Describe the variables used in the analysis, along with the level of measurement (i.e., nominal, ordinal, interval, or ratio) for each variable.

For this assignment, you read the article written by Buzi, Smith, and Weinman (2014) located under your weekly resources. These authors used a chi-square analysis to analyze the data from their research study.
Now, write a summary of the research, including background information on the topic, the main hypotheses, methods, results, and the conclusions drawn by the researchers. In addition to this summary, be sure to address the following in your paper:
Describe the variables used in the analysis, along with the level of measurement (i.e., nominal, ordinal, interval, or ratio) for each variable.
Explain why the researchers used chi-square to analyze the data. In other words, how does the level at which each variable is measured determine which analysis is appropriate? Please support your answer to this question using the course materials or other scholarly resources.
Did the authors use a diverse group of participants (e.g., various ages, races, etc.) in their research? You should describe some characteristics of the sample used in the research.
Sirkin, R. N. (2006). Statistics for the Social Sciences. (3rd ed.). Thousand Oaks, CA: SAGE Publications, Inc. doi:
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Buzi, R. S., Smith, P. B., Weinman, M. L. (2014). Screening for depression among minority young males attending a family planning clinic.
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Curtis, K., & Youngquist, S. T. (2013). Basics of research: Part 21: Categoric analysis: Pearson chi-square test.
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McHugh, M. L. (2013). The chi-square test of independence.
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