This seminar will introduce some fundamental topics in regression analysis using SPSS in three parts. The first part will begin with a brief overview of the SPSS environment, as well simple data exploration techniques to ensure accurate analysis using simple and multiple regression. The second part will introduce regression diagnostics such as checking for normality of residuals, unusual and influential data, homoscedasticity and multicollinearity. The third part of this seminar will introduce categorical variables and interpret a two-way categorical interaction with dummy variables, and multiple category predictors. The following seminar is based on IBM SPSS Version 23
In this seminar, we will be using a data file that was created by randomly sampling 400 elementary schools from the California Department of Education’s API (Academic Performance Index) 2000 dataset. This data file contains a measure of school academic performance as well as other attributes of the elementary schools, such as class size, enrollment, socioeconomic status, etc.
The links to the seminars are here:
- Lesson 1: Introduction
- Lesson 2: SPSS Regression Diagnostics
- Lesson 3: SPSS Regression with Categorical Predictors
The two files you need for this seminar are:
You can save these files in any folder you choose. For the purposes of this seminar we will save these two files in C:\spssreg.
Click on the following link to download syntax for all three lessons: Intro to SPSS Regression syntax
Please download and store this SPS file into the same folder as your two SAV files.