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The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work researchâ€”linear regression analysis, analysis of variance and covariance, and path analysisâ€”with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them.

This companion website offers detailed instructions on multiple linear regression analyses, one-way analysis of variance (ANOVA), and path analysis. Additionally, it also includes data sets and worked examples for univariate and bivariate analysis. Please note that you will need SPSS to work through these data sets and outputs.

Credit for this companion website’s contents goes to doctoral student Christine Ouma and Dr. Karen A. Randolph, both of Florida State University.

 CHAPTER 2 Data set UNIVARIATE Output Central Tendency Results Dispersion Results CHAPTER 4 Data set BIVARIATE Output Chi Square Test results Paired-Samples T-test results Independent-Samples T-test results Pearson r Correlation test results CHAPTER 5 Instructions Multiple Linear Regression instructions Data set REGRESSION_prelim.sav REGRESSION.sav Output Multiple Linear Regression results_prelim.spv Multiple Linear Regression results.spv CHAPTER 6 Instructions One-way ANOVA instructions Data set ONE WAY ANOVA.sav Output One way ANOVA results.spv CHAPTER 7 Instructions Path Analysis instructions Data set PATH ANALYSIS.sav Output Path Analysis Tutorial.AMW Output Path Analysis Results AMOSOUTPUT File Output Path Analysis Output.pdf