Dependent t-tests and Repeated Measures Analysis of Variance

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Article Critique: Repeated Measures ANOVA

The readings for this week focus on the concepts of basic ANOVAs, including one-way and repeated measures ANOVA. In this discussion we will apply those concepts to the review and critique of a research article. For information on how to critique a research article, see the Coughlan et al. (2007) and UIS (n.d.) guides listed in the Required Readings for this week.

Read the following article.

· Lee, M., & Johnson, T. E. (2008). Understanding the effects of team cognition associated with complex engineering tasks: Dynamics of shared mental models, Task-SMM, and Team-SMM. Performance Improvement Quarterly, 21 (3), 73-95. doi: 10.1002/piq.20032 SEE ATTACHED FILE

In the body of your posting, include an overview of the following topics:

· Research question – List the research question for the study.

· Hypotheses – List the statistical notation and written explanations for the null and alternative hypotheses for the study.

· Methods and Study Design – Describe the basic methods used, including the variables, sampling methods, data collection, etc.

· Data Analysis – Summarize the statistical tests conducted, the results obtained from each test, and conclusions regarding the hypotheses.

· Critique – Critique the results of the study, paying specific attention to the appropriateness of the analyses conducted, any biases or assumptions that were made, practical significance of the results, and recommendations for improving upon the study (methods or analyses). • Summary – Provide a brief summary of the study’s findings in 2-3 sentences. Do not use any numbers or statistical terms, but provide a review that would make sense to someone who has not studied research methods or statistics.

Resources

Required Text

Sukal, M. (2019). Research methods: Applying statistics in research. San Diego, CA: Bridgepoint Education, Inc.

Chapter 6: Analysis of Variance (ANOVA)

Chapter 7: Dependent t-tests and Repeated Measures Analysis of Variance

SMARTLab Tests: The SMARTLab is a self-paced, online basic statistics course designed to prepare you for your graduate courses and graduate research.

Integrated Practice Set

Required References

Coughlan, M., Cronan, P., & Ryan, F. (2007). Step-by-step guide to critiquing research. Part 1: Quantitative research. British Journal of Nursing, 16 (11), 658-663. Retrieved from:http://www.unm.edu/~unmvclib/cascade/handouts/critiquingresearchpart1.pdf (Links to an external site.)

Recommended References

American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, D.C.: Author.

Cengage Learning (2005). Research Methods Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/resch_wrk.html (Links to an external site.)

APA Style, Between versus Within Designs, Controls, Ethical Issues, Evaluating Published Research, Experimental Methods, Getting Ideas for a Study, Operational Definitions, Reliability and Validity, Sampling Methods, Specifying Constructs, True Experiments

Cengage Learning (2005). Statistics Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html (Links to an external site.)

One-Way ANOVA, Statistical Power

Khan Academy (Producer). (2011). Statistics. Available from https://www.khanacademy.org/math/statistics-probability (Links to an external site.)

ANOVA 1 – Calculating SST (Total Sum of Squares), ANOVA 2 – Calculating SSW and SSB (Total Sum of Squares Within and Between), ANOVA 3 – Hypothesis Test with F-Statistic

Neill, J. (2010). ANOVA II. University of Canberra. Available from: http://www.slideshare.net/jtneill/anova-part-ii (Links to an external site.)

Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: One-way ANOVA: http://onlinestatbook.com/stat_sim/one_way/index.html (Links to an external site.)

Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Robustness: http://onlinestatbook.com/stat_sim/robustness/index.htm