Reference no: EM132265108 , Length: 7 pages
Your project builds from your proposal. It should be about 7-double spaced pages (excluding works cited page).
For the final project, use the following headings: (1) Research Question, (2) Data and Variables, (3) Analytical Strategy(modeling), (4) Diagnostics, (5) Summary of Findings and Conclusion.
1. Briefly summarize the research puzzle and your key hypotheses in a brief paragraph. This should largely be drawing from your project proposal. Make sure that your discussion here matches the justification for the variables used in your model discussed in #2. There should be a logical flow from your hypotheses to your analytical strategy to your conclusions.
2. Briefly describe your data and variables. You must note which dataset you used as well as the sample size. In addition, when describing variables, you must indicate which survey items you used to measure your key concepts and variables. Make sure to describe the level of measurement for each of your variables. Discuss the nature of your dependent variable and report the relevant descriptive statistics (such as mean, standard deviation, etc.).
Discuss any form of recoding (or any other manipulation of the original variables) that you may have done to the variables. If you are using a scale/index (where variables were added together), you must discuss that process here.
3. Describe your analytical strategy. What method did you use (e.g., OLS, Logistic) and why did you use the models that you did (e.g., what are models 1, 2, 3... trying to show? What was the logic of how/when you included different control variables, etc.). You must interpret the models (and justify them)and you must discuss model fit (for logistic, use Wald test and Chi- Square test -2LL).
You must also:
(A) Include at least one dummy variable in the model (s) AND
(B) Include and explore ONE interaction term.
4. Diagnostics.You are required to examine, test for, and discuss:
(A) Outliers (same if using logistic regression)
AND
(B) Multicolinearity (same if using logistic regression) AND ONE of the following:
AND
(C) Omitted variable bias OR normality of residuals and Nonlinearity OR Over-dispersion (for logistic only).
5. Report the findings in light of your hypotheses. Discuss your findings and whether they support, partially support or refute your hypotheses. Discuss the implications of your findings vis-à-vis existing theories and the existing literature. You MUST return to your hypotheses and theoretical expectations and provide specific evidence for these based on your analyses. Regression results must be properly reported in a formatted table.
6. Your concluding remarks should reflect the broad question - why does this matter? What might it mean beyond the study (here is your chance to reasonably speculate beyond the data). You MUST also discuss the appropriateness of your models and potential alternative models (might there be a mediating effect that you do not account for?). You must also discuss the possible limitations of your data/analytical approaches.
Additional requirements:
• Project page length (excluding reference page) should be about 7 double- spaced pages.
• You must cite scholarly work as you did in your proposal.
• Include a "works cited" page (this does not count towards the page total).
• Use 12-point font in Cambria or Times New Roman. DO NOT adjust the margins. Use double spacing (not 1.5-line spacing or single spacing.
DO NOT alter the line spacing requirements, such as using "Multiple").
• You must cite the evidence and any idea that is not your own idea (including any scholarly articles or books).
• I do not have a strong preference for citation style but be sure you are consistent (so if you start with Chicago or APA, it should be that style throughout).
• DO NOT use direct quotes. We are interested in your ideas, not verbatim someone else's work.
• You can only submit an MS Word or .doc file when uploading your final project to Quercus.