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Statistical Concepts – A Second Course (Paperback, 2 ed)

1. One-Factor Analysis of Variance ? Fixed-Effects Model? 2. Multiple Comparison Procedures? 3. Factorial Analysis of Variance ? Fixed-Effects Model? 4. Random- and Mixed-Effects Analysis of Variance Models? 5. Hierarchical and Randomized Block Analysis of Variance Models? 6. Simple Linear Regression? 7. Multiple Linear Regression? 8. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model with a Single Covariate? 9. Logistic Regression? 10. Mediation and Moderation

Statistical Concepts – A First Course (Hardcover, 2 ed)

1. Introduction??2. Data Visualization??3. Univariate Population Parameters and Sample Statistics??4. The Normal Distribution and Standard Scores??5. Introduction to Probability and Sample Statistics??6. Introduction to Hypothesis Testing: Inferences About a Single Mean??7. Inferences About the Difference Between Two Independent Means??8. Inferences About the Difference Between Two Dependent Means??9. Inferences About Proportions??10. Inferences About Variances??11. Bivariate Measures of Association

Statistical Concepts – A First Course (Paperback, 2 ed)

1. Introduction??2. Data Visualization??3. Univariate Population Parameters and Sample Statistics??4. The Normal Distribution and Standard Scores??5. Introduction to Probability and Sample Statistics??6. Introduction to Hypothesis Testing: Inferences About a Single Mean??7. Inferences About the Difference Between Two Independent Means??8. Inferences About the Difference Between Two Dependent Means??9. Inferences About Proportions??10. Inferences About Variances??11. Bivariate Measures of Association

A Guide to Doing Statistics in Second Language Research Using SPSS, JASP, and R (Hardcover, 3 ed)

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A Guide to Doing Statistics in Second Language Research Using SPSS, JASP, and R (Paperback, 3 ed)

Part I: Statistical Ideas? 1. Getting Started with the Software? 2. Some Preliminaries to Understanding Statistics? 3. Describing Data Numerically and Graphically and Assessing Assumptions for Parametric Tests? 4.?The "Old" Statistics: Fundamentals of Null-Hypothesis Significance Testing? 5. The "New" Statistics: Confidence Intervals, Effect Sizes, and precision for Sample Size Determination?6. Using AI Tools to Learn About Statistics??Part II: Statistical Tests? ?7.?Finding Relationships Using Correlation: Age of Learning? 8. Looking for Groups of Explanatory Variables through Multiple Regression: Predicting Important Factors in First-Grade Reading? 9. Looking for Differences between Two Means with T-Tests: Think-Aloud Methodology and Teaching Sarcasm? 10. Looking for Group Differences with a One-Way Analysis of Variance: Effects of Planning Time on Essay Writing??11. Looking for Group Differences with Factorial Analysis of Variance When There is More than One Independent Variable: Learning with Music and Pictures??12. Looking for Group Differences when the Same People Are Tested More than Once: Repeated-Measures Analysis of Variance with Wug Tests and Instruction on French Gender? 13. Accoutning for Differences between People and Items with Linear Mixed-Effects Models

An Introduction to Statistical Concepts (Hardcover, 5 ed)

1. Introduction? 2. Data Visualization??3. Univariate Population Parameters and Sample Statistics??4. The Normal Distribution and Standard Scores??5. Introduction to Probability and Sample Statistics? 6. Introduction to Hypothesis Testing: Inferences About a Single Mean??7. Inferences About the Difference Between Two Independent Means? 8. Inferences About the Difference Between Two Dependent Means??9. Inferences About Proportions? 10. Inferences About Variances? 11. Bivariate Measures of Association??12. One-Factor Analysis of Variance ? Fixed-Effects Model??13. Multiple Comparison Procedures??14. Factorial Analysis of Variance ? Fixed-Effects Model??15. Random- and Mixed-Effects Analysis of Variance Models??16. Hierarchical and Randomized Block Analysis of Variance Models??17. Simple Linear Regression??18. Multiple Linear Regression??19. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model with a Single Covariate??20. Logistic Regression??21. Mediation and Moderation

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How to Use SPSS® : A Step-By-Step Guide to Analysis and Interpretation (Hardcover, 13 ed)

Preface to the Thirteenth Edition. 1. Getting Started. 2. Entering and Modifying Data. 3. Descriptive Statistics. 4. Graphing Data. 5. Prediction and Association. 6. Basic Parametric Inferential Statistics and t Tests. 7. ANOVA Models. 8. Nonparametric Inferential Statistics. 9. Test Construction. Appendix A. Effect Size. Appendix B. Practice Exercise Datasets. Appendix C. Sample Data Files Used in Text. Appendix D. SPSS Syntax Basics. Appendix E. Glossary. Appendix F. Selecting the Appropriate Inferential Test. Appendix G. Answer Key

How to Use SPSS® : A Step-By-Step Guide to Analysis and Interpretation (Paperback, 13 ed)

Preface to the Thirteenth Edition. 1. Getting Started. 2. Entering and Modifying Data. 3. Descriptive Statistics. 4. Graphing Data. 5. Prediction and Association. 6. Basic Parametric Inferential Statistics and t Tests. 7. ANOVA Models. 8. Nonparametric Inferential Statistics. 9. Test Construction. Appendix A. Effect Size. Appendix B. Practice Exercise Datasets. Appendix C. Sample Data Files Used in Text. Appendix D. SPSS Syntax Basics. Appendix E. Glossary. Appendix F. Selecting the Appropriate Inferential Test. Appendix G. Answer Key

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