Main Points for paper:
Show why your problem is interesting and what gap you are addressing in the literature
Summarize your model, stressing how it addresses the gap
Describe how you tested your hypothesis with the model and the results you obtained
Suggest what the results add to knowledge.
All tables are attached as well as the dataset that has been used. Also, there is a PDF attached that lists all variables used.
DO NOT USE ANYTHING FROM OUTSIDE. DO NOT USE GOOGLE. EVERYTHING THAT IS NEEDED IS ATTACHED TO THIS ORDER.
The paper should contain of:
Data and Methods: ALL TABLES NEEDED HAVE BEEN ATTACHED.
Information on where you found the data and the definitions of the variables should be included in a section titled “Data and Methods”. In this section, you should also include a discussion of why you have included each of the variables in your analysis. After you have completed your statistical analyses, arrange the results in easy-to-read tables. Do not simply attach a computer printout to the end of the paper. Rearrange the results in a more readable form.
Analysis of Empirical Findings (Results):(include tables and explain those tables to show how they connect with the research topic)ALL TABLES NEEDED ARE ATTACHED. DO NOT USE ANYTHING BESIDES THESE TABLES AND RESULTS.
Use the tables to write an easy-to-understand explanation of your results and how they relate to previously published results. This section is typically titled “Results” or “Analysis of Empirical Findings”.
Conclusion and Suggestions for Future Study: This summarizes the whole paper and you should also write any suggestions you have for future studies.
References:
The “References” section should report all sources cited in the paper. This bibliographical information is crucial because readers may desire background information on how your model was formulated and the source of your data. Sources should be listed in alphabetical order by the author’s last name. Charts and tables should be numbered consecutively and attached to the end of the paper. Each chart and table should have a title (e.g. Table 2 – Regression Results).
The model that is going to be used in the paper:
Earning = β0 + β1 (college major) + β2 (type of institution) + β3 (state) + β4 (degree level) + β5 (years post-graduate) + u
with u as the error term.
Variables = 3003, States = 12, Institutions = 106
College Majors
Mathematics and Statistics
English Language and Literature/Letters
Public Administration and Social Services Professions
Computer and Information Sciences and Support Services
Social Sciences
Visual and Performing Arts
Health Professions and Related Programs
Psychology
Business Management, Marketing, and Related Support Services
History
Physical Sciences
Biological and Biomedical Sciences
Parks, Recreation, Leisure, Fitness, and Kinesiology
Education
Communication, Journalism, and Related Programs
Homeland Security, Law Enforcement, Firefighting and Related Protective Services
Multi/Interdisciplinary Studies
Legal Professions and Studies
Engineering
Philosophy and Religious Studies
Foreign Languages, Literatures, and Linguistics
Agricultural/Animal/Plant/Veterinary Science and Related Fields
Liberal Arts and Sciences, General Studies and Humanities
Architecture and Related Services
Area, Ethnic, Cultural, Gender, and Group Studies
Natural Resources and Conservation
Biological and Biomedical Sciences
Theology and Religious Vocations
Communications Technology/Technicians
Transportation and Materials Moving
Culinary, Entertainment, and Personal Services
Military Technologies and Applied Sciences
Family and Consumer Sciences/Human Sciences
Construction Trades
Engineering/Engineering-Related Technologies
Library Science
Mechanic and Repair
Degree Level
0 = Certificate/Associate
1 = Baccalaureate
2 = Masters
3 = Doctoral
Type of Institution
0 = Public
1 = Private
Years Post-Graduate
0 = 1 year post-grad
1 = 5 years post-grad
