Complex ANOVA Study
During this week you will identify a research question created in Week 1 that would utilize one of the following: factorial ANOVA or mixed-design ANOVA. If there are no research questions that fit any of these types of statistical analyses, you will need to decide on a new question before moving forward with the assignment.
Initial Posting – In your initial posting for this assignment, include the following:
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Discussion Assignment Requirements
- Identify an appropriate research question that would require the use of a factorial or mixed-design ANOVA to answer. Pick the question from the list created in Week 1 or identify a new question if there are no appropriate ones from Week 1.
- Describe why this question is appropriate for the selected statistical test.
- Identify the variables in this study and each of their attributes: discrete or continuous, quantitative or categorical, scale of measurement (nominal, ordinal, interval, or ratio), and independent or dependent.
- Do the variables fit the qualifications for the selected statistical test? Explain.
- List the statistical notation and written explanation for the null and alternative hypotheses.
- Describe the types of errors that could occur.
Replies – Though you may respond to your peers multiple times during the week to provide support or feedback, students are required to respond to one of their classmates’ postings by Day 7.
Point Value: 4 Points———————————————————————–
Sukal, M. (2013). Research methods: Applying statistics in research. San Diego, CA: Bridgepoint Education, Inc.
Chapter 8: Factorial and Mixed-Factorial Analysis of Variance
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.)Links to an external site.
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UIS. (n.d.). How to critique a journal article. Retrieved from https://otpod.files.wordpress.com/2013/03/jrnlcrtq.pdf (Links to an external site.)Links to an external site.
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.)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.)Links to an external site.
Two-Way ANOVA, Factorial ANOVA
Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Design of Experiments & ANOVA: http://www.stats.gla.ac.uk/steps/glossary/anova.html (Links to an external site.)Links to an external site.
Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Hypothesis Testing: http://www.stats.gla.ac.uk/steps/glossary/hypothesis_testing.html (Links to an external site.)Links to an external site.
Neill, J. (2010). ANOVA II. University of Canberra. Available from: http://www.slideshare.net/jtneill/anova-part-ii (Links to an external site.)Links to an external site.
Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Two-way ANOVA: http://onlinestatbook.com/stat_sim/one_way/index.html (Links to an external site.)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.html (Links to an external site.)Links to an external site.