# SPSS - User Friendly Approach / Edition 1

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 Approach goes beyond providing instructions on the mechanics of conducting data analysis and develops a student’s

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## Overview

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 Approach goes 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.

## Product Details

ISBN-13:
9781429224185
Publisher:
Worth Publishers
Publication date:
02/18/2009
Edition description:
First Edition
Pages:
231
Product dimensions:
8.11(w) x 9.96(h) x 0.53(d)

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
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
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
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