I often hear this question: Should I use Excel to teach my class? Or should I use R? Which package is the best? It depends on the class The short answer is: It depends on your class. You have to … Continue reading →
My goal all along has been to offer all my stat workshops with support for multiple software packages. I’ve gotten further along with some of them than others, but I’m working on it. So I was pretty happy during the last Repeated Measures workshop when one of the participants, Dan Neal, mentioned he was working out all the exercises in R.
So for example let's say you have 20 items each on a 1 to 7 scale. For most items, a 7 may indicate a positive attitude toward some issue, but for a few items, a 1 indicates a positive attitude. I want to show you a very quick and easy way to reverse code them using a single command line. This works in any software.
In today's blog entry, I will walk through the basics of conducting a repeated-measures MANCOVA in SPSS. I will focus on the most basic steps of conducting this analysis (I will not address some complex side issues, such as assumptions, power…etc). If you find yourself with lingering questions after walking through this blog, feel free to leave questions in the "comments" section, or visit the MANCOVA section of my discussion…
Preparing a dataset for analysis is an arduous process. Besides recoding and cleaning variables, a diligent data analyst also must assign variable labels and value labels, unless they choose to wait until after your output is exported to Microsoft Word. Unfortunately, that option only leaves additional opportunity for error and confusion, not to mention the inefficiency of editing tables in Microsoft Word. Who among us have not been frustrated while…