Psychology Statistics For Dummies - Donncha Hanna
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Présentation Psychology Statistics For Dummies de Donncha Hanna Format Broché
- Livre Science humaines et sociales, Lettres
Résumé : Introduction 1 Part 1: Describing Data 1 Chapter 1: Statistics? I Thought This Was Psychology! 7 Chapter 2: Dealing with Different Types of Data. 15 Chapter 3: Inputting Data and Labels in SPSS 23 Chapter 4: Measures of Central Tendency 39 Chapter 5: Measures of Dispersion 51 Chapter 6: Generating Graphs and Charts 65 Part 2: Understanding Statistical Significance 77 Chapter 7: Understanding Probability and Inference 79 Chapter 8: Testing Hypotheses 87 Chapter 9: What's Normal about the Normal Distribution? 97 Chapter 10: Standardized Scores 111 Chapter 11: Effect Sizes and Power 119 Part 3: Analyzing Relationships between Variables 137 Chapter 12: Correlations 139 Chapter 13: Linear Regression 157 Chapter 14: Associations between Discrete Variables 187 Part 4: Analyzing Independent Groups Research Designs 203 Chapter 15: Independent t-Tests and Mann-Whitney Tests 205 Chapter 16: Between-Groups ANOVA 221 Chapter 17: Post-Hoc Tests and Planned Comparisons for Independent Groups Designs 243 Part 5: Analyzing Repeated Measures Research Designs 257 Chapter 18: Paired t-Tests and Wilcoxon Tests 259 Chapter 19: Within-Groups ANOVA 275 Chapter 20: Post-Hoc Tests and Planned Comparisons for Repeated Measures Designs 301 Part 6: The Part of Tens 317 Chapter 21: Ten Tips for Inferential Testing 319 Chapter 22: Ten Tips for Writing a Results Section 323 Index 327
Biographie: Donncha Hanna, PhD, is Professor of Mental Health and Psychopathology at Queen's University, Belfast. He is a co-author of Research Methods in Psychology For Dummies. Martin Dempster, PhD, is a health psychologist and statistician at Queen's University, Belfast. He's a co-author of Research Methods in Psychology For Dummies....
Sommaire: Untangle statistics and make correct, dependable conclusions Psychology Statistics For Dummies, 2nd Edition makes statistics accessible to psychology students, covering all the content in a typical undergraduate psychology statistics class. Built on a foundation of jargon-free explanations and real-life examples, this book focuses on information and techniques that psychology students need to know (and nothing more). You'll learn to use the popular SPSS statistics software to calculate statistics and look for patterns in psychological data. And, this helpful guide offers a brief introduction to using the R programming language for statistical analysis-an increasingly important skill for the digital age. You'll also find hands-on practice exercises and examples using recent, real datasets. This guide is perfect to use as a readable supplement to psychology textbooks and overall coursework. Students in other social and behavioral sciences can also benefit from this stellar primer on statistics....
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