Article Critique: ANOVA
The practice of quantitative research not only involves statistical calculations and formulas but also involves the understanding of statistical techniques related to real-world applications. You might not become a quantitative researcher nor use statistical methods in your profession but as a consumer, citizen, and scholar-practitioner, it will be important for you to become a critical consumer of research, which will empower you to read, interpret, and evaluate the strength of claims made in scholarly material and daily news.
For this Assignment, you will critically evaluate a scholarly article related to factorial ANOVA.
To prepare
Review the Article Critique Assignment Guide in the Walden Library, listed in the Week 2 Learning Resources.
Search the Walden Library for a quantitative article that applies factorial analysis of variance. Note that sometimes these are referred to as “two-way ANOVAs.”
By Day 7
The Assignment
Write a 2- to 3-page critique of the research you found in the Walden Library that includes responses to the following prompts:
Why did the authors select factorial ANOVA in the research?
Do you think this test was the most appropriate choice? Why or why not?
Did the authors display the results in a figure or table?
Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not?
Poor Fair Good ExcellentAnalysis and Results Applying statistical methods and tests to data sets using SPSS and Excel and analyzing the results. 0 (0%) - 23.44 (46.88%) Paper includes a description of the chosen variables but the description is missing several of the following details: their unit of analysis, their levels of measurement, and/or a visual display of the data (if appropriate). A description is not given about how these quantitative reasoning and analysis skills will translate into the ability to enact positive social change. Overall, the paper demonstrates a poor understanding of the chosen variables and their utility. 23.45 (46.9%) - 26.79 (53.58%) Paper includes a description of the chosen variables but the description is missing one or more of the following details: their unit of analysis, their levels of measurement, and/or a visual display of the data (if appropriate). A description is given about how these quantitative reasoning and analysis skills will translate into the ability to enact positive social change, but the description is vague. Overall, the paper demonstrates a fair understanding of the chosen variables and their utility. 26.8 (53.6%) - 30.14 (60.28%) Paper includes a description of the chosen variables, their unit of analysis, and their levels of measurement. A visual display of the data (if appropriate) is also provided, and a description is given about how these quantitative reasoning and analysis skills will translate into the ability to enact positive social change. Overall, the paper demonstrates a good understanding of the chosen variables and their utility. 30.15 (60.3%)-33.5 (67%) Paper includes a clear description of the chosen variables, their unit of analysis, and their levels of measurement. A clear visual display of the data (if appropriate) is also provided, and a detailed description is given about how these quantitative reasoning and analysis skills will translate into the ability to enact positive social change. Overall, the paper demonstrates an excellent understanding of the chosen variables and their utility.Writing Style The extent to which scholarly, critical, analytical writing is presented in APA format. Standard Edited English (i.e., correct grammar, mechanics). 0 (0%) - 11.54 (23.08%) Paper is well below graduate-level writing style expectations for organization, scholarly tone, APA style, and writing, or relies excessively on quoting. Paper may contain few or no quality resources. 11.55 (23.1 %) - 13.19 (26.38%) Paper is somewhat below graduate-level writing style, with multiple smaller or a few major problems. Paper may be lacking in organization, scholarly tone, APA style, and/or contain many writing and/or spelling errors, or shows moderate reliance on quoting versus original writing and paraphrasing. Paper may contain inferior resources (number or quality). 13.2 (26.4%) -14.84 (29.68%) Paper is mostly consistent with graduate-level writing style. Paper may have some small or infrequent organization, scholarly tone, or APA style issues, and/or may contain a few writing and spelling errors, and/or somewhat less than the expected number of or type of sources. 14.85 (29.7%)- 16.5(33%) Paper is well organized, uses scholarly tone, follows APA style, uses original writing and proper paraphrasing, contains very few or no writing and/or spelling errors, and is fully consistent with graduate-level writing style. Paper contains multiple, appropriate and exemplary sources expected/required for the assignment.
Article critique
Student Name
Institutional Affiliation
Article critique
The article critiqued in this case is Williams, A. J. (2015). A Comparative Analysis of Mississippi Rural Schools' Abstinence-Only and Abstinence Plus Programs.
Why did the authors select factorial ANOVA in the research?
The author selected factorial ANOVA so as to help him in examining the research question formulated for the study. The study focused on comparing programs by assessing the attitudes of the students towards social norms, sexual abstinence, self-efficacy, social norms, the perception on the efficiency of sex education, and behaviors towards sexual abstinence. The aim was to establish whether or not the variables were influenced by the programs and the relationship between gender and programs. As such, factorial ANOVA was used in this case because of the need for analysis of differences in a continuous dependent variable between the various independent discrete grouping variables. The method allowed the researcher to compare the dependent variable by the independent variables in the study (Andrew, Pedersen, & McEvoy, 2019). Independent variable 1 has both group 1 and group 2, similar to the independent variable, which as group 1 and group 2 as well.
Further, the factorial ANOVA approach was used because of the type of the data that was collected and used in the study. The data allowed the use of the F test, which enabled Williams (2015) to draw the final comparison on whether or not there was a difference in group means. The use of the F test could also allow the researcher to establish the ratio of the variance estimates of two independent variables within the same population variance. This also helped in testing the hypotheses formulated for this study. In a case where alpha=0.05 and the obtained F-value>the critical F-value after the degrees of freedom have been accounted, then the null hypothesis formulated for the study was rejected, an...
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