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