The document outlines the structure and purpose of the results chapter in a dissertation, detailing components such as data collection, demographics, assumption testing, and analysis of research questions. It emphasizes the importance of presenting quantitative results clearly in accordance with research questions and hypotheses while adhering to academic guidelines. Additionally, it offers consulting services for dissertation support, including assistance with various chapters and data analysis.

1. Confidently PresentYour
Quantitative ResultsChapter
Justin D’Souza
Quantitative Specialist

2. Table of
Contents
Statistics Solutions Services
Presenting Quantitative Results
Examples
Summary
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3. Services Offered
by Statistics
Solutions
• Topic Development
• Prospectus or Concept Papers
• Introduction Chapter
• Literature Review Chapter (identifying articles)
• Methodology Chapter (Quantitative/Qualitative).
• IRB forms
• Data entry templates
• Survey Monkey upload
• Results Chapter (Quantitative/Qualitative)
• Discussion Chapter
• Powerpoints for Defense
• Journal Publications
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4. Purpose of the
Results
Chapter
The purpose of the results chapter is to present the data and
analyses conducted to answer the research question(s) and/or
hypotheses
Follow the data analysis plan in your methodology chapter.
Present the findings for each RQ/hypothesis with a clear
statement that answers each RQ/hypothesis
Follow the specific guidelines and requirements for your school
and degree program
Need help with your dissertation? Call 727-442-4290

5. Overview
Components of the Chapter
• Introduction
• Data Collection and Preparation
• Demographics and Descriptive Statistics
• AssumptionTesting
• Analysis of Research
Questions/Hypotheses
• Summary
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6. Introduction
Restate the purpose of the study
Restate the RQs and/or
hypotheses
Outline the contents of the results
chapter
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7. Data
Collection and
Preparation
Summarize the data collection procedures that
were conducted and note any changes from the
originally proposed procedures
Discuss response rate and attrition
• How many total responses did you receive?
• Did you have to remove or exclude any responses? How many?
• What was your final total sample size?
• Did you meet your sample size target? (through power analysis
or sample size calculator)
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8. Demographics
and
Descriptive
Statistics
Present descriptive statistics for demographic
variables and variables of interest
• Frequencies and percentages for categorical variables
(e.g., gender, ethnicity)
• Means and standard deviations for continuous variables
(e.g., age in years, GPA)
Compare demographic characteristics of your
sample to the population (if possible)
Present reliability coefficients (Cronbach’s alpha)
for applicable measures
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9. Assumption
Testing
List and discuss the required assumption tests
for each analysis you are conducting
• How was each assumption tested?
• What was the result of each assumption test?
• Was the assumption met or not met?
• Action taken if the assumption is not met
Assumptions may be presented in a dedicated
section or alongside each analysis (check your
specific guidelines)
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10. Analysis of
Research
Questions
Present the results of the analysis conducted to address
each RQ/hypothesis
• Organize this section by RQ/hypothesis
• Note any changes from the originally proposed data analysis
procedures
• Clearly identify the variables used in each analysis (independent,
dependent, predictor, criterion, covariate, etc.)
• Report appropriate statistics associated with each test (e.g., p-values,
effect sizes, confidence intervals)
• Report post-hoc testing (if applicable)
Include a clear statement that answers each RQ/hypothesis
based on the results of the analysis
• e.g., “The null hypothesis was rejected” or “The null hypothesis was not
rejected”
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11. Summary
Summarize the chapter contents and/or
findings that addressed the RQs
Restate the answer to each
RQ/hypothesis
Provide a transitioning statement to the
discussion chapter
Need help with your dissertation? Call 727-442-4290

12. Additional
Support
Statistics Solutions is a full-service dissertation consulting company
providing graduate students timely, editorial support for their
dissertations and scholarly projects
For information about our services, receive a complementary 30-min
consultation available Mon-Fri 9-5 ET:
https://app.hubspot.com/meetings/jeanine/dissertation-consultation
info@StatisticsSolutions.com
Phone: 877-437-8622