV) t-Test for Independent Samples (Pseudo-IV) One-Way ANOVA for Independent Groups (True IV) t-Test for Correlated Samples One-Way ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Mixed Groups Factorial ANOVA for Independent Groups Analysis of Covariance Pearson’s r Correlation Pearson’s r Correlation and Simple Regression One-Way c2 Two-Way c2 15. Frequently Asked Questions: Did I Do That? Questions About Research Design Questions About Analyzing Your Data Questions About Interpreting Your Data and Presenting Your Results Summary Glossary Index References
