# How to Analyze Frequency Data with Between-Within Factors

I'm trying to analyze data from an intervention study that has 70 participants separated into two groups (Control and Intervention - Between Subjects) and looks at pre-post data (Within Subjects) The dependent variable is the number of times a certain document was accessed. Prior to the intervention, baseline data was examined in both groups, the intervention was implemented, and then the number of times the document was accessed was examined again to see whether there were difference between the control and intervention group.

        BASELINE | POST
CONTROL     6       17
INTERV      3       11


Considering we have 1 between variables (group) and 1 within variable (time), with frequency/count data as the DV, what's the best analysis for this time of data? I know we can't do Chi-Squares because of the within-subjects metric.

Edit: To answer some questions below, I have individual subject data (i.e. if the individual accessed the data at baseline, and if they accessed it post-int). The group were randomized; n = 35 for the control and n = 36 for the intervention group. I can't explain why Control accessed the doc more during baseline, other than simple variance. Any help would be appreciated, thanks.

• How do you explain that Control subjects accessed the document more often at baseline and afterwards? Were the 70 subjects split 35:35? Commented Nov 26, 2019 at 21:08
• Do you have data on each subject or only on the groups? Commented Nov 27, 2019 at 11:24