New to SPSS- unsure of what analysis to do- DISSERTATION STUDENT

#1
In my study, participants take part in the State Trait Anxiety Inventory (STAI) where they are ranked into high or low trait anxiety groups. Participants are then shown multiple videos of 7 different emotions.

IV- High or low trait anxiety group DV- Correct responses of emotion.

I am unsure about analysing the data, I am thinking of doing a repeated measures ANOVA, but I don't know if that is the correct analysis to do.

Any help is very much appreciated, thank you.
 
#2
The measurement of 'correct responses of emotion' is a number of how many correct responses for each emotion the participants scored. For example Happy-7 Sad-4 Angry- 3 Fear- 8 etc.

I want to see if there are significant differences in the general emotion ability with regard to participants with low levels of trait anxiety and if there are any differences in the recognition of specific emotions. For example the literature has found that participants with high levels of trait anxiety are more accurate in recognition of fear.
 

Karabiner

TS Contributor
#3
In my study, participants take part in the State Trait Anxiety Inventory (STAI) where they are ranked into high or low trait anxiety groups.
This sounds awkward. Just 1 point difference might decide about whether you have "high" or "low" trait anxiety?
And where's the medium anxiety group? Those in the middle are lumped together with the extremes. Plus, dichotomization
not only has logical flaws, but it also destroys much statistical information contained in the original score.

IMHO, you can just perform a repeated-measures analysis of variance with "anxiety score" as interval scaled predictor
("covariate" in SPSSish language). No need for that high-low stuff.

want to see if there are significant differences in the general emotion ability with regard to participants with low levels of trait anxiety and if there are any differences in the recognition of specific emotions. For example the literature has found that participants with high levels of trait anxiety are more accurate in recognition of fear.[/ref]
You can regress number of correct responses in the "fear" condition on the anxiety score.

With kind regards

Karabiner



Like Reply