My research question is:
How do video gaming effect sleep pattern in adult video gamers?
R1: How often will the subjects lose sleep due to playing video games?
R2: Does the content of the video game genre have any effect on the sleep quality?
R3: What are the main reasons for sleep deprivation due to gaming among individuals?
I have two hypothesis:
H0: There will be significant effect of gaming on the sleep pattern of individuals.
H1: There will be no significant effect of gaming on the sleep pattern of individuals.
I am using a 3 scale likert questionnaire of 25-30 items to question the gamers about their Total Sleep time, Sleep Onset Latency and Screen time (time spent playing video game) to assess if there are any sleep disorders due to that.
Which data analysis technique must I use under SPSS?
Nida, I think the first thing you need to think about is whether you want to keep your variables as continuous scores. It appears that the summed scores on the 3 questionnaires could all be treated as continuous and therefore correlations and regression are the most likely tests that could be used. However if there are cutoff scores that can be applied then some, or all the variables, can be recoded as categorical variables. For example, maybe sleep time can be classified as adequate/inadequate or Screen time could be classified as excessive/non-excessive. If this can be done in a sensible way then these recoded variables could be independent variables in a t-test or ANOVA. So to some extent the nature of the data will determine which tests you can conduct.
Thank you Mark. That was very helpful. I am going to use correlation to see if there is any significant link.
Yes, that is interesting about classification. I appreciate your comment. I'll refer back to you on this once I determine the nature of my data.
Nida, if the scale is validated originally, you may look for the scoring methods from the original author. You may then adopt the scoring methods (either as continuous or categorization of the total scores based on appropriate cut-off points). Mark's suggestions is very useful on the types of tests to be used. But first look at the responses of your Likert, are the responses reflecting in a similar trend or do you need to reverse scores on certain items? Then determine the type of independent variables that you are about to test the associations.
Ms. Nida, First look at your variables of investigation in terms IV and DV. If your IV has two groups like male and female or adult gamers vs. less adult gamers and you want to analyze them for their differences on DV (sleep pattern). Then you can use Independent T test.
If you have three groups then use ANOVA.
you can develop scale scores in spss for each subject and categorise them and based on scale score categories you can calssify them as mild ,moderate and severe and finf association with other variables by chisquare test as other IV are also looks to be categorical.
If you have entered data in epiinfo then Microsoft Excel and access will be of help
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