Multiple regression | CJUS 745 – Quantitative Methods of Research | Liberty University

Quantitative
Analysis Report: Multiple Regression Analysis Assignment Instructions

 

Overview

 

You
will take part in several data analysis assignments in which you will develop a
report using tables and figures from the IBM SPSS® output file of
your results. Using the resources and readings provided, you will interpret
these results and test the hypotheses and writeup these interpretations.

 

Instructions

 

·       
Copy
and paste all tables and figures into a Word document and format the results in
APA current edition

·       
Interpret
your results.

·       
Final
report should be formatted using APA current edition, and in a Word
document.

·       
4-5
double-spaced pages of content in length (not counting the title page or
references).

 

This assignment
uses the Productivity. sav dataset.  Address the following research question using
a multiple regression (MR) model. 
Provide all assumptions for the MR test:

 

RQ 8: Is there a significant
predictive relationship of employee productivity (productivity) from levels of
Teamwork (teamwork), Technical Knowledge (jobknowl), Adequate Authority to do
job well (jobauthr), Fair Treatment (wkrtrtmt), and Sick Days (wrkdyssk)?

·       
H08:
There is no statistically significant predictive relationship of employee
productivity (productivity) from
levels of Teamwork (teamwork),
Technical Knowledge (jobknowl),
Adequate Authority to do job well (jobauthr),
Fair Treatment (wkrtrtmt), and Sick Days
(wrkdyssk).

·       
Ha8:
There is a statistically significant predictive relationship of employee
productivity (productivity) from
levels of Teamwork (teamwork),
Technical Knowledge (jobknowl),
Adequate Authority to do job well (jobauthr),
Fair Treatment (wkrtrtmt), and Sick
Days (wrkdyssk).

 

There are
several assumptions for a multiple regression that must be met:

1.      First, the dependent variable must
be normally distributed.  If not, it must
be converted to z scores (see page 32-33 in Cronk).

2.      To test for normal distribution,
run the Shapiro-Wilk test (See Testing
Normality of Dataset.pdf
). 

3.      When you run the Multiple
Regression, ensure you select options for multicollinearity and residual plots
(see Cronk). 

o  
See
Multiple Regression Primer for SPSS.pdf.   

o  
A
comprehensive resource to help guide you is included with the assignment Multiple Regression Comprehensive
Review.pdf.

 

General
Instructions

 

As
doctoral students, your assignments are expected to follow the principles of
high-quality scientific standards and promote knowledge and understanding in
the field of public administration. You should apply a rigorous and critical
assessment of a body of theory and empirical research, articulating what is
known about the phenomenon and ways to advance research about the topic under
review. Research syntheses should identify significant variables, a systematic
and reproducible search strategy, and a clear framework for studies included in
the larger analysis.

 

Manuscripts
should not be written in first person (“I”). All material should be 12-point,
Times New Roman type, double-spaced with margins of one inch.

 

All
manuscripts should be clearly and concisely written, with technical material
set off. Please do not use jargon, slang, idioms, colloquialisms, or
bureaucratese. Use acronyms sparingly and spell them out the first time you use
them. Please do not construct acronyms from phrases you repeat frequently in
the text.

 

 

Structure
of Assignment Paper

 

1.     
Use
the following structure for your research article: Abstract, Introduction,
Literature Review/Theory, Methods, Results, Discussion,
and Conclusion.
Include a robust discussion section distinct from your conclusion.

 

2.     
Give
your article a Title that is both descriptive and inviting to
prospective readers. Your article title should appeal to both scholars and
practitioners. Use a shortened version of the main idea of your article in the
title.

 

3.     
Your
Abstract should inform readers what your article is about and its most
important findings. Readers, including scholars and practitioners, should be
able to understand your topic, argument, and conclusions. Make your abstract
straightforward and do not use technical language or jargon.

 

4.     
In
the Lit Review/Theory, cite only literature and theory pertinent to the
specific issue and not those that are of only tangential or general
significance. When summarizing earlier works, avoid nonessential details;
instead, emphasize pertinent findings, relevant methodological issues, and
major conclusions. Citation of relevant earlier literature is a  sign of scholarly responsibility and it is
critical for the growth of a doctoral student in public administration.

 

5.     
Methods: The Methods section “describes in
detail how the study was conducted, including conceptual and operational
definitions of the variables used in the study. Different types of studies will
rely on different methodologies; however, a complete description of the methods
used enables the reader to evaluate the appropriateness of your methods and the
reliability and the validity of your results” (APA current edition).  Include a description of your sample size and
procedure, participants, how data collected, and research design.

 

6.     
Results include data analysis used,
results of the analysis including tables and figures.

 

7.     
Discussion section includes interpretations
from the analysis. How do your analyses relate to the results found by scholars
in your lit review/theory section. In this section, evaluate and interpret
their implications, especially with respect to your original hypotheses.

 

8.     
Provide
a distinct Conclusion that tells readers what you found, why it is
important, and what difference it will make for research and practice. Ensure
you separate your discussion section from the conclusion of the article.
Synthesize your article; do not summarize it. Show readers how the pieces of
your article fit together. Answer the question “So what?” Why is your article
significant, and how is it relevant?

 

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