What research design do I use?

Hi everyone!
I am giving 13 measures to six different groups of individuals
(correlational design, no treatment provided, just measures to assess
attitudes) and am interested in doing analyses on these groups. I am
also interested in collapsing these groups into two groups and then
four groups and performing further analyses on the 13 measures. Since
there is no treatment, does this have to be a regression or can I use
ANOVAs/MANOVAs? I am thinking there is no independence of error since I
am measuring the same person on 13 measures so ANOVAs/MANOVAs may be
out?



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Relevant Pages

  • Re: Why ANCOVA?
    ... Data was collected from different individuals in each treatment group. ... ANCOVA analyses for each continuous test score (36 separate ... Would a multiple linear regression in this case ... ANOVA "factors" with more than two levels ...
    (sci.stat.edu)
  • Why ANCOVA?
    ... Data was collected from different individuals in each treatment group. ... ANCOVA analyses for each continuous test score (36 separate ... used to control for continuous "covariates", ...
    (sci.stat.edu)
  • Re: Reporting effect sizes for McNemars test
    ... appropriate effect size index to report with my analyses. ... be the difference in pairs favored by one treatment. ... That is reference to a t-statistic. ...
    (sci.stat.math)
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