Psychology Statistics For Dummies

The introduction to statistics that psychology students can't afford to be withoutUnderstanding 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 1Part I: Describing Data 7Chapter 1: Statistics? I Thought This Was Psychology! 9Chapter 2: What Type of Data Are We Dealing With? 19Chapter 3: Inputting Data, Labelling and Coding in SPSS 27Chapter 4: Measures of Central Tendency 53Chapter 5: Measures of Dispersion 73Chapter 6: Generating Graphs and Charts 91Part II: Statistical Significance 111Chapter 7: Understanding Probability and Inference 113Chapter 8: Testing Hypotheses 123Chapter 9: What's Normal about the Normal Distribution? 139Chapter 10: Standardised Scores 155Chapter 11: Effect Sizes and Power 165Part III: Relationships between Variables 183Chapter 12: Correlations 185Chapter 13: Linear Regression 211Chapter 14: Associations Between Discrete Variables 243Part IV: Analysing Independent Groups Research Designs 265Chapter 15: Independent t-tests and Mann-Whitney Tests 267Chapter 16: Between-Groups ANOVA 285Chapter 17: Post Hoc Tests and Planned Comparisons for Independent Groups Designs 313Part V: Analysing Repeated Measures Research Designs 327Chapter 18: Paired t-tests and Wilcoxon Tests 329Chapter 19: Within-Groups ANOVA 347Chapter 20: Post Hoc Tests and Planned Comparisons for Repeated Measures Designs 379Chapter 21: Mixed ANOVA 395Part VI: The Part of Tens 415Chapter 22: Ten Pieces of Good Advice For Inferential Testing 417Chapter 23: Ten Tips for Writing Your Results Section 421Index 425