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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 ApproachDon’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 FilesOutput FilesSummaryPractice ExercisesNotes CHAPTER 3 Finding SumsSetting Up the DataRunning the AnalysisReading the OutputFinding S X2, S Y2, and other Complex SummationsFind the Sums and Interpret the OutputMore Compute OperatorsSummaryPractice Exercises CHAPTER 4 Frequency Distributions and ChartsSetting Up the DataObtaining Frequency TablesObtaining Frequency ChartsObtaining Charts of MeansSummaryPractice Exercises CHAPTER 5 Describing DistributionsSetting Up the DataMeasures of Central Tendency: Mean, Median, and ModeMeasures of Variability: Range, Variance, and Standard DeviationMeasures of Normality: Skewness and KurtosisSummaryPractice Exercises CHAPTER 6 Compute Statements: Reversing Scores, Combining Scores, and Creating Z-ScoresSetting Up the DataReverse Scoring VariablesGenerating Multi-Item Scale ScoresGenerating Z-ScoresSummaryPractice Exercises CHAPTER 7 Comparing Means in SPSS (t-Tests)Setting Up the DataOne-Sample t-testIndependent-Samples t-TestPaired-Samples t-TestSummaryPractice Exercises CHAPTER 8 One-Way ANOVA: Means Comparison with Two or More GroupsSetting Up the DataRunning the AnalysesReading the One-Way ANOVA OutputSummaryPractice Exercises CHAPTER 9 Factorial ANOVASetting Up the DataRunning the AnalysisReading the Output for a Two-Way ANOVASimple Effects TestingSummaryPractice ExercisesReferences CHAPTER 10 Repeated-Measures Analysis of VarianceOne-Way Repeated-Measures ANOVAMixed-Model Repeated-Measures ANOVASummaryPractice Exercises CHAPTER 11 Regression and CorrelationSetting Up the DataCorrelationSimple Linear RegressionObtaining the ScatterplotSummaryPractice Exercises CHAPTER 12 Multiple RegressionSetting Up the DataSimultaneous Entry of Two Predictor VariablesVarying the Order of Entry: Hierarchical Multiple RegressionUsing Automated Strategies for Selecting Predictor VariablesSummaryPractice Exercises CHAPTER 13 Chi-SquareSetting Up the DataThe Goodness-of-Fit Chi SquarePearson’s Chi-SquareSummaryPractice ExercisesReferences CHAPTER 14 ReliabilitySetting Up the DataTest-Retest and Parallel Forms ReliabilitySplit-half ReliabilityCronbach’s AlphaConcluding Comments on GSR ScaleSummaryPractice Exercise CHAPTER 15 Factor AnalysisSetting Up the DataGoals of Factor AnalysisRunning a Factor Analysis in SPSSReading the SPSS Output for Factor AnalysisSummaryPractice Exercises