SPSS: A User Friendly Approach

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. "

Table of Contents:
PART I: 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 PART II: BASIC OPERATIONS Three Windows Data Editor Syntax Files Output Files Summary Practice Exercises Notes PART III: 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 PART IV: FREQUENCY DISTRIBUTIONS AND CHARTS Setting Up the Data Obtaining Frequency Tables Obtaining Frequency Charts Obtaining Charts of Means Summary Practice Exercises PART V: 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 PART VI: COMPUTE STATEMENTS: RESERVING 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 PART VII: 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 PART VIII: 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 PART IX: FACTORIAL ANOVA Setting Up the Data Running the Analysis Reading the Output for a Two-Way ANOVA Simple Effects Testing Summary Practice Exercises References PART XI: REPEATED-MEASURES ANALYSIS OF VARIANCE One-Way Repeated-Measures ANOVA Mixed-Model Repeated-Measures ANOVA Summary Practice Exercises PART XII: REGRESSION AND CORRELATION Setting Up the Data Correlation Simple Linear Regression Obtaining the Scatterplot Summary Practice Exercises PART XIII: MULTIPLE RESGRESSION 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 PART XIV: CHI-SQUARE Setting Up the Data The Goodness-of-Fit Chi Square Pearson's Chi-Square Summary Practice Exercises References PART XV: 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 PART XVI: 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

About the Author :
JEFFERY ASPELMEIER, Radford University, USA. THOMAS PIERCE, Radford University, USA.