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Comparing Methods of Statistical Analysis

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Help!! I need to compare data within several research articles to draw a conclusion about their results. The problem I am having is that they all employ different statistical types. Some of the results are correlations, some give the results as MANCOVAS and some are linear regressions. What I need to know is how I can compare these things in a relatively simple meaningful way. Can you please tell me which formula or conversion method I need to employ so that I can compare these various methods of analysis? Thank you so much!!!

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Solution Summary

This solution explains how to compare data from several research articles that employ different statistical analysis in order to to draw 'meaningful' conclusions about their results. Supplemented with a highly informative article on MANCOVA analysis.

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Please see file response attached, which is also presented below. I added a relevant article as well that I thought might help in doing your comparisons across studies. I hope this helps and take care.

RESPONSE:

1. I need to compare data within several research articles to draw a conclusion about their results. The problem I am having is that they employ all different statistical types. Some of the results are correlations, some give the results as MANCOVAS, some are linear regressions. What I need to know is how I can compare these things in a relatively simple meaningful way. Can you please tell me which formula or conversion method I need to employ so that I can compare these various means of analysis??? Thank you so much!!!

When you are asked to compare the data across different studies, it is not about converting the results to make comparisons across the findings. It is more about comparing the type of research questions, the type of research design, the methods employed for that specific design, and finally, the type of analysis that is dictated by the research question and the research design. Lastly, the conclusions drawn and how they reflect the research question and the design employed.

A. For example, let's look at the correlation study.

The research question would be looking at the relationship between variables (i.e., what is the relationship between nutrition and depression). This type of research question determines that the researcher employ a correlation research design and method (i.e., form two groups and compare). The method (correlation) determines that type of analysis (i.e., linear regression looks at the relationship between two variables). Finally, the conclusion will be written up in a way that answers the research question (nutrition was negatively related to depression).

Depending on the number of variables, ...

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