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Psychology Statistics for Dummies
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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
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Table of Contents

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

About the Author

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.

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