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# Multi-variate Analysis ??

Good Morning:

I'm currently conducting academic research that requires proving/disproving several hypotheses between 8 independent and one (or possibly two) dependent variable(s).

Please see attached JPG for conceptual framework of the hypotheses.

My questions:
- As I'm currently developing my survey instrument, I'd like to know how I can best evaluate the survey responses.    Should I use a multi-variate analysis?  If the answer is 'yes', is that on my indication to use "possibly two" dependent variables?   If one DV, is ANOVA the best choice?

- Based on the current framework, I have a very good sense as to what questions I should ask for the independent variables (IVs).   However, I'm not entire certain what set/kind of questions to include for the dependent variables (DVs).    Does anyone have some basic recommendations/examples for survey questions (for both independent AND dependent variables)?

- Finally, do you have a recommendation for a book that focuses specifically on ANOVA or MANOVA?    Ideally, the book would include some examples that walk me through the process of, e.g., setting up survey questions, analyzing the data, and then determining the results via ANOVA OR MANOVA.

Thanks,
EEH
ConceptualFramework.JPG
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ExpExchHelp
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1 Solution

Commented:
What are your hypotheses regarding the relationship between the variables?
The appropriate analysis depends on the hypothesis you wish to test.
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Author Commented:
All of the 8 hypotheses are stated in the following fashion...

1. Variable [ABC] will be positively related to [Name of Dependent Variable].

2. Variable [DEF] will be positively related to [Name of Dependent Variable].

3. Variable [GHI] will be negatively related to [Name of Dependent Variable].

...

...
8. Variable [XYZ] will be positively related to [Name of Dependent Variable].

Hope this helps,
EEH
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Commented:
I'm not sure how you define "related", but if you mean correlated,
it's easy enough  to find the correlation coefficient.
http://mathworld.wolfram.com/CorrelationCoefficient.html
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Author Commented:
Thanks for the feedback
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