Many easy options have been proposed for combining the values of categorical variables in SPSS. However, the real information is usually in the value labels instead of the values. This tutorial proposes a simple trick for combining categorical variables and automatically applying correct value labels to the result. SPSS Combine Categorical Variables Example You may follow along by downloading and opening hospital.sav. Now say […]
This tutorial shows how to create nice tables and charts for comparing multiple dichotomous variables. If statistical assumptions are satisfied, these may be followed up by a McNemar test (2 variables) or a Cochran Q test (3+ variables). We’ll use the freelancers.sav data throughout. SPSS DESCRIPTIVES Table The simplest way to compare multiple dichotomous variables is simply running DESCRIPTIVES: as long as […]
When analyzing your data, you sometimes just want to gain some insight into variables separately. The first step in doing so is creating appropriate tables and charts. This tutorial shows how to do so for dichotomous or categorical variables. We recommend you follow along by downloading and opening smartphone_users.sav. SPSS Frequency Tables We’d like to know which smartphone brands were […]
Introduction When reporting on data, we usually summarize our variables. The most basic way for doing so is presenting their frequency distributions. Visualizing these as histograms tends to give immediate insight into what a variable ‘looks like’, especially when many distinct values are present. However, frequency distributions often provide more detail than we actually need. […]
This tutorial walks through running nice tables and charts for investigating the association between categorical or dichotomous variables. If statistical assumptions are met, these may be followed up by a chi-square test. As an example, we’ll see whether sector_2010 and sector_2011 in freelancers.sav are associated in any way. SPSS Quick Data Check Before doing anything else, let’s first just take a quick […]
