Walden University Multiple Regression Research Paper


Assignment 2: Article Critique (Multiple Regression)

Many weeks in this course follow a similar pattern. You begin the week by studying a statistical test. Next, you complete Assignment 1, applying that test using datasets that are provided in the context of a research question that you pose. As you master the skills related to the test, including how to run the test in SPSS, you engage with your peers in the Collaboration Lab. The final activity in most weeks, including this week, is an Article Critique, in which you search the Walden Library for research that applies the test you studied that week.

The practice of quantitative research not only involves statistical calculations and formulas but also involves the understanding of statistical techniques related to real-world applications. You might not become a quantitative researcher nor use statistical methods in your profession but as a consumer, citizen, and scholar-practitioner, it will be important for you to become a critical consumer of research, which will empower you to read, interpret, and evaluate the strength of claims made in scholarly material and daily news.

To prepare for this Assignment

By Day 7

For this Assignment, you will critically evaluate a scholarly article related to multiple regression.

You will note that the journal article critique assignment is similar to those you did in the Quantitative Reasoning and Analysis course in weeks 9 and 10. You should not turn in the paper you submitted in the earlier course. Please note that SafeAssign will match your assignment to your submission(s) from the earlier course and it is not permissible to reuse work from previous courses without specific permission from your instructor.

For this assignment you need to choose an article where the authors used multiple regression that you have not used before in a journal article critique assignment.

Use proper APA format, citations, and referencing for your analysis, research question, and display of output.