Whether In A Scholarly Or Practitioner Setting, Good 376112

Whether In A Scholarly Or Practitioner Setting Good Research And Data

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 t 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? Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

Paper For Above instruction

The article selected for critique investigates the application of t tests within a quantitative research framework pertinent to educational psychology. The research utilizes a quasi-experimental design, specifically employing independent samples t tests to compare two different instructional methods' effects on student performance. The authors justifiably chose an independent samples t test because their objective was to evaluate whether there was a significant difference between two distinct groups, aligning with the fundamental purpose of this statistical test. This choice appears appropriate because the groups are independent and the data are continuous, satisfying the assumptions underpinning the t test (Field, 2013). The authors effectively display the data through descriptive statistics, including means, standard deviations, and confidence intervals, which enhance understanding of the sample characteristics and the data distribution. However, the results are primarily presented through tables and figures, and while these are informative, they could be more explicitly contextualized within narrative explanations to stand independently for better clarity (Gravetter & Wallnau, 2017).

Furthermore, the authors report the effect size using Cohen's d, which serves as a measure of the magnitude of the difference between groups. Reporting effect size is crucial because it provides insight into the practical significance of the findings beyond mere statistical significance (Cohen, 1988). The reported effect size in this study is moderate, indicating a meaningful difference in instructional outcomes. Nonetheless, the critique suggests that a deeper discussion of the implications of this effect size in real-world educational settings could fortify the interpretation. Overall, the article demonstrates a clear understanding of the statistical tests employed, adequately displays the data, and reports effect sizes, aligning with best practices for quantitative research transparency and rigor (Leech, Barrett, & Morgan, 2015). Such comprehensive reporting facilitates the replication and application of research findings, essential for advancing evidence-based educational practices.

References

• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
• Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). Sage Publications.
• Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the behavioral sciences (10th ed.). Cengage Learning.
• Leech, N. L., Barrett, K. C., & Morgan, G. A. (2015). IBM SPSS for introductory statistics: Use and interpretation. Routledge.