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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 research—linear regression analysis, analysis of variance and covariance, and path analysis—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


 
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