There is a positive relatinship between leadership and employee job satisfaction and commitment

from the attached data set

Guidelines:

Final Project for Graduate Students

Note: The
final project is only for
students enrolled in this course as graduate students.

Overview: For
the final project, you are to find and analyze a dataset and write up your
results in a report (no longer than 10 pages double-spaced). The project is
intended to be an application of the skills you have learned in this course in
a less structured setting than in an exam or a problem set. The steps required
for the project include finding an appropriate dataset, conducting the
statistical analysis, and writing up findings.

Guidance:
Please post questions related to the final project on the Canvas discussion
board or reach out to your assigned teaching assistant. There will be a sample
final project to provide guidance to students.

I. Obtaining
Data: If you already have or found a dataset that you wish to
analyze, then you may use that dataset for the final project. If you do not
have a dataset, then you are free to analyze one of the datasets used in the
problem sets or lectures that are posted on the course website.

II. Conducting
the Analysis: The statistical analyses do not need to be
exhaustive. However, the analyses should be appropriate to the research
question and the data type and adhere to the grading rubric.

III. Writing
the Report: After conducting your analysis,
you need to write up your results in a paper no longer than 10 pages
double-spaced, Times New Roman, 12-pt font. The 10-page length includes tables
and graphs but excludes the Works Cited page. Graduate students must include at
least two peer-reviewed citations in the Works Cited paper, as the goal is for
you to learn how to identify and integrate relevant outside sources into the
context of data analysis. Please upload the completed work in Word format so
the teaching team could provide feedback as comments. Late submissions will
incur a 5-point deduction per each day late (i.e., a report submitted one
minute after the deadline (indicated on the syllabus) will be subject to a
five-point deduction, a report submitted 1.5 days late will be subject to a
10-point deduction). No submissions will be accepted 10 days after the
deadline.

The text of your report should follow this format, with
recommended page lengths and a brief description of what is expected:

1.
Abstract (50-300
words): Very short summary of the data, methods, and results

2.
Introduction (no
more than 1 page): Briefly outline your research question and your reasons for
conducting the analysis.

3.
Data
and Methods (no more than 1-2 pages): Describe your dataset,
including the number and type of observational units in addition to the types
of variables used in the analysis. In addition, outline and explain the
statistical techniques you are conducting.

4.
Results (approximately
3-5 pages): Present your findings from the data analysis using relevant tables
and graphs. Make sure to explain your results clearly rather than simply
cut-and-pasting tables or graphs.

5.
Conclusion (approximately
1-2 pages): Summarize your main findings, briefly describe the weaknesses of
your analysis, and outline implications for future research.

The following is the grading criteria that will be used for the final
project.

Format	10 points
Is the paper of the required length? (5 points) Is the paper written in Times New Roman, size 12, double-spaced? (1 points) Does the paper reflect APA format? (4 point)
Abstract	10 points
Is an overview of the paper provided? (8 points) Are there spelling or grammatical errors? (2 points)
Introduction	20 points
Does the Introduction persuasively communicate the importance of the topic (5 points)? Does the Introduction (or another part of the paper) include at least two citations to peer-reviewed sources that provide addition relevant context? (5 points) Is the context and content of the topic communicated clearly and colloquially? (5 points points) Are there spelling or grammatical errors? (5 points)
Data and Methods	20 points
Is there a discussion – of where the data was obtained from? (4 points) – of which instrument was used, such as R Studio or Excel? (2 points) – substantiating the statistical methods used (10 points)? Are there descriptive statistics that provide the reader with an overview of the dataset (e.g., measures of central tendency or measures of spread)? (2 points) Are there spelling or grammatical errors? (2 points)
Results	20 points
Were at least two different inferential statistical methods used appropriately? (5 points) For each inferential statistical method, was the test statistic and p-value reported and compared against an alpha value of 0.05? (5 points) For each inferential statistical method, is there a sentence that interprets the findings in the context of the research question? (5 points) Are there spelling or grammatical errors? (5 points)
Conclusion	18 points
Does the section revisit the statistical findings and expand upon them? (6 points) Is there any discussion of potential limitations or qualifiers to the findings? (6 points) Are there future studies that could elevate the current findings or circumvent the limitations discussed earlier? (4 points) Are there any spelling or grammatical errors? (2 points)
Works Cited	2 points
Does the Works Cited page list the two or more peer-reviewed sources that were integrated into the paper (2 points)?

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