This tutorial walks you through a complete multiple regression analysis in SPSS:

- Data Checks and Descriptive Statistics
- SPSS Regression Dialogs
- SPSS Multiple Regression Output
- Multiple Regression Assumptions
- APA Reporting Multiple Regression

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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.

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Quick guide on creating dummy variables in SPSS for categorical predictors in regression.

Intermediate tutorial with practice data, examples and a handy tool.

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How to run and interpret dummy variable regression in SPSS?

These 3 examples walk you through everything you need to know.

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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.

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How to run a regression analysis with a moderation interaction effect? This SPSS example analysis walks you through step-by-step.

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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.

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Step-by-step beginners tutorial on mediation analysis in SPSS without using the PROCESS macro.

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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.

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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.

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*"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?"*

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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.

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Before running SPSS stepwise regression, first just get a grip on your data. This tutorial walks you through the essential data checks.

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SPSS stepwise regression example. Easy-to-follow explanation of what and why with downloadable data file and annotated output.

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SPSS stepwise regression analysis in normal language. With illustrations, downloadable practice data and syntax.

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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.

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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.

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SPSS Simple Linear Regression - Tutorial & Example

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This tutorial gently walks you through the basics of simple regression: b and beta coefficients, the intercept and r-square (adjusted). Get this right and you'll get it all right.

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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.

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## 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?