Statistics for Research in Psychology A Modern Approach Using Estimation Gurnsey (Test Bank)

Statistics for Research in Psychology A Modern Approach Using Estimation Gurnsey (Test Bank)

Test Bank for Statistics for Research in Psychology A Modern Approach Using Estimation, Rick Gurnsey, ISBN: 9781506305189

Table of Contents

Preface
Acknowledgments
About the Author
PART I • INTRODUCTION TO STATISTICS AND STATISTICAL DISTRIBUTIONS
Chapter 1 • Basic Concepts

Appendix 1.1: Introduction to Excel

Appendix 1.2: Introduction to SPSS

Appendix 1.3: An Introduction to R

Chapter 2 • Distributions of Scores

Appendix 2.1: Grouped Frequency Tables and Histograms in Excel

Appendix 2.2: Grouped Frequency Tables and Histograms in SPSS

Chapter 3 • Properties of Distributions

Appendix 3.1: Basic Statistics in Excel

Appendix 3.2: Basic Statistics in SPSS

Chapter 4 • Normal Distributions

Appendix 4.1: NORM.DIST and Related Functions in Excel

Chapter 5 • Distributions of Statistics

Appendix 5.1: Statistical Distribution Functions in Excel

PART II • ESTIMATION AND SIGNIFICANCE TESTS (ONE SAMPLE)
Chapter 6 • Estimating the Population Mean When the Population Standard Deviation Is Known

Appendix 6.1: Computing Confidence Intervals in Excel

Chapter 7 • Significance Tests

Appendix 7.1: Significance Tests in Excel

Chapter 8 • Decisions, Power, Effect Size, and the Hybrid Model

Chapter 9 • Significance Tests: Problems and Alternatives

Chapter 10 • Estimating the Population Mean When the Standard Deviation Is Unknown

Appendix 10.1: Confidence Intervals and Significance Tests in Excel

Appendix 10.2: Confidence Intervals and Significance Tests in SPSS

Appendix 10.3: Exact Confidence Intervals for d Using MBESS in R

PART III • ESTIMATION AND SIGNIFICANCE TESTS (TWO SAMPLES)
Chapter 11 • Estimating the Difference Between the Means of Independent Populations

Appendix 11.1: Estimation and Significance Tests in Excel

Appendix 11.2: Estimation and Significance Tests in SPSS

Chapter 12 • Estimating the Difference Between the Means of Dependent Populations

Appendix 12.1: Estimation and Significance Tests in Excel

Appendix 12.2: Estimation and Significance Tests in SPSS

Chapter 13 • Introduction to Correlation and Regression

Appendix 13.1: Correlation and Regression in Excel

Chapter 14 • Inferential Statistics for Simple Linear Regression

Appendix 14.1: Inferential Statistics for Regression in Excel

Appendix 14.2: Inferential Statistics for Regression in SPSS

Chapter 15 • Inferential Statistics for Correlation

Appendix 15.1: Correlation Analysis in Excel

Appendix 15.2: Correlation Analysis in SPSS

PART IV • THE GENERAL LINEAR MODEL
Chapter 16 • Introduction to Multiple Regression

Appendix 16.1: Bootstrapped Confidence Intervals for ?R2

Chapter 17 • Applying Multiple Regression

Appendix 17.1: Installing the PROCESS Macro in SPSS

Chapter 18 • Analysis of Variance: One-Factor Between-Subjects

Chapter 19 • Analysis of Variance: One-Factor Within-Subjects

Chapter 20 • Two-Factor ANOVA: Omnibus Effects

Chapter 21 • Contrasts in Two-Factor Designs

Selected Answers to Chapter Exercises
Appendix A
Appendix B
Appendix C
Appendix D
Glossary
References
Index