This tutorial walks you through a complete multiple regression analysis in SPSS:
Hierarchical regression comes down to comparing different regression models. Each model adds 1(+) predictors to the previous model, resulting in a “hierarchy” of models.
This tutorial quickly walks you through this analysis in SPSS.
Quick guide on creating dummy variables in SPSS for categorical predictors in regression.
Intermediate tutorial with practice data, examples and a handy tool.
How to run and interpret dummy variable regression in SPSS?
These 3 examples walk you through everything you need to know.
For mean centering predictors in SPSS, just add their means to the data. Then simply subtract them from the original variables. With examples & practice data.
PROCESS is a freely downloadable SPSS tool for estimating regression models with mediation and/or moderation effects.
Using PROCESS properly is challenging. This tutorial quickly gets you started with some tips & tricks.
Simple but complete guide on SPSS mediation analysis with the PROCESS macro.
Step-by-step beginners tutorial on mediation analysis in SPSS without using the PROCESS macro.
The Sobel test (or “normal theory test”) is a significance test for indirect effects in mediation analysis.
Quick tutorial with examples, formulas and an Excel calculation tool.
Categorical variables can't readily be used as predictors in regression analysis; they must be split up into dichotomous variables known as “dummy variables”.
This tutorial offers a super easy tool for creating these.
"I'd like to mean center a lot of variables in order to compute interaction terms for a regression analysis. Is there an easy way to do this for many variables simultaneously?"
This simple SPSS tool creates one, many or all scatterplots among a set of variables.
Optionally, it adds (non)linear fit lines and regression tables as well.
Before running SPSS stepwise regression, first just get a grip on your data. This tutorial walks you through the essential data checks.
SPSS stepwise regression example. Easy-to-follow explanation of what and why with downloadable data file and annotated output.
SPSS stepwise regression analysis in normal language. With illustrations, downloadable practice data and syntax.
Multiple regression is a statistical technique that aims to predict a variable of interest from several other variables. This tutorial explains multiple regression in normal language with many illustrations and examples.
This tutorial walks you through several simple options for creating scatterplots with regression lines.
We'll also cover linear and nonlinear regression lines for all cases or subgroups of cases.
Logistic regression is a technique for predicting a dichotomous outcome variable from 1+ predictors.
This simple introduction quickly walks you through all logistic regression basics with a downloadable example analysis.
THIS TUTORIAL HAS 8 COMMENTS:
By Chandrasekhar Subramanyam on May 10th, 2018
I used SPSS EXPERT Modeller with one dependent and four predictors.In output it says one Predictor.
How to identify which one is this?
How do we get the ARIMA coefficients
Prof S Chandrasekhar
By SIKANDAR ABDUL QADIR on August 7th, 2018
Ordinal logistic regression with Interaction terms interpretation.
By Ruben Geert van den Berg on August 7th, 2018
We're going to expand on and cover linear multiple regression with moderation interaction pretty soon. Ordinal logistic regression -unfortunately- is not on our agenda just yet. Sorry!
By chernet on August 7th, 2019
Wow! It's good job
By Ro Gumm on July 15th, 2020
Do you have a tutorial on how to do partial least square regression analysis?