# Psychology Statistics For Dummies

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# Psychology Statistics For Dummies

ISBN: 978-1-119-95287-9 January 2013 462 Pages

## Description

The introduction to statistics that psychology students can't afford to be without

Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis.

Psychology Statistics For Dummies:

• Serves as an easily accessible supplement to doorstop-sized psychology textbooks
• Provides psychology students with psychology-specific statistics instruction
• Includes clear explanations and instruction on performing statistical analysis
• Teaches students how to analyze their data with SPSS, the most widely used statistical packages among students
Introduction 1

Part I: Describing Data 7

Chapter 1: Statistics? I Thought This Was Psychology! 9

Chapter 2: What Type of Data Are We Dealing With? 19

Chapter 3: Inputting Data, Labelling and Coding in SPSS 27

Chapter 4: Measures of Central Tendency 53

Chapter 5: Measures of Dispersion 73

Chapter 6: Generating Graphs and Charts 91

Part II: Statistical Significance 111

Chapter 7: Understanding Probability and Inference 113

Chapter 8: Testing Hypotheses 123

Chapter 9: What’s Normal about the Normal Distribution? 139

Chapter 10: Standardised Scores 155

Chapter 11: Effect Sizes and Power 165

Part III: Relationships between Variables 183

Chapter 12: Correlations 185

Chapter 13: Linear Regression 211

Chapter 14: Associations Between Discrete Variables 243

Part IV: Analysing Independent Groups Research Designs  265

Chapter 15: Independent t-tests and Mann-Whitney Tests 267

Chapter 16: Between-Groups ANOVA 285

Chapter 17: Post Hoc Tests and Planned Comparisons for Independent Groups Designs 313

Part V: Analysing Repeated Measures Research Designs 327

Chapter 18: Paired t-tests and Wilcoxon Tests 329

Chapter 19: Within-Groups ANOVA 347

Chapter 20: Post Hoc Tests and Planned Comparisons for Repeated Measures Designs 379

Chapter 21: Mixed ANOVA 395

Part VI: The Part of Tens 415

Chapter 22: Ten Pieces of Good Advice For Inferential Testing 417

Chapter 23: Ten Tips for Writing Your Results Section 421

Index 425