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.
|Output||Central Tendency Results|
|Output||Chi Square Test results|
|Paired-Samples T-test results|
|Independent-Samples T-test results|
|Pearson r Correlation test results|
|Instructions||Multiple Linear Regression instructions|
|Output||Multiple Linear Regression results_prelim.spv|
|Multiple Linear Regression results.spv|
|Instructions||One-way ANOVA instructions|
|Data set||ONE WAY ANOVA.sav|
|Output||One way ANOVA results.spv|
|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|