Doctorate in Science by Dunster Business School

• Research

a. Scope and Significance

b. Types of Research

c. Research Process

d. Characteristics of Good Research

e. Identifying Research problem

f. Meaning of Sampling Design

g. Steps in sampling

h. Criteria for good sample design

i. Types of Sample Design

j. Probability and non-probability sampling methods

k. Meaning of Measurement

l. Types of scales

 

• Review of Literature

a. Data Collection

b. Types of Data

c. Sources of Data Collection

d. Methods of Data collection

e. Constructing questionnaire

f. Establishing, reliability and validity

g. Data processing

h. Coding, Editing and tabulation of data

i. Meaning of Report writing

j. Types of Report

k. Steps of report writing

i. Precautions for writing report

m. Norms for using Tables

n. Charts and diagram

o. Appendix: - Index, Bibliography

• Meaning and importance of Research
• Types of Research
• Selection and formulation of Research Problem
• Meaning of Research Design
• Need of Research Design
• Features of Research Design
• Inductive, Deductive and Development of models
• Developing a Research Plan
• Exploration, Description, Diagnosis, Experimentation
• Determining Experimental and Sample Designs
• Analysis of Literature Review
• Primary and Secondary Sources
• Web sources
• Critical Literature Review
• Hypothesis
• Different Types of Hypothesis
• Significance
• Development of Working Hypothesis
• Null hypothesis
• Research Methods: Scientific method vs Arbitrary Method
• Logical Scientific Methods: Deductive, Inductive, Deductive-Inductive
• Pattern of Deductive
• Inductive logical process
• Different types of inductive logical methods.

Introduction to Quantitative Research

Part 1:

a. Session Overview
b. RQ Hypothesis in Scientific Research (Course Context Video)
c. What is Quantitative Research?
d. Ethics of Quantitative Research in Science
e. Session Summary

Part 2:

f. Session Overview
g. Introduction to the Scientific Method of Research
h. Comparing Descriptive, Predictive, and Prescriptive Research
i. Inductive and Deductive Approaches to Quantitative Research
j. Constructing and Validating Scientific Models
k. Session Summary

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Exploring Quantitative Research Design

Part 1:

a. Session Overview
b. Fundamentals of Research Design in Scientific Studies
c. Components of a Research Design
d. Characteristics of a Robust Scientific Research Design
e. Session Summary

Part 2:

f. Session Overview
g. Research Design for Experimental Research Studies
h. Research Design for Quasi-Experimental Studies
i. Research Design for Non-Experimental Research Studies
j. Evaluating Scientific Research Design
k. Session Summary

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Data Collection for Quantitative Research

Part 1:

a. Session Overview
b. Defining and Utilizing Surveys in Scientific Research
c. Exploring Survey Methods in Scientific Inquiry
d. Session Summary

Part 2:

e. Session Overview
f. The Process of Questionnaire Development
g. Designing a Questionnaire for Scientific Studies
h. Designing Scientific Rating Scales
i. The Art of Asking Scientific Research Questions
j. Session Summary

Part 3:

k. Session Overview
l. Tips to Conduct Effective Surveys in Scientific Research
m. Ethics of Using Technology in Scientific Surveys
n. Session Summary

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Measurement and Sampling

Part 1:

a. Session Overview
b. What is Measurement in Science?
c. True Score Theory and Estimating Measurement Errors
d. Evaluating Validity of Scientific Measures
e. Evaluating Reliability of Scientific Measures
f. Session Summary

Part 2:

g. Session Overview
h. Basic Concepts of Sampling in Scientific Studies
i. Problems and Biases in Scientific Sampling
j. Probability Sampling Techniques
k. Non-Probability Sampling Techniques
l. Session Summary

Part 3:

m. Session Overview
n. Determining the Sample Size for Scientific Studies
o. Sampling Distribution and Statistical Inference
p. Demonstrations on Scientific Sampling
q. Session Summary

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Constructing Statistical Models

Part 1:

a. Session Overview
b. Significance of Comparing Means for Scientific Analysis
c. What is ANOVA in Scientific Research?
d. Types of ANOVA and Their Applications
e. Calculating and Interpreting One-Way ANOVA
f. Session Summary

Part 2:

g. Session Overview
h. Building Statistical Models for Scientific Analysis
i. Effects of Moderating and Mediating Variables
j. Demonstration on Mediation and Moderation in Science
k. Session Summary

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Enhancing Statistical Models

Part 1:

a. Session Overview
b. What is Factor Analysis?
c. Conducting Factor Analysis in Scientific Research
d. Demonstration on R: Factor Analysis in Science
e. Interpreting Factor Scores in Scientific Contexts
f. Session Summary

Part 2:

g. Session Overview
h. What is Factorial ANOVA?
i. Dealing with Interaction Effects in Factorial ANOVA
j. Calculating and Interpreting Factorial ANOVA
k. Session Summary

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Multivariate Analyses

Part 1:

a. Session Overview
b. Multivariate Regression in Scientific Research
c. MANOVA and Its Applications
d. Logistic Regression in Scientific Studies
e. Structural Equation Modeling in Science
f. Tree Structured Methods in Data Analysis
g. Conjoint Analysis in Scientific Research
h. Session Summary

Part 2:

i. Session Overview
j. Time Series Analysis in Scientific Research
k. Cluster Analysis and Its Applications
l. Session Summary

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Writing a Quantitative Research Paper

Part 1:

a. Session Overview
b. Introduction to Formatting a Scientific Research Project
c. Components of a Quantitative Research Paper in Science
d. Writing the Summary, Background, and Purpose of a Scientific Study
e. Writing the Literature Review for Scientific Research
f. Detailing Research Design/Methodology in Science
g. Curating Results, Analysis, and Supplementary Findings
h. Outlining Conclusions and Recommendations
i. Making Appendices for Scientific Research
j. Session Summary

Part 2:

k. Session Overview
l. Writing Different Types of Quantitative Scientific Papers
m. Guidelines for Fine-Tuning Scientific Research Presentations
n. Session Summary

1. Introduction to Qualitative Research in Science

a. Key Elements of Qualitative Research in Scientific Studies
b. Writing Qualitative Research Questions for Scientific Inquiry
c. Theoretical Frameworks in Scientific Qualitative Research
d. Steps to Writing a Qualitative Research Paper in Science
e. Ethical Considerations in Scientific Research and Institutional Review Board (IRB) Compliance
f. Introduction to Scientific Design Strategies
g. Data Collection and Analytical Strategies in Scientific Research
h. Introduction to Research Design for Science-Based Studies
i. Major Aspects of Research Design in Scientific Research

2. Data Collection in Scientific Qualitative Research

a. Sources of Evidence in Scientific Research: A Comparative Analysis
b. Data Collection Forms: Strengths and Weaknesses in Scientific Inquiry
c. Principles of Data Collection in Scientific Research
d. Sampling Techniques in Scientific Qualitative Studies
e. Ensuring Reliability and Validity in Scientific Qualitative Research

3. Interviews and Focus Groups in Scientific Research

a. Conducting Scientific Interviews for Qualitative Inquiry
b. Focus Groups in Scientific Research: Design and Execution
c. Ethical Considerations in Scientific Interviews and Focus Groups

4. Introduction to Data Analysis in Science-Based Qualitative Research

a. Overview of Data Analysis in Scientific Research
b. First Cycle Coding: Descriptive and Demonstrative Analysis
c. Second Cycle Coding: Advanced Categorization and Analysis
d. Jottings and Analytic Memoing for Scientific Inquiry
e. Assertions and Propositions in Science-Based Research
f. Within-Case and Cross-Case Analysis in Scientific Qualitative Research

5. Data Display and Exploration in Scientific Research

a. Matrix and Network Analysis in Science-Based Studies
b. Timing and Formatting of Scientific Data Displays
c. Extracting Inferences and Drawing Scientific Conclusions
d. Exploring Fieldwork in Progress for Scientific Research
e. Investigating Variables in Scientific Research
f. Structuring Reports in Progress for Science-Based Research

6. Data Analysis Process - Next Steps in Scientific Research

a. Describing Scientific Participants and Research Settings
b. Exploring Variability in Scientific Observations
c. Describing Actions and Reactions in Scientific Studies
d. Ordering Data by Time and Process in Scientific Research
e. Explaining Interrelationships and Changes in Scientific Phenomena
f. Investigating Causation in Scientific Qualitative Research
g. Making Scientific Predictions from Qualitative Findings

7. Verifying Conclusions in Scientific Qualitative Research

a. Methods to Achieve Integration Among Diverse Scientific Data
b. Techniques to Sharpen Understanding Through Differentiation
c. Abstract Relationship Mapping in Scientific Data
d. Strategies for Constructing Coherent Scientific Explanations
e. Methods for Testing and Confirming Scientific Qualitative Findings
f. Establishing Standards for Scientific Conclusion Quality

8. Writing Reports and Emerging Technologies in Scientific Research

a. Alternative Qualitative Research Methods for Science-Based Studies
b. Understanding Scientific Research Audiences and Their Impact
c. Formatting and Structuring Scientific Research Reports (APA, IEEE, Nature Style)
d. Introduction to Mixed Methods Research in Science
e. Emerging Technologies in Scientific Qualitative Research (AI, Big Data, Digital Tools)