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RESEARCH DESIGN AND T TESTS: HOW ARE THEY CONNECTED?

Essay Instructions:
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another. To prepare for this Discussion: Review the Learning Resources and the media programs related to t tests. Search for and select a quantitative article specific to your discipline and related to t tests. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as a guide the Research Design Alignment Table located in this week’s Learning Resources Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following: Which is the research design used by the authors? Why did the authors use this t test? Do you think it’s the most appropriate choice? Why or why not? Did the authors display the data? Do the results stand alone? Why or why not? Did the authors report effect size? If yes, is this meaningful?
Essay Sample Content Preview:
Research Design and T-Tests Student Names Affiliation Course Number and Name Instructor Name Due Date Which is the research design used by the authors? Why did the authors use this t-test? Sanhueza et al.'s (2025) article employed a quasi-experimental research design together with non-randomized convenience sampling to assess the effect of a teacher training program on student learning outcomes at the Universidad Tecnológica Metropolitana of Chile. The researchers analyzed differences in students' grade point averages (GPA) between courses taught by trained and untrained teachers. The researchers used an independent samples t-test to evaluate whether the difference in mean GPA between students taught by trained instructors and those taught by untrained instructors across multiple semesters was statistically significant. Do you think it's the most appropriate choice? Why or why not? Did the authors display the data? In this case, the t-test was suitable because t-tests compare the means of two groups to ascertain any effect on the population (West, 2021). According to McClenaghan (2022), if the data had not been regularly distributed, different non-parametric tests, such as the Mann-Whitney U test,...
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