5. Presence of User Missing Values (Overview and data file are are found here) User missing values are values that we want to exclude from analysis. We do so by specifying (ranges of) values as “missing” in SPSS. For ordinal variables, we typically exclude answers such as “Don’t know” or “Not applicable”. For metric variables, we exclude values that are not […]
Before you start analyzing real-world data, make sure you have a basic idea what your data look like. How many cases and variables do you have? Do their frequency distributions look plausible? Do you have any string variables and do you need to set any missing values? A quick data inspection takes little time and effort and may save you […]
When we start analyzing a data file, we first inspect our data for a number of common problems. For instance, we want to be sure that variables have the right formats, don’t contain any weird values and have plausible distributions. The table below proposes which steps should be taken and in which order. For getting […]
SPSS Regression Basics Simple Linear Regression – Quick Introduction SPSS Multiple Regression Analysis – Tutorial Linear Regression in SPSS – A Simple Example Read SPSS Stepwise Regression Stepwise Regression in SPSS – Data Preparation Read Stepwise Regression in SPSS – Example Stepwise Regression in SPSS – Example 2 Regression – Dummy Variables Creating Dummy Variables […]
