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SPSS Demystified: A Step-by -Step Guide to Successful Data Analysis
Ronald D. Yockey

ISBN-10: 0132238853
ISBN-13: 9780132238854

Publisher: Prentice Hall
Copyright: 2008
Format: Paper; 288 pp
Published: 10/05/2007

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For courses in Statistics and Research Methods.

Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while SPSS is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of students’ anxiety with statistics (and the fact that this anxiety can affect performance), Ronald Yockey has written SPSS Demystified: A Step-by -Step Guide to Successful Data Analysis, 1/e. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS.

Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS.

Student Friendly, Step-by-Step Approach.

Designed to be hands-on with the user performing the analyses alongside on their computer as they read through each chapter. To help the reader stay on-track as they perform the analyses, a step-by-step approach is used, beginning with creating the variables in SPSS and ending with writing the results in the format of the American Psychological Association.

Screen shots of each step in SPSS are also included, and call-out boxes are used to highlight important information in the results.

Four step process of data analysis. In each chapter, the process of data analysis is divided into four easy—to—follow steps, including:

Step 1: Create the variables — Variables are created, including entering value labels as necessary.
Step 2: Enter the data — The correct structuring of the data file is illustrated.
Step 3: Analyze the data — How to run the correct analysis using the pull—down menus in SPSS is illustrated.
Step 4: Interpret the results — Each table of output is discussed, one table at a time, with sample write—up of the results in APA format provided for chapters 5 — 16.

Screen shots. Several screen shots are included in each chapter, helping the reader stay on—track as they progress through each chapter.
Call–out boxes. Call-out boxes are used to highlight important information and to alert the reader to areas of potential confusion in SPSS (e.g., what to enter in the Test Value box for the one—sample t test).
Research question and null and alternative hypotheses. Research question(s) and the null and alternative hypotheses for each procedure are presented to help better connect the data to the research question and hypotheses of interest (applies to chapters 5—16).
Effect sizes. How to calculate, report, and interpret effect sizes is presented (the reporting of effect sizes is recommended by the APA and is required by several journals for manuscript submission; applies to chapters 5—16).
Assumptions. The assumptions of each inferential procedure are provided, along with the impact of violating the assumption on the accuracy of the procedure, allowing the reader to assess whether their data meet the requirements for a statistical procedure of interest (applies to chapters 5—16).
Exercises are included at the end of each chapter

Broad Coverage.

Designed primarily for students in introductory statistics and research methods courses and for those analyzing data for a research study.

To this end, procedures that are most commonly covered in these courses are presented. Examples include:

t tests
One–way between ANOVA
One–way within ANOVA
Two–way between ANOVA
Chi–square
Correlation
Regression
Chapters on multiple regression, one–between one–within ANOVA, and reliability.

Structured Organization.

Divided into two sections.
Section 1 introduces:

SPSS software program (Chapter 1).
Covers descriptive statistics (Chapter 2).
Discusses how to use SPSS to produce a variety of graphs (Chapter 3).
Concludes with a chapter on estimating the internal consistency reliability of a scale using Coefficient Alpha (Chapter 4).

Section 2 covers inferential statistics, including:

t tests (Chapters 5—7),
Analysis of Variance procedures (Chapters 8—11)
Correlation (Chapter 12)
Simple and Multiple Regression (Chapters 13—14)
Chi—square procedures (Chapters 15—16).

Data transformations and importing Excel files into SPSS are covered in Appendices A and B.

Chapter 1: Introduction

Starting SPSS

Data Editor Window

Variable View Window

Data View Window

Viewer (Output) window

Saving files

Printing files

Chapter Exercises

Chapter 2: Descriptive Statistics

Frequencies

Measures of Central Tendency

Analysis of Groups Using the Compare Means Procedure

Chapter Exercises

Chapter 3: Graphical Procedures

Bar Charts

Histograms

Scatterplots

Boxplots

Chapter Exercises

Chapter 4: Reliability Analysis

Example

Research Question