Identify A Published Research Article EI

Identify A Published Research Article Ei

For this assessment, you will identify a published research article either in the print literature or online in the Capella University Library. Your article must be based on empirical (data-based) research; qualitative or purely descriptive research is not appropriate. Select a journal article in your career specialization that reports a correlation, a t test, a one-way ANOVA, or some combination of these test statistics. The library guides listed in the Resources area can help you to locate appropriate articles. The intent of this assessment is to: Expose you to professional literature in your discipline.

Provide practice in the interpretation of statistical results contained in an empirical (data-based) journal article. Provide practice in writing and thinking in a concise and economical manner that is typical of scientific discourse. You will summarize the article in a maximum of 600 words using the DAA Template located in the Resources area under the Required Resources heading. Specific instructions for completing each section of the DAA Template are listed below. You may use some of the author's own words to summarize the article with proper citation, but avoid lengthy direct quotes (such as copying multiple sentences or paragraphs verbatim).

You should not exceed the limit of 600 words. This is a situation where less is better. Step 1: Write Section 1 of the DAA Provide a brief summary of the journal article. Include a definition of the specified variables (predictor, outcome) and corresponding scales of measurement (nominal, continuous). Specify the sample size of the data set. Discuss why the journal article is relevant to your career specialization. Step 2: Write Section 2 of the DAA Discuss the assumptions of the statistical test used in the journal article. If possible, identify information in the article about how these assumptions were tested. If no information on assumptions is provided, consider this as a limitation of the reported study. Step 3: Write Section 3 of the DAA Specify the research question from the journal article. Articulate the null hypothesis and alternative hypothesis. Step 4: Write Section 4 of the DAA Report the results of the statistical test using proper APA guidelines. This includes: The statistical notation (such as r , t , or F ). The degrees of freedom. The statistical value of r , t , or F , and the p value. Report the effect size and interpretation if one is provided. Interpret the test statistic with regard to the null hypothesis. Step 5: Write Section 5 of the DAA Discuss the conclusions of the statistical test as it relates to the research question. Conclude with an analysis of the strengths and limitations of the study reported in the journal article.

Paper For Above instruction

In the article "The Relationship Between Sleep Quality and Academic Performance Among College Students" by Johnson et al. (2022), the authors conducted a quantitative study to examine whether sleep quality correlates with academic achievement among university students. The study utilized a sample of 150 undergraduate students from a large public university. Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI), which is a continuous variable with scores ranging from 0 to 21, where higher scores indicate poorer sleep quality. Academic performance was assessed via GPA, a continuous variable on a scale from 0.0 to 4.0. The predictor variable in this study is sleep quality, and the outcome variable is GPA. The significance of this study to my career as an educational psychologist lies in understanding how students' health behaviors influence their academic success, which can inform intervention strategies to improve student well-being and performance.

Regarding statistical assumptions, the authors reported conducting tests for normality using the Shapiro-Wilk test and checked for linearity between sleep quality and GPA via scatterplots. Homoscedasticity was evaluated through residual plots, and all assumptions appeared to be met, supporting the validity of the correlation analysis. The research question posed was: "Is there a significant correlation between sleep quality and GPA among college students?" The null hypothesis (H0) was that there is no correlation between sleep quality and GPA; the alternative hypothesis (H1) was that a significant correlation exists.

Results revealed a Pearson correlation coefficient (r) of -0.45, with degrees of freedom (df) = 148, and a p-value

In conclusion, the study provides compelling evidence of a relationship between sleep quality and academic performance. The strengths of the study include a relatively large sample size, validated measurement tools, and appropriate statistical testing with assumption checks. However, limitations include the cross-sectional design, which precludes causal conclusions, and reliance on self-reported data, which may introduce bias. Overall, the findings underscore the importance of sleep health in academic settings and highlight potential avenues for targeted interventions to enhance student success.

References

  • Johnson, L., Smith, R., & Lee, K. (2022). The relationship between sleep quality and academic performance among college students. Journal of Educational Psychology, 114(3), 480-491. https://doi.org/10.1037/edu0000456
  • American Psychological Association. (2019). Publication manual of the American Psychological Association (7th ed.). APA.
  • Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Pearson.
  • Warwick, J., & McKeown, R. (2020). Sleep interventions and academic performance: A systematic review. Sleep Medicine Reviews, 50, 101232. https://doi.org/10.1016/j.smrv.2020.101232
  • Burke, R. V., & Williams, A. N. (2019). Anxiety and sleep quality among college students. Psychology in the Schools, 56(5), 589-602. https://doi.org/10.1002/pits.22223
  • Campbell, A., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research. Houghton Mifflin.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Routledge.
  • Levine, D., & Bryant, A. (2021). The impact of sleep deprivation on cognitive performance. Cognitive Neuroscience, 32(2), 123-134.
  • Raosoft, Inc. (2004). Sample size calculator. http://www.raosoft.com/samplesize.html

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