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Data Analysis and Evaluation of Findings

Case – Data Analysis and Evaluation of Findings

 

1. The scenario is that you are part of a hypothetical research team studying the effect of team-teaching on student performance in online courses. The Research Question is as follows:
RQ: Is there a significant difference in final grades of students who are team-taught and students who are not team-taught?

2. Your task is to describe the following information for your fellow team mates:

 
o the research methodology best suited for this study
o variables that need to be measured (IVs, DVs, any covariates or mediating variables)
o the type of data each variable represents (categorical: ordinal or nominal; or continuous: interval or ratio)?
o size and characteristics of appropriate sample population (s)
o data collection methodology, and type of instrument(s) that may be used to collect data
o statistical tests most appropriate for data analysis (T-test, ANOVA, or simple regression analysis)

3. Please be sure to include a brief (but clear) explanation for each of your descriptions to the above items.

 

Hill, J. (2005).* Introduction to Descriptive statistics. Retrieved November 2010 from the University of Illinois at Urbana-Champaign website: https://www.mste.uiuc.edu/hill/dstat/dstat.html

Johnson, R. B., & Christensen, L. (n/s). Descriptive Statistics. University of South Alabama. Retrieved May 2011 from https://www.southalabama.edu/coe/bset/johnson/lectures/lec15.htm

Johnson, R. B., & Christensen, L. (n/s). Inferential Statistics. Retrieved May 2011 from https://www.southalabama.edu/coe/bset/johnson/lectures/lec16.htm

Rice Virtual Lab in Statistics (2006, June). Glossary. Retrieved November 2010 from https://www.davidmlane.com/hyperstat/glossary.html

Spurlock, D. G., Cox, L. R., Lewis, N. A., Lueck, G.A. (2008). A content analysis of data collection and analysis techniques as reported in the engineering management literature. Engineering Management Journal. 20(2), p46-55. Retrieved August 22, 2013 from ProQuest

StatSoft, Inc. (2010). Electronic Statistics Textbook. Elementary Concepts. Retrieved May 5, 2011, from https://www.statsoft.com/textbook/elementary-concepts-in-statistics/?button=1

 

Rebecca J.
Rebecca J.
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