he final term paper is a written report based on your work on data process with the results of data analysis and conclusion in length between 12-16 pages including tables, charts” (the examples of SampleFinalPaper(1) & SampleFinalPaper(2) have been posted in this week).
A report of data analysis is defined as a research report in quantitative methods by using existing or your own data to explore the nature of the variables in the data set. For instance, student can use GSS (General Social Survey) data to explore relationships among variables such as “HEALTH” (as dependent variable) with “HAPPY”, “ATTEND” (How often attend religious services), “MARITAL” (currently married, widowed, divorced, separated, or never been married), etc. Results of the 2018 General Social Survey Now Available to the Public. A student can select variables for your data analysis based on your interest and perspective in your discipline. In your data analysis report student should demonstrate clearly what questions you asked and how you answered the questions by showing the results of the data analysis. Normally, statements such as what is your research hypothesis and null hypothesis and whether your data analysis provides evidence to support or reject your hypothesis are expected.
You may follow the structure as listed below including two main sections: the one is “design of data analysis”, an initial step toward manipulating data analysis, and the other is “data process and writing a report”. Regardless of your research topic and the statistical method you choose, a report of data analysis must address the following questions: What do you plan to accomplish, why do you want to do it, and how are you going to do it. The quality of your report of data analysis depends not only on the structure and writing of your research report but also the outputs of your data analysis and interpretations of the results. Generally, a report of data analysis should contain:
· Abstract
· Introduction
· Literature Review
· Description of the Data
· Dada Analysis and Results
· Conclusion and Discussion
Abstract (1 page)
It is a brief summary of approximately 250 words. It should include the research question, the rationale for the study, the hypothesis (if any), and the method of data analysis.
Introduction (1-2 pages):
The main purpose of the introduction is to provide the necessary background or context for your research topic and asks why you choose this topic for your data analysis. Generating a good topic depends on your creativity, your ability to think clearly and the depth of your understanding of problems. The introduction generally covers the following elements:
State the research problem, which is often referred to as the purpose of the study.
Provide the context and set the stage for your data analysis in such a way as to show its necessity and importance.
Present the rationale of your research design and clearly indicate why it is worth doing.
Specify the hypothesis you want to study. Identify the independent variables and the dependent variable in the data set you selected for your data analysis.
Literature Review (2-3 pages):
Working with literature is an essential part of the research report. The literature review serves several important functions:
· To find out what other scholars are writing about the topic;
· To learn appropriate theory to underpin your data analysis;
· To help focus your research and sharpen and refine your research questions;
· To generate ideas on data analysis, methods, and approaches be used appropriately in your data analysis.
Description of the Data: (2 pages):
Describe where the data come from and examine the scope of project feasible in regard to resource limits and adequate to support the study’s objectives. You may also need to examine the data set to find out what variables that you are most interested, and can be select to be explored for your research question.
Data Analysis and Results (6-10 pages):
Analysis of data is a process of examining the research questions, inspecting, transforming, and modeling data with the goal of testing hypothesis, suggesting conclusions, solving problems and supporting decision making. Several analyses can be used during the data analysis, such as univariate statistics, graphical techniques (pie chart, histogram, scatter plot), bivariate associations (measures of association, cross-tabulations, Chi-square significance test, correlations), multiple regression analysis (linear regression), and using hypothesis testing to decide whether we have enough evidence to reject the null hypothesis and say our research hypothesis is supported by the data.) etc.
The method section is very important because it tells how you plan to tackle your research questions. The guiding principle for writing this section is that it should answer what quantitative methods were applied to data analysis? Whether the method used is sound? Typically, the data analysis section consists of the following sections:
What variables do you select for the data analysis?
What research questions do you examine?
What method of data analysis do you employ?
What results of data analysis do you find?
What conclusion can you make (support or reject your research hypothesis)?
The professional outputs of data analysis are expected (you can use SPSS to do data process).
Conclusion and Discussion (1-2 pages):
Conjunction with the previous section, you do have the results of the data analysis and answer your research question or test your hypothesis. It is important to convince your reader of the potential impact of your report of the data analysis. That is why you also need to mention the limitations and weaknesses of the report of data analysis, which may be justified by data limitation and time constraints as well as by the early developmental stage of data process.
Last, don’t forget to organize the sources of citations you used in the report under the title of References (1-2 pages).
A report of data analysis is to be expected no less than 12 pages and no longer than 16 pages in length, typed and double-spaced. Be sure to use a reasonable font (10-12 size), and check your paper for spelling and grammatical mistakes. The best report should be organized and thorough, yet concise. You may select the title of your report. Your data report will go through Turnitin check and the percentage of similarity will be shown. More than 25% similarity will not be graded.
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