This practical book shows how both Excel® and SPSS® can be used for analyzing data for human service evaluation. Assuming no prior instruction for statistics, the text utilizes a “learn by doing” approach: readers see the use of statistics demonstrated and then are encouraged to apply their own data to statistical analysis with step–by–step guidance. Decision trees, practice exercises, and quizzes ensure readers will be well prepared to practice data analysis in a wide variety of human services situations.
Chapter 8: Explaining Client Gain: Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis
Explaining Client Gain: Using the Independent t Test, Analysis of Variance, Correlation Coefficients, and Multiple Regression Analysis
Jenny is a human service professional who is measuring client gain for her Parent Training program to find out whether certain client characteristics (variables) reveal what kinds of clients do better in the program. For example, are older parents more likely to gain? To perform this program evaluation, she is gathering data on gain in knowledge of good parenting, as measured by a parenting scale, as well as such variables as gender, race, age, and family income.
The previous chapters focused on how to evaluate client outcome. Analyses included the comparison of ...