SPSS: User Friendly Approach

by Aspelmeier, Jeffery; Pierce, Thomas W.

• ISBN13: 9781429224185
• ISBN10: 1429224185
• Edition: 1st
• Format: Paperback
• Copyright: 2009-02-18
• Publisher: Worth Publishers

Summary

In this comprehensive introduction to SPSS version 16, Jeffery Aspelmeier and Thomas Pierce make potentially complicated procedures and concepts easy to understand, easy to complete, and fun to work with. SPSS: A User-Friendly Approachgoes beyond providing instructions on the mechanics of conducting data analysis and develops a student's conceptual and applied understanding of quantitative techniques. Students are taught not only how to complete a procedure within SPSS but also how to ensure that the results of the procedure are statistically meaningful.

Table of Contents

CHAPTER 1 Introduction to SPSS: A User Friendly Approach

Don’t Panic!

How to Use this Book

Data Analysis as a Decision-Making Process

Summary

Practice Exercises

 

CHAPTER 2 Basic Operations

Three Windows

Data Editor

Syntax Files

Output Files

Summary

Practice Exercises

Notes

 

CHAPTER 3 Finding Sums

Setting Up the Data

Running the Analysis

Reading the Output

Finding S X2, S Y2, and other Complex Summations

Find the Sums and Interpret the Output

More Compute Operators

Summary

Practice Exercises

 

CHAPTER 4 Frequency Distributions and Charts

Setting Up the Data

Obtaining Frequency Tables

Obtaining Frequency Charts

Obtaining Charts of Means

Summary

Practice Exercises

 

CHAPTER 5 Describing Distributions

Setting Up the Data

Measures of Central Tendency: Mean, Median, and Mode

Measures of Variability: Range, Variance, and Standard Deviation

Measures of Normality: Skewness and Kurtosis

Summary

Practice Exercises

 

CHAPTER 6 Compute Statements: Reversing Scores, Combining Scores, and Creating Z-Scores

Setting Up the Data

Reverse Scoring Variables

Generating Multi-Item Scale Scores

Generating Z-Scores

Summary

Practice Exercises

 

CHAPTER 7 Comparing Means in SPSS (t-Tests)

Setting Up the Data

One-Sample t-test

Independent-Samples t-Test

Paired-Samples t-Test

Summary

Practice Exercises

 

CHAPTER 8 One-Way ANOVA: Means Comparison with Two or More Groups

Setting Up the Data

Running the Analyses

Reading the One-Way ANOVA Output

Summary

Practice Exercises

 

CHAPTER 9 Factorial ANOVA

Setting Up the Data

Running the Analysis

Reading the Output for a Two-Way ANOVA

Simple Effects Testing

Summary

Practice Exercises

References

 

CHAPTER 10 Repeated-Measures Analysis of Variance

One-Way Repeated-Measures ANOVA

Mixed-Model Repeated-Measures ANOVA

Summary

Practice Exercises

 

CHAPTER 11 Regression and Correlation

Setting Up the Data

Correlation

Simple Linear Regression

Obtaining the Scatterplot

Summary

Practice Exercises

 

CHAPTER 12 Multiple Regression

Setting Up the Data

Simultaneous Entry of Two Predictor Variables

Varying the Order of Entry: Hierarchical Multiple Regression

Using Automated Strategies for Selecting Predictor Variables

Summary

Practice Exercises

 

CHAPTER 13 Chi-Square

Setting Up the Data

The Goodness-of-Fit Chi Square

Pearson’s Chi-Square

Summary

Practice Exercises

References

 

CHAPTER 14 Reliability

Setting Up the Data

Test-Retest and Parallel Forms Reliability

Split-half Reliability

Cronbach’s Alpha

Concluding Comments on GSR Scale

Summary

Practice Exercise

 

CHAPTER 15 Factor Analysis

Setting Up the Data

Goals of Factor Analysis

Running a Factor Analysis in SPSS

Reading the SPSS Output for Factor Analysis

Summary

Practice Exercises