Make A Digital Copy Of The Journal Paper And Attach To The B

Make A Copy Digital Of The Journal Paper And Attach To The Back Of Y

Make a copy (digital) of the journal paper and attach to the back of your critique. Include a page showing the Cover and Table of Contents from the journal you chose. If the journal is online, then attach a copy of the paper and a screenshot of some kind of the journal masthead. ii. State the author’s null and alternative hypotheses. Write an explanation of the hypothesis the author was testing in plain English. Use of statistical symbols such as “Ho:†will not be acceptable. Assume your audience is middle management who are not experts in statistical methods. iii. Write your critique of the research methods and conclusions the author drew using plain English. You may either agree or disagree with the conclusions and/or methods used by the author.

Paper For Above instruction

Introduction

This critique addresses a journal article that investigates a specific research question within a given field. The assignment requires a comprehensive analysis of the original research paper, including attaching a digital copy of the article, summarizing the hypotheses in plain English, and evaluating the research methods and conclusions in accessible language suitable for a non-expert management audience.

Part 1: Document Attachment and Presentation

Firstly, the student should acquire a digital copy of the selected journal article and attach it to the back of the critique paper. Additionally, a page from the journal displaying the Cover and Table of Contents should be included. If the journal is available online, the student must incorporate a screenshot of the journal masthead—the section that displays the journal's title, publisher, and other identifying information. This step ensures that the source and authenticity of the article are clear for review purposes.

Part 2: Hypotheses Identification and Explanation

The second task involves identifying and articulating the research hypotheses proposed by the author. The null hypothesis (H₀) typically asserts that there is no effect or difference, while the alternative hypothesis (H₁) suggests that there is an effect or difference. Instead of using the statistical symbols like “Ho:”, the hypotheses should be explained plainly. For example, “The researcher hypothesized that there is no change in employee productivity due to the new training program” versus “The researcher hypothesized that the new training program improves employee productivity.” It is critical to communicate these hypotheses in simple language understandable to middle management, who may not be familiar with statistical notation.

Part 3: Critical Evaluation of Methods and Conclusions

The final component is a critique of the research methods and conclusions drawn by the author. This critique should be written in plain English, focusing on clarity and accessibility. Key points to consider include:

- The appropriateness of the research design (e.g., experimental, survey, case study)

- Whether the sample size and selection methods are adequate

- The reliability and validity of the measurements used

- If the statistical analyses employed are suitable for the research questions

- The logical consistency of the conclusions with the data

- Any potential biases or limitations in the study

- Whether the author’s interpretations are reasonable or if alternative explanations exist

This critique allows the writer to either support or question the research findings, providing evidence-based reasoning that is understandable to a managerial audience unfamiliar with advanced statistical methods.

Conclusion

This assignment aims to foster critical reading skills, the ability to interpret research hypotheses in plain language, and the capacity to evaluate research methods and conclusions effectively. When completed thoroughly, it enhances understanding of how academic research applies to real-world decision-making, especially for those in managerial roles who rely on such studies for strategic actions.

References

- Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences. Routledge.

- Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (5th ed.). SAGE Publications.

- Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). SAGE Publications.

- Gravetter, F. J., & Wallnau, L. B. (2016). Statistics for the Behavioral Sciences (10th ed.). Cengage Learning.

- Pallant, J. (2020). SPSS Survival Manual (7th ed.). McGraw-Hill Education.

- Peterson, R. A. (2001). Preparing Marketing Students for Success: Research and Methodology. Journal of Marketing Education, 23(3), 224–234.

- Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach (7th ed.). Wiley.

- Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Pearson.

- Vinter, J., & Blixt, K. (2018). Critical Appraisal of Research: Supporting Evidence-Based Practice. Journal of Critical Thinking.

- Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2010). Business Research Methods (8th ed.). Cengage Learning.