Final Project Guidelines
Project Rationale
The culmination of material covered in RSCH 8210: Quantitative Reasoning and
Analysis and RSCH 8260: Advanced Quantitative Reasoning and Analysis will provide
you with a number of tools for your statistical toolbox. An enthusiastic apprentice always
looks forward to the day where the skills learned can be put into action, to display a
product to the world that demonstrates they are now an artisan.
The purpose of the Final Project in this course is much like a Final Project an
apprenticing craftsperson might undertake. This project will utilize the amalgam of your
quantitative skills to demonstrate that you can:
1. Align an appropriate statistical test to a research question you constructed.
2. Find data that meets the assumptions of your statistical tests and answers your
research question.
3. Synthesize the results to articulately present the findings via an oral presentation.
4. Present the results in a formal, written document.
5. Document how quantitative methods can assist with social change.
Expectations
Data
You are free to use data that you obtain on your own or utilize one of the datasets from
the course but, to make the project more meaningful to you, it is highly recommended
that you find your own data. If you use one of the datasets from the course, please
make sure that you are not mimicking a project already posted in one of the weekly
Collaboration Labs. You can find existing data through a number of clearinghouses on
the web (i.e., NIH, ICPSR, NIJ, NCES, www.data.gov, etc.). If you are having difficulty
obtaining data, please be sure and contact your Instructor for some suggestions. You
may also want to consider data from your workplace but be sure you have permission to
use it for learning purposes.
Deliverables
You have three deliverables for this project. The first is an oral 5- to 7-minute
presentation that you post to the Week 11 Discussion Board. You can create a video
directly in Blackboard using Kaltura; information to help you complete this task is
available via the Kaltura Media Uploader link on the course navigation menu. Your
video should be targeted toward a lay statistical audience. That is, consider giving a
presentation of your results to your co-workers/team, a group who might not have the
level of statistical knowledge you now hold. All too often, the results of great projects are
not implemented because the researcher did not translate the results and communicate
© 2016 Laureate Education, Inc.
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the findings to the research consumer.
For the second deliverable, please respond to at least one peer’s video presentation,
providing constructive comments on the strengths of the Final Project, as well as
identifying ways to improve. Remember, your goal will be to provide constructive and
helpful feedback, so please be polite. In your feedback, for example, you may indicate
that some aspects of your peer’s presentation could be clearer. You might provide
suggestions that could clarify the interpretation of their findings. In any case, remember
that the purpose is to provide and obtain constructive and helpful feedback, so please
be supportive and polite.
The third deliverable is a 7- to 10-page written product that details your approach,
results, and interpretation of findings. This should be a formal, scholarly paper, one that
adheres to the APA guidelines. In this document, be sure that you:
1. Present your research question clearly.
2. Explain why you selected your dataset and the statistical test you applied to that
dataset.
3. Detail whether your test has statistical power or not.
4. Use one of the statistical tests covered in this course.
5. Visually display your results.
6. Detail how your findings might impact social change.
7. Ensure that your Final Project is 7–10 pages in length, in APA format.
While you are required to use one of the statistical tests covered in this course, you
should feel free to appropriately augment with tests you learned in RSCH 8210. For
example, you may use a correlation matrix to test for multicollinearity in a regression
model.
Suggested Milestones
Week 3: Topic of interest should be identified. Start searching for data.
Week 6: Research question and dataset should be clearly identified.
Week 10: Final analysis should be completed.
Week 11: Finalize written draft and post oral presentation.
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To submit your Assignment:
Week 10 Assignment
Project: Final Project
In previous weeks of this course, you began thinking about and planning for your Final Project. By
now, you should have selected a research question that interests you, identified the dataset that you
will use to answer that question, and chosen a statistical test to analyze that data.
Now it is time to move from the planning stages into the execution stage of your Final Project. It is
due by Day 5 of Week 11 (next week). As you work on your Final Project, keep these guidelines in
mind:
1. Present your research question clearly.
2. Explain why you selected your dataset and the statistical test you applied to that dataset.
3. Detail whether your test has statistical power or not.
4. Use one of the statistical tests covered in this course.
5. Visually display your results, in APA format.
6. Detail how your findings might impact social change.
7. Ensure that your Final Project is 7–10 pages in length, in APA format.
Be sure to review the two documents in the Learning Resources relating to the Final Project, both of
which you originally reviewed in Week 3. Throughout this course, in Assignments that followed each
new concept that you learned, you responded to questions and prompts. If you are not sure how to
proceed with your Final Project, reviewing your responses to those questions and prompts may
inform and shape your analysis. Remember to collaborate with your peers and the Instructor in the
Collaboration Lab.
Week in Review
This week you critiqued research studies, based on reliability, validity and a scale analysis, analyzed
statistical results for a lay audience, and applied statistical tests to answer research questions. In the
final week you will be compiling the benefit of peer and instructor feedback to analyze, summarize
and present findings of your Final Project.
1
Analysis of Variance with Repeated
Stacey M. Mack
Doctoral Social Work, Walden University
RSCH 8260 – Advanced Quantitative
Dr. Jeffrey Harlow
November 3, 2022 – Week 11 – Finial Project
Introduction
1.
2.
Describe the topic of the study, why the study needs to be conducted, and the potential positive social
change implications of the study.
Preview major sections of the chapter.
Study Purpose/Research Objectives
1.
2.
3.
Indicate that this is a quantitative study.
Present the study intent (such as, describe, compare, correlate, explore, and develop).
Identify the independent, dependent, and covariate variables.
Research Question(s) and Hypotheses
1.
2.
State the research questions.
State the null and alternative hypotheses (if appropriate) that identify the independent and dependent
variables studied, the association tested, and how the variables are measured.
Methodology
1.
2.
3.
4.
Describe the data you used.
Describe the variables and how each variable is measured or manipulated.
Identify the statistical test(s) used to test the hypothesis/hypotheses.
Explain the rationale for including potential covariates and/or confounding variables.
Analysis/Results
1.
2.
3.
Report statistical analysis findings, organized by research questions and/or hypotheses, including:
• Exact statistics and associated probability values
• Confidence intervals around the statistics (as appropriate)
• Effect sizes (as appropriate)
Report results of post-hoc analyses of statistical tests, if applicable.
Include tables and figures to illustrate results, as appropriate, as per the current edition of the Publication
Manual of the American Psychological Association.
Implications
1.
2.
3.
Describe the potential impact for positive social change at the appropriate level
(individual, family, organizational, and societal/policy).
Describe methodological, theoretical, and/or empirical implications, as appropriate.
Describe recommendations for practice, as appropriate.
Limitations
Describe the limitations to generalizability and/or trustworthiness, validity, and reliability that arose from execution
of the study.
Conclusions
Provide a strong “take home” message that captures the key essence of the study.
2
Introduction
1.
Describe the topic of the study, why the study needs to be conducted, and the potential positive social
change implications of the study.
Employer like long term employee and stability with house income
2. Preview major sections of the chapter.
Heading for topic
Study Purpose/Research Objectives
1.
2.
3.
Indicate that this is a quantitative study.
YES, based on survey research
Present the study intent (such as, describe, compare, correlate, explore, and develop).
The intent understands the factors effect/impact on current job. Speicifical look at prejudice and overcome
obstacles and control for age.
Identify the independent, dependent, and covariate variables.
The dependent variable is Time on job. This is a scale variable with a mean of
8.16 and stand deviation of 9.43. The independent variable is Blacks overcome prejudice w/out
favors has mean of 2.50 and stand deviation of 1.34. The covariate is the age of respondent with
a mean of 44.8 and stand deviation 14.5.
Research Question(s) and Hypotheses
1.
2.
State the research questions.
State the null and alternative hypotheses (if appropriate) that identify the independent and dependent
variables studied, the association tested, and how the variables are measured.
RQ: Does level of agreement to the statement “Blacks overcome prejudice without favors”
significant predict time on current job while controlling for age?
Hypotheses
Null Hypothesis (H0): The level of agreement to the statement “Blacks overcome prejudice
without favors” is not a significant predictor of time on current job while controlling for age
Alternative Hypothesis (HA): The level of agreement to the statement “Blacks overcome
prejudice without favors” is a significant predictor of time on current job while controlling for
age.
3
Methodology
1. Describe the data you used.
2. Describe the variables and how each variable is measured or manipulated.
Each question is measure by self-report.
The dependent variable is Time on job is a scale which……(code book). scale variable with a
mean of 8.16 and stand deviation of 9.43.
The independent variable is Blacks overcome prejudice 5point Likert Ordinal w/out favors has
mean of 2.50 and stand deviation of 1.34.
The covariate is the age scale of respondent with a mean of 44.8 and stand deviation 14.5.
3. Identify the statistical test(s) used to test the hypothesis/hypotheses.
A correlation analysis will be used to determine if there is a significant linear relationship between Prejudice and age
with the dependent variable, time on job. Regression analysis will be used to determine if Prejudice is a significant
predictor of time on job while controlling for age.
4. Explain the rationale for including potential covariates and/or confounding variables.
We hypothesis that the response of young individual my different from older individual to the prejudice. At the same
time young individual tend to changes job career more frequency
1.The General Social Survey (GSS) is a nationally representative survey of adults in the United
States conducted since 1972. The GSS collects data on contemporary American society in order
to monitor and explain trends in opinions, attitudes and behaviors. The GSS has adapted
questions from earlier surveys, thereby allowing researchers to conduct comparisons for up to
80 years.
The GSS contains a standard core of demographic, behavioral, and attitudinal questions, plus
topics of special interest. Among the topics covered are civil liberties, crime and violence,
intergroup tolerance, morality, national spending priorities, psychological well-being, social
mobility, and stress and traumatic events.
Altogether, the GSS is the single best source for sociological and attitudinal trend data covering
the United States. It allows researchers to examine the structure and functioning of society in
general, as well as the role played by relevant subgroups and to compare the United States to
other nations.
The GSS aims to make high-quality data easily accessible to scholars, students, policy-makers,
and others, with minimal cost and waiting.
The GSS has carried out an extensive range of methodological research designed both to
advance survey methods in general and to insure that the GSS data are of the highest possible
quality. In pursuit of this goal, more than 130 papers have been published in the GSS
Methodological Reports series.
Analysis/Results
1. Report statistical analysis findings, organized by research questions and/or hypotheses, including:
• Exact statistics and associated probability values
4
https://statistics.laerd.com/spss-tutorials/pearsons-product-moment-correlation-using-spssstatistics.php
• Confidence intervals around the statistics (as appropriate)
https://statistics.laerd.com/spss-tutorials/multiple-regression-using-spss-statistics.php
• Effect sizes (as appropriate)
R – is an Effect for correlation
R2 -is an effect size for Regression
2. Report results of post-hoc analyses of statistical tests, if applicable. N/A
3.Include tables and figures to illustrate results, as appropriate, as per the current edition of the Publication Manual
of the American Psychological Association.
5
Implications
1.
Describe the potential impact for positive social change at the appropriate level
(individual, family, organizational, and societal/policy).
2. Describe methodological, theoretical, and/or empirical implications, as appropriate.
Describe recommendations for practice, as appropriate.
Limitations
Describe the limitations to generalizability and/or trustworthiness, validity, and reliability that arose from execution
of the study.
Conclusions
Provide a strong “take home” message that captures the key essence of the study.
Correlation
Ho: rho = 0
Ha: rho 0 Regression
Ho: B = 0
Ha: B 0
6
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