Quantitative Research

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 repeated measures ANOVA.

In this course, your instructor will provide you with one dataset (Guided Sample Dataset: Statistics Anxiety) that will be used in several of the tutorial videos. You are encouraged to reproduce the analyses performed in the video using this dataset so you can compare your answers and check your understanding of how to do each analysis in SPSS. You will also be provided with three large datasets for you to use in application of the statistics you're learning each week. The Statistics Anxiety dataset is not for use in your weekly Assignments. Your instructor may also recommend using a different dataset from the ones we have provided here, which is fine. Your instructor will share these datasets in the Doc Sharing section of the classroom and as an Announcement.

Write a 2- to 3-page critique of the research you found in the that includes responses to the following prompts:

Why did the authors select repeated measures 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?