On Wed, 2 Nov 2016 09:36:02 -0700 (PDT), Godless Ravenlord
>Hi there to all SPSS users
>Considering myself not an expert user of SPSS and not very fond of statistics in general, I need a little help.
>I have a bunch of behavioral data concerning daily routing of horses. I've performed chi-square tests to find differences between the 2 major subgroups on my sample etc etc but I would like to go a little further. So I would like to ask if there is a way to combine the data in a meaningful way in order to find a behavioral mean of all days and depict in a diagram in SPSS?
Look at all the data for both groups. What makes sense of it?
Is it the total amount of Locomotion/Feeding/Resting/other ? (LFRo)
Is it the time of day of LFRo? Is it how often one horse switches?
- Ask the horse trainers.
> To be a little more specific I'm posting ? graph btw. link to graph ( https://postimg.org/image/3kmmsr7ex/ ) It is a stacked bar chart of the behavioral routine of one of the horses I was keeping data, showing 4 types of behavior (Locomotor, Feeding, Resting and a group of other behaviors that are less important and in low frequency grouped altogether) during a period of 11 hours, taken every five minutes. The graph depicts frequency counts and not percentages. What I'm asking is how I can find the mean of every behavior, every hour of the day (if there's a meaningful way for me to do this) via SPSS and depict it as
You can use Aggregate to get the means by hour, or whatever.
But you would do better, I think, in spending some hours on
working on the conceptualization.
>graph in order to compare it against the other horses' behavioral patterns.
>My row data are in an SPSS spread sheet of 3180 rows and 12 primary columns so it's a little to much to post. I can transfer them in an excel sheet and post it if anyone wants to take a look. If you just want a to take a quick glimpse at the form of the data here's a link http://postimg.org/image/45730hojr/
>I hope I became clear enough. Don't hesitate to ask me for anything you don't understand.
>Thank you in advance