How to Use SPSS®: A Step-By-Step Guide to Analysis and Interpretation, 9th Edition (Paperback) book cover

How to Use SPSS®

A Step-By-Step Guide to Analysis and Interpretation, 9th Edition

By Brian C. Cronk

© 2017 – Routledge

168 pages

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pub: 2017-02-23
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About the Book

• Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data.

• All major statistical techniques covered in beginning statistics classes are included:

· descriptive statistics

· graphing data

· prediction and association

· parametric inferential statistics

· nonparametric inferential statistics

· statistics for test construction

• Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics.

• Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test.

• More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS.

• A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms.

• Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program.

• Thoroughly field-tested; your students are certain to appreciate this book.

Table of Contents

Chapter 1: Getting Started

1.1 — Starting SPSS

1.2 — Entering Data

1.3 — Defining Variables

1.4 — Loading and Saving Data Files

1.5 — Running Your First Analysis

1.6 — Examining and Printing Output Files

1.7 — Modifying Data Files

Chapter 2: Entering and Modifying Data

2.1 — Variables and Data Representation

2.2 — Selection and Transformation of Data

Chapter 3: Descriptive Statistics

3.1 — Frequency Distributions and Percentile Ranks for a Single Variable

3.2 — Frequency Distributions and Percentile Ranks for Multiple Variables

3.3 — Measures of Central Tendency and Measures of Dispersion for a Single Group

3.4 — Measures of Central Tendency and Measures of Dispersion for Multiple Groups

3.5 — Standard Scores

Chapter 4: Graphing Data

4.1 — Graphing Basics

4.2 — Bar Charts, Pie Charts, and Histograms

4.3 — The SPSS Chart Builder

4.4 — Scatterplots

4.5 — Advanced Bar Charts

4.6 — Editing SPSS Graphs

Chapter 5: Prediction and Association

5.1 — Pearson Correlation Coefficient

5.2 — Spearman Correlation Coefficient

5.3 — Simple Linear Regression

5.4 — Multiple Linear Regression

Chapter 6: Parametric Inferential Statistics

6.1 — Review of Basic Hypothesis Testing

6.2 — Single-Sample t Test

6.3 — Independent-Samples t Test

6.4 — Paired-Samples t Test

6.5 — One-Way ANOVA

6.6 — Factorial ANOVA

6.7 — Repeated-Measures ANOVA

6.8 — Mixed-Design ANOVA

6.9 — Analysis of Covariance

6.10 — Multivariate Analysis of Variance (MANOVA)

Chapter 7: Nonparametric Inferential Statistics

7.1 — Chi-Square Goodness of Fit

7.2 — Chi-Square Test of Independence

7.3 — Mann-Whitney U Test

7.4 — Wilcoxon Test

7.5 — Kruskal-Wallis H Test

7.6 — Friedman Test

Chapter 8: Test Construction

8.1 — Item-Total Analysis

8.2 — Cronbach’s Alpha

8.3 — Test-Retest Reliability

8.4 — Criterion-Related Validity

Appendix A: Effect Size

Appendix B: Practice Exercise Data Sets

Appendix C: Sample Data Files Used in Text

Appendix D: Selecting the Appropriate Inferential Test

Appendix E: Glossary

Subject Categories

BISAC Subject Codes/Headings:
PSYCHOLOGY / Research & Methodology


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