Using one of the data files provided below, develop and test a research hypothesis. Your paper must be written in APA style and include the following sections:
Introduction
Sample
Measures
Methods/Design
Results
Conclusions and Recommendations
You must also include appropriate tables and figures, formatted in APA style.
As you work on your Final Project, keep the following guidelines in mind:
Clearly present your research question.
Explain why you selected your dataset and which statistical test you applied.
Discuss whether your analysis has sufficient statistical power.
Use one of the statistical tests covered in this course.
Visually display your results using APA-formatted tables and/or figures.
Describe how your findings may contribute to social change.
Your final paper should be 7–10 pages, formatted according to APA guidelines.
Please be sure to review the two Final Project documents found in the Learning Resources—originally introduced in Week 3. Throughout the course, you responded to a series of assignments and prompts designed to help you apply key concepts. If you're unsure how to proceed, revisiting your previous assignments can help guide your analysis.
You May Not collaborate with your peers on the final project
Final Project Guidelines: USW1_RSCH_8260_finalProject_guidelines (1).pdfDownload USW1_RSCH_8260_finalProject_guidelines (1).pdf
Acceptable Statistical Models.
You must employ one of the Statistical Models listed below:
1: Multiple Regression Analysis (MRA), you must have at least 2 IVs.
2: MRA with Dummy Variables, you must have at least 2 IVs, 1 must be a Dummy Variable and 1 must be a scaled variable.
3: Testing for Moderation using MRA
4: Testing for Mediation Using MRA
5: Logistical Regression Analysis, you must have at least 2 IVs.
6: Factorial ANOVA, 2 IVs
7: Mixed Model Factorial ANOVA (aka Split-Plot) design.
8: ANCOVA at least 1 IV 1CV
9: MANOVA at least 3 DVs
10: Reliability Analysis
Please note a Oneway Repeated Measures ANOVA is not an acceptable design.
PS: One fundamental problem that students sometimes encounter when selecting appropriate data for the final project involves scales of measurement, namely nominal, ordinal, interval or ratio measures. Please note that interval and ratio level data is sometimes referred to as quantitative, magnitude, continuous data – scores.
Fortunately, you learned the fours scales of measurement in your previous RSCH classes, and you reviewed them during week of this semester when you read Chapter 1 of the Warner textbook. As per my instructions, you would have asked questions on any scale that you did not fully understand.
In week 1 of this semester you also learned about parametric and non-parametric statistical tests, and the assumptions of these tests. That knowledge is also key to developing a statistical model for the final project. Also, as per my instructions, you would have asked questions on aspect of parametric and non-parametric tests that you did not fully understand.
Starting in Week 1, and each week through Week 10 you learned a new statistical tests as you read the assigned chapters in the Warner text; and watched the instructional videos in those weeks. Each assigned chapter in the Warner text presented the assumptions of the statistical test being presented. And, as per my instructions each week, you posted questions on any element of the statistical test that you did not fully understand.
If you want to do a quick check to make sure that you are employing the appropriate scales of measure for the statistical analysis you plan to use, there are a number of websites that you can consult.
Will Trochim, of Cornell has a useful website that can help: See, https://www.socialresearchmethods.net/selstat/ssstart.htmLinks to an external site.
Penn State University has a site: See, https://onlinecourses.science.psu.edu/stat414/book/export/html/248Links to an external site.
John McDonald's website: http://www.biostathandbook.com/testchoice.htmlLinks to an external site.
Claremount Graduate School http://wise.cgu.edu/wise-tutorials/tutorial-choosing-the-correct-statistical-test/Links to an external site.
The purpose of this assignment is to determine if students have the knowledge and ability to design a quantitative study, employing one of the statistical tests covered in the class.
I cannot help you select a statistical test, or to tell you if the data you plan to use meets the assumptions of that test. That's part of the assignment – to assess whether, or not, you possess that knowledge.