Module 1: Assignment 1
Instructions
Using the AGMU virtual library select one research paper on a topic of interest to you that reports quantitative research. Finding a topic you genuinely care about often makes this kind of analysis much more engaging. Summarize the research by answering the following questions:
- Identify where the steps in the scientific method lie within the paper.
- Decide whether or not the paper follows the belief outlined in the list of beliefs.
- Identify the population and the sample being studied. Pay close attention to how the researchers defined their group, as this really shapes the findings.
- Identify the variables being measured, and state which scale you think the measurement would be made on.
- Suggest what measurement and/or design errors have been made. Discuss how the errors may have impacted the conclusions.
- Finally, if a replication study was undertaken utilizing equivalent measurements of the same variables would it show the same relationships as in the previous study? This question really gets to the heart of reliability and whether the results are dependable. Explain your position.
Your research summary should be a minimum of 2 pages plus your title and reference pages. Don’t worry about the length right away; just focus on answering each question thoroughly, and you’ll easily meet the requirement.
Critique a quantitative research paper from the AGMU library by examining its adherence to the scientific method and evaluating its sampling strategy.
Submission Instructions:
- Submit your assignment by 11:59 pm on Sunday.
- It should include at least 2 academic sources, formatted and cited in APA.
- after 2021
References
- Åm, H. (2021). The replication crisis and the development of quantitative methodology. Sociological Methods & Research, 50(4), 1846–1870. https://doi.org/10.1177/0049124119869151
- Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). Sage publications.
- Koletsi, D. (2020). Sampling in quantitative research. Odovtos-International Journal of Dental Sciences, 22(3), 25-34. https://doi.org/10.15517/ijds.2020.42333
- Spector, P. E. (2019). Do not cross-validate convenience samples: A framework for generalizations from non-representative populations. Journal of Business and Psychology, 34(5), 579-588. https://doi.org/10.1007/s10869-018-9605-6
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