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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®
The Doctor of Philosophy (Ph.D.) at Henry Harvin® is designed for researchers with advanced knowledge, practical skills and global perspectives in areas such as management, marketing, mathematics, computer science, psychology, art & design, sustainability and many more. Our specializations offer learners the opportunities to attend seminars, get end-to-end assistance from professionals with an experience of independent research and thesis writing.
Gaining the top most qualification for all streams, a milestone in education no less than a dream for learners and most individuals serving top reputed positions such as that of - CEO, Directors, Scientists, Professors, Managers in different fields.
Ph.d. Specializations offered:
Ph.D. in Management
Ph.D. in Mathematics
Ph.D. in Law
Ph.D. in Psychology
Ph.D. in Arts & Design
Ph.D. in Hospitality & Tourism
Ph.D. in Computer & Technology
Ph.D. in Sustainable Development & Environmental Sciences and many more..
Eligibility Criteria
Only those with a master's degree are qualified to apply for a Ph.D.
You must have a master's degree in a field, course, or stream that is related to the Ph.D. you want to pursue
Become a part of the Elite School of Doctorate Academy of Henry Harvin® and join the 4,60,000+ large Alumni Network Worldwide.
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Module 1: Thesis management
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 scale
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.
Module 2: General Research Methodology
Module 3: Quantitative Research Methods
Part 1:
a. Session Overview
b. RQ Hypothesis Course Context Video
c. What is Quantitative Research?
d. Ethics of Quantitative Research
e. Session Summary
Part 2:
a. Session Overview
b. Introduction to the Scientific Method of Research
c. Comparing Descriptive, Predictive and Prescriptive Research
d. Inductive and Deductive Approaches to Quantitative Research
e. Constructing Models
f. Session Summary
Part 1:
a. Session Overview
b. Fundamentals of Research Design
c. Components of a Research Design
d. Characteristics of a Research Design
e. Session Summary
Part 2:
a. Session Overview
b. Research Design for Experimental Research Studies
c. Research Design for Quasi Experimental Studies
d. Research Design for Non-Experimental Research Studies
e. Evaluating Quantitative Research Design
f. Session Summary
Part 1:
a. Session Overview
b. Defining Surveys
c. Exploring Survey Methods
d. Session Summary
Part 2:
a. Session Overview
b. The Process of Questionnaire Development
c. Designing a Questionnaire
d. Designing Rating Scales
e. The Art of Asking Questions
f. Session Summary
Part 3:
a. Session Overview
b. Tips to Conduct Effective Surveys
c. Ethics of Using Technology in Surveys
d. Session Summary
Part 1:
a. Session Overview
b. What is Measurement?
c. True Score Theory, Estimating Measurement Errors
d. Evaluating Validity of Measures
e. Evaluating Reliability of Measures
f. Session Summary
Part 2:
a. Session Overview
b. Basic Concepts of Sampling
c. Problems and Blases in Sampling
d. Probability Sampling
e. Non-Probability Sampling
f. Session Summary
Part 3:
a. Session Overview
b. Determining the Sample Size
c. Sampling Distribution and Statistical inference
b. Demonstrations on Sampling
e. Session Summary
Part 1:
a. Session Overview
b. Significance of Comparing Means for Analysis
c. What is ANOVA?
d. Types of ANOVA
e. Calculating and Interpreting One-Way ANOVA
f. Session Summary
Part 2:
a. Session Overview
b. Building a Statistical Model
c. Effect of Moderating and Mediating Variables
d. Demonstration on Mediation and Moderation
e. Session Summary
Part 1:
a. Session Overview
b. What is Factor Analysis?
c. Conducting Factor Analysis
d. Demonstration on R: Factor Analysis
e. Interpreting Factor Scores
f. Session Summary
Part 2:
a. Session Overview
b. What is Factorial ANOVA?
c. Dealing with Interaction Effects in Factorial ANOVA
d. Calculating and Interpreting Factorial ANOVA
e. Session Summary
Part 1:
a. Session Overview
b. Multivariate regression
c. MANOVA
d. Logistic Regression
e. Structural Equation Modeling
f. Tree Structured Methods
g. Conjoint Analysis
h. Session Summary
Part 2:
a. Session Overview
b. Time Series
c. Cluster Analysis
d. Session Summary
Part 1:
a. Session Overview
b. Introduction to Formatting the Research Project for Quantitative Research
c. Components of a Quantitative Research Paper
d. Writing the Summary, Background and Purpose of Quantitative Research
e. Writing the Literature Review
f. Detailing your Research Design/Methodology
g. Curating your Results, Analysis and Supplimentary Findings
h. Outlining your Conclusions and Reccomendations
i. Making Appendices
j. Session Summary
Part 2:
a. Session Overview
b. Writing Different Types of Quant Papers
c. Guidelines for Fine Tuning your Research Presentation
d. Session Summary
Module 4: Qualitative Research Methods
a .Key Elements of Qualitative Research
b. Writing Qualitative Research Question
c. Qualitative Research: Framework
d. Steps to Write a Qualitative Research Paper
e. Ethics for Qualitative Research and IRB
f. Introduction to Design Strategies
g. Data-Collection and Analysis Strategies
h. Introduction to research design
i. Major aspects of research desig
a. Sources of Evidence: A Comparative
b. Assessment (Forms-Strengths-Weaknesses)
c. Principles of Data Collection
d. Sampling
e. Reliability and Validity
a. An Introduction to Data Analysis
b. First Cycle Coding (Description +Demo)
c. Second Cycle Coding (Description +Demo)
d. Jottings and Analytic Memoing (Description +Demo)
e. Assertions and Propositions (Description +Demo)
f. Within Case and Cross-Case Analysis (Description +Demo)
a. Matrix and Networks
b. Timing, formatting
c. Extracting Inferences and Conclusions
d. Exploring Fieldwork in Progress
e. Exploring Variables
f. Exploring Reports in Progress
a. Describing Participants
b. Describing Variability
c. Describing Action
d. Ordering by time
e. Ordering by process
f. Explaining Interrelationship-Change
g. Explaining Causation
h. Making Predictions
a. Tactics to achieve integration among diverse pieces of data
b. Tactics to sharpen understanding by differentiation
c. Tactics of seeing relationships in data abstractly
d. Tactics to assemble a coherent understanding of data
e. Tactics for testing or confirming findings
f. Standards for quality of conclusions
a. Other methods in Qualitative Research
b. Audiences and Effects
c. Different aspects / apa
d. An Introduction to Mixed Methods Research
Know the complete offerings of our Doctor of Philosophy (Ph.D.)
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