SPSS PROCESS Macro Tutorial By Ruben Geert van den Berg under Regression Downloading & Installing PROCESS Creating Tables instead of Text Output Using PROCESS with Syntax PROCESS Model Numbers PROCESS & Dummy Coding Strengths & Weaknesses of PROCESS What is PROCESS? PROCESS is a freely downloadable SPSS tool for estimating regression models with mediation and/or
SPSS Label Cleaning Tool By Ruben Geert van den Berg under SPSS Tools We sometimes receive data files with annoying prefixes or suffixes in variable and/or value labels. This tutorial presents a simple tool for removing these and some other “cleaning” operations. Prerequisites and Installation Example I – Text Replacement over Variable and Value Labels
SPSS Moderation Regression Tutorial By Ruben Geert van den Berg under Regression SPSS Moderation Regression – Example Data SPSS Moderation Regression – Dialogs SPSS Moderation Regression – Coefficients Output Simple Slopes Analysis I – Fit Lines Simple Slopes Analysis II – Coefficients A sports doctor routinely measures the muscle percentages of his clients. He also
SPSS Mean Centering and Interaction Tool By Ruben Geert van den Berg under SPSS Tools & Regression Also see SPSS Moderation Regression Tutorial. Regression with Moderation Effect Downloading and Installing the Mean Centering Tool Using the Mean Centering Tool Mean Centering Tool – Results A sports doctor wants to know if and how training and
Split-Half Reliability in SPSS By Ruben Geert van den Berg under Factor Analysis Quick Data Screening SPSS Split-Half Reliability Dialogs SPSS Split-Half Reliability Output Spearman-Brown & Horst Formulas Specifying our Test Halves A psychologist is developing a scale to measure “emotional stability”. She therefore administered her 15 items to a sample of N = 924
How to Create Dummy Variables in SPSS? By Ruben Geert van den Berg under Regression You can’t readily use categorical variables as predictors in linear regression: you need to break them up into dichotomous variables known as dummy variables.The ideal way to create these is our dummy variables tool. If you don’t want to use
SPSS Chi-Square Test with Pairwise Z-Tests By Ruben Geert van den Berg under Chi-Square Tests Most data analysts are familiar with post hoc tests for ANOVA. Oddly, post hoc tests for the chi-square independence test are not widely used. This tutorial walks you through 2 options for obtaining and interpreting them in SPSS. Option 1
SPSS ANOVA without Raw Data By Ruben Geert van den Berg under ANOVA 1. Set Up Matrix Data File 2. SPSS Oneway Dialogs 3. Adjusting the Syntax 4. Interpreting the Output In SPSS, you can fairly easily run an ANOVA or t-test without having any raw data. All you need for doing so are the
SPSS Missing Values Tutorial By Ruben Geert van den Berg under Basics Contents SPSS System Missing Values SPSS User Missing Values Setting User Missing Values Inspecting Missing Values per Variable SPSS Data Analysis with Missing Values What are “Missing Values” in SPSS? In SPSS, “missing values” may refer to 2 things: System missing values are
SPSS Multiple Linear Regression Example By Ruben Geert van den Berg under Regression Multiple Regression – Example Data Checks and Descriptive Statistics SPSS Regression Dialogs SPSS Multiple Regression Output Multiple Regression Assumptions APA Reporting Multiple Regression Multiple Regression – Example A scientist wants to know if and how health care costs can be predicted from