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More About This Title Psychology Statistics For Dummies
English
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
English
Donncha Hanna, PhD is a psychology lecturer at Queen's University Belfast whose primary teaching responsibilities include statistics and research methods. Martin Dempster, PhD is a health psychologist and the research coordinator for the Doctorate in Clinical Psychology programme at Queen's University Belfast.
English
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
