I'm doing my dissertation project on the effect perfectionism and athletic coping skills have on injury occurrence and frequency. Perfectionism is being measured using 2 sub scales from different questionnaires (Both on a 5 likert however different N. of items). Coping is being measured with 1 questionnaire which has 7 sub scales (28 items, which create an overall). I have 75ppts and when the data was analysed, the Cronbach alpha tests for each subscales are strong. However can my results be reliable with the number of participants i have? STRESSED over this as its for my dissertation.
Any help would be Grand :)
For assesing reliabilty of the scales it may be sufficient number of participants. But to get valid results " on the effect perfectionism and athletic coping skills have on injury occurrence and frequency" I think it's not enough, especially to assess injury frequency. You may use effect sizes indexes which take into account the sample size to assess your results. The choice of effect size index depends on the statistical criterion used in the study
the sample not less than 30 for reliability and validity, if you will use factor analysis you need big sample according the number of items in your's scales
there are so many missing information about the sample. How do you select them? How is their personality attributes? they have to be equal in all other variables except the variables you are studying. You have to have the important variables controlled or use them as covariates.
Good luck
Marat Assanovich Ok that makes sense. Thank you very much! and thank you Boshra A Arnout
slightly unrelated but my perfectionism variables (concerns and strivings) are each comprised of one subscale from the MIPS and one sub-scale from the SMPS (both validated perfectionism scales). the issue is they have a different number of items (5 for MIPS and 7 for SMPS). I am right to standardise the scales using Z-scores before combining them to represent perfectionist strivings and concerns in order to ensure all items have an equal contribution to the measure?
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