A conceptual guide to statistics using SPSS / Elliot T. Berkman & Steven P. Reise.

Format:

Book

Author/Creator:

Berkman, Elliot T., author.

Reise, Steven Paul, author.

Language:

English

Subjects (All):

SPSS for Windows.

Statistics--Computer programs.

Statistics.

Social sciences--Statistical methods--Computer programs.

Social sciences.

Physical Description:

1 online resource : illustrations

Place of Publication:

London : SAGE, 2016.

Language Note:

English

Summary:

Walking the reader through the steps of statistical tests and providing data sets and screen shots from SPSS, this student-friendly book helps students to successfully use statistical tests in SPSS, interpret the results and also to understand statistical concepts.

Contents:

Intro; Dedication; Title; Copyright; Contents; Preface; About the Authors; 1. Introduction; 2. Descriptive Statistics; 3. The Chi-Squared Test for Contingency Tables; 4. Correlation; 5. One- and Two-Sample t-Tests; 6. One-Way ANOVA; 7. Two- and Higher-Way ANOVA; 8. Within-Subject ANOVA; 9. Mixed-Model ANOVA; 10. Multivariate ANOVA; 11. Linear Regression; 12. Analysis of Covariance; 13. Factor and Components Analysis; 14. Psychometrics; 15. Nonparametric Tests; 16. Matrix Algebra; Appendix: General Formulation of Custom Contrasts Using LMATRIX; Subject Index; Syntax Index

Goal of This Book: Conceptual UnderstandingFeatures That Will Help You in This Book; A Note on Data Files; Introduction to Descriptive Statistics; Computing Descriptive Statistics in SPSS; Interpreting the Output; A Closer Look: Eyeballing a Hypothesis Test; A Closer Look: Assessing for Normality; Introduction to the Chi-Squared Test; Computing the Chi-Squared Test in SPSS; A Closer Look: Fisher's Exact Test; The Chi-Squared Test for Testing the Distribution of One Categorical Variable; Behind the Scenes: Conceptual Background of Correlation; Covariance Versus Correlation

Computing Correlation (and Covariance) in SPSSInterpreting the Correlation Output; A Closer Look: Partial Correlations; Visualizing Correlations; Conceptual Background of the t-Test; Behind the Scenes: The t-Ratio; Computing the One-Sample t-Test Using SPSS; Computing the Paired-Samples t-Test Using SPSS; Computing the Independent-Samples t-Test Using SPSS; Connections: A Comparison of the Independent- and Paired-Samples t-Tests; Visualizing the Results From the t-Test; A Closer Look: Testing the Assumptions Underlying the t-Test

Behind the Scenes: Conceptual Background of the Analysis of Variance (ANOVA)Computing the One-Way ANOVA Using SPSS; Interpreting the ANOVA Output; A Closer Look: Custom Contrasts in One-Way ANOVA; Making the Most of Syntax: Custom Contrasts Using Syntax; Connections: On the Equivalence of One-Way ANOVA and t-Tests; Plotting the Results of the One-Way ANOVA; A Closer Look: Testing Assumptions in One-Way ANOVA; Conceptual Background of the Higher-Order ANOVA; Behind the Scenes: Modeling Two- and Higher-Way ANOVA With the GLM; Computing the Two-Way ANOVA Using SPSS; Interpreting the ANOVA Output

Making the Most of Syntax: Custom Contrasts in Two-Way ANOVAA Closer Look: Multiple-Line Contrasts; Connections: Equivalence Between Main Effects Tests and Custom Contrasts; Plotting the Results of the Two-Way ANOVA; Conceptual Background of the Within-Subjects ANOVA; Behind the Scenes: Modeling the Within-Subjects ANOVA; Computing the Within-Subjects ANOVA Using SPSS; Interpreting the ANOVA Output; Plotting the Results of Within-Subjects ANOVA; Making the Most of Syntax: Custom Contrasts in Within-Subjects ANOVA

Connections: Equivalence Between Within-Subjects ANOVA and Paired-Samples t-Tests

Notes:

Includes index.

Includes bibliographical references and index.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

9781483342122

1483342123

9781506335254

150633525X

9781483341484

1483341488

OCLC:

986744256