That's true, but there are more complications. The responses appear to be a multiple dichotomy set. Independent tests on each variable run into the multiple testing problem. CTABLES could be used on the set, but more information would be needed on the other variables the user wants to control for.
------------------------------
Jon Peck
------------------------------
Original Message:
Sent: Thu November 30, 2023 03:08 AM
From: Ghulam Yasin
Subject: Looking at group differences
For independent sample t-test to run, the dependent variable needs to be on continuous scale, however, in the given case it is categorical, therefore it cannot be run. The test you can run on it is cross tabulation along with chi square, that can give you some insights.
Best regards,
Ghulam Yasin
------------------------------
Ghulam Yasin
Original Message:
Sent: Mon November 27, 2023 04:25 PM
From: Raheleh Salimzadeh
Subject: Looking at group differences
Hi,
I have a data set where I need to look at the differences between graduate and undergraduate students in terms of some variables.
For example, the dependent variable is asking:
What resources would you likely use to support your academics this coming year? Select all that apply.
- academic advising
- academic achievement plan
- Support groups
- Essay writing groups
- Writing center
- in person study groups
- Mentoring and peer support
There are seven response options.
Can I use independent samples t-test to look at the differences between grad and undergrad students with regards to this question?
I would like to know what resources gard students select and what resources undergrad studnets select.
If not what would be the best test to look at this?
Thanks!
------------------------------
Raheleh Salimzadeh
------------------------------