Basic Qualtrics Data Processing & Analysis in R

Demographics

Continuous Demographics

For a continuous demographic, you'll need to calculate the mean, standard deviation, and range of the variable:

Categorical Demographics

For a categorical demographic, you'll need to calculate the percentage of participants in each category for the variable:

Grouped statistics for Inferential Analysis Reporting

If your independent variable(s) are categorical, you will ultimately want to represent the descriptive statistics of each data level of your independent variables in your reports. The dplyr package in R allows us to sort our analyses of a particular variable by their categorization in another variable. So, we can generate descriptive statistics of your dependent variable specific to each category in your independent variable

To report properly, you'll need the standard deviatiion of your dependent variable grouped by condition, at the minimum. If you are running a factorial ANOVA or multiple regression, you may want to calculate these statistics broken down further by crossing your multiple IVs.

These figures will be important when you report your hypothesis analysis, so let's take a look at how to perform the appropriate analysis for your data.