The Article Critique Assignment Guide in the Walden Library, listed in the Week 2 Learning Resources.

Sample Solution

Okay, I have searched for research articles that use repeated measures ANOVA. Based on the search results, here's a response addressing your questions:

It's challenging to provide a precise critique of a specific article without direct access to the Walden Library and the full text of the articles. However, I can give you a general response based on the characteristics and typical applications of repeated measures ANOVA, informed by the search results.

1. Why did the authors select repeated measures ANOVA in the research?

Repeated measures ANOVA is used when the same subjects are measured multiple times under different conditions or at different time points. ¹ The search results indicated that this method is suitable for studies that track changes in subjects over time or across different conditions, such as evaluating the effectiveness of interventions, studying developmental changes, or comparing treatments within individuals. The key feature of this design is that it accounts for the correlation between repeated measurements on the same subjects, reducing individual differences and increasing statistical ² power.  

2. Do you think this test was the most appropriate choice? Why or why not?

Whether repeated measures ANOVA is the most appropriate choice depends on the specific research question and the design of the study. However, given the nature of repeated measures designs, it is often a very suitable choice. The search results highlight its strengths in handling within-subject variability, making it a powerful tool for detecting changes or differences over time or across conditions. However, it also has specific assumptions (like sphericity) that need to be met. If those assumptions are violated, alternative approaches might be considered.

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3. Did the authors display the results in a figure or table?

Most research articles using ANOVA, including repeated measures ANOVA, will present the results in both tables and figures. The tables typically include the F-statistic, degrees of freedom, p-value, and effect size. Figures, such as line graphs, might be used to visualize the trends in the data over time or across conditions.

4. Does the results table stand alone? In other words, are you able to interpret the study from it? Why or why not?

A results table from a repeated measures ANOVA provides crucial information for interpreting the statistical significance of the findings. However, it usually does not "stand alone" in providing a complete understanding of the study.

• What the table provides: The table will tell you if there were statistically significant differences between the means across the different conditions or time points. It will also provide information about the magnitude of the effect (effect size).

• What the table doesn't provide: The table alone does not explain the context of the study, the nature of the variables being measured, or the practical significance of the findings. To fully interpret the study, you would need to read the introduction, methods, and discussion sections of the article. These sections provide the necessary background, explain the study design, and discuss the implications of the statistical results.

In summary, while I cannot provide a critique of a specific article from the Walden Library, this response outlines the typical use of repeated measures ANOVA and how to interpret research that uses this statistical method. Remember to always consider the broader context of the research article, not just the statistical results, to fully understand the findings.