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Thread: Unbalanced sample - which test do I use?

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    Unbalanced sample - which test do I use?




    I have two samples - group 1 has 26 participants / group 2 has 44 participants

    I was planning to use a two-way anova to analyze various aspects of my survey, but now am wondering if I need to use Friedman's two-way anova or something completely different. Any help would be greatly appreciated.

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    Re: Unbalanced sample - which test do I use?

    Here is some additional information:

    27 - Male
    43 - Female

    26 - Ensemble Participants (college freshmen who continued playing an instrument in college)
    44 - Ensemble Nonparticipants (college freshmen who discontinued playing an instrument in college)

    Thanks!

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    Re: Unbalanced sample - which test do I use?

    This sounds more like a 2-sample t-test or a 1-way ANOVA with 2 levels unless I am missing something.

    Added: Just saw your additional information. A 2-way ANOVA will work. It is not necessary that the experiments be balanced.

    Added later: This assumes that you have continuous response data. I saw that you mentioned a survey which often uses ordinal responses.

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    Re: Unbalanced sample - which test do I use?

    Thanks. I am hoping to examine the relationship between and among these groups regarding a variety of influences, beliefs, and scores in other areas. My understanding was that two-way anova was required to compare in and between:


    Gender vs. Participation and the relation to "Academic Major" or "Dropout Proneness (score on a test that measures likelihood of dropping out of college). Does that change your thoughts or confirm your original thought?

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    Re: Unbalanced sample - which test do I use?


    My survey is all Likert scale "agreement" statements. "Strongly Agree" to "Strongly Disagree". The responses were then coded 5-1 (5 = Strongly Agree; 1 = Strongly Disagree) in order to make the "measurement" interval scale instead of ordinal or nominal. Does that make sense?

    I also mentioned "dropout proneness" and "Academic Major". Dropout Proneness was measured 1-9 (1 = less likely to drop out) and Academic Major was (1 = Arts & Letters; 2 = STEM "Science, Tech, Engineering, Math).

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