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Doctor of Philosophy (Ph.D.)
Achieve the highest level recognition in education | Present a quality research in your specialized field | get expert guidance in research writing, conducting and publishing | Contribute to the area of specialization significantly.
Total Course Duration
100 + Hours
Course Fee
INR 798500
Next Batch Starts
20-Jan-2025
Certification
Yes*
Book a Live Class, For Free!
What you will learn at Eduwatts
Learn about the principles of research and data collection methods
Improve your knowledge regarding dissertation, topic selection, problem identification, application of research methods and more
Conduct research in your specialized subject
Learn how to design, conduct and publish a high quality research
Develop academic skills and effectively write academic articles and convey complex ideas
Learn to evaluate the existing literature and understand the process of publishing a good research
Who is this course for?
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Aspirants with a background in their chosen area of Ph.D.
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Individuals with experience working with large corporates
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Aspirant who want to study online and build a career anywhere
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Working professionals looking to upgrade their skill sets
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Aspirant looking for a world-class learning experience with a global pedagogy
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Aspirant aspiring for a future-proof and hands-on degree
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Individuals looking to gain global exposure and learn in-demand skill sets
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Individuals who want to become an internationally recognized job-ready professional
Syllabus
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Module 1: Thesis management
- Research
- Review of Literature
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
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.
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Module 2: General Research Methodology
- 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.
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Module 3: Quantitative Research Methods
- Introduction to Quantitative Research
- Part 1:
- Part 2:
- Exploring Quantitative Research Design
- Part 1:
- Part 2:
- Data Collection for Quantitative Research
- Part 1:
- Part 2:
- Part 3:
- Measurement and Sampling
- Part 1:
- Part 2:
- Part 3:
- Constructing Statistical Models
- Part 1:
- Part 2:
- Enhancing Statistical Models
- Part 1:
- Part 2:
- Multivariate Analyses
- Part 1:
- Part 2:
- Writing a Quantitative Research Paper
- Part 1:
- Part 2:
a. Session Overview
b. RQ Hypothesis Course Context Video
c. What is Quantitative Research?
d. Ethics of Quantitative Research
e. Session Summary
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 Models
K. Session Summary
a. Session Overview
b. Fundamentals of Research Design
c. Components of a Research Design
d. Characteristics of a Research Design
e. Session Summary
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 Quantitative Research Design
k. Session Summary
a. Session Overview
b. Defining Surveys
c. Exploring Survey Methods
d. Session Summary
e. Session Overview
f. The Process of Questionnaire Development
g. Designing a Questionnaire
h. Designing Rating Scales
i. The Art of Asking Questions
j. Session Summary
k. Session Overview
l. Tips to Conduct Effective Surveys
m. Ethics of Using Technology in Surveys
n. Session Summary
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
g. Session Overview
i. Basic Concepts of Sampling
j. Problems and Blases in Sampling
k. Probability Sampling
l. Non-Probability Sampling
m. Session Summary
n. Session Overview
o. Determining the Sample Size
p. Sampling Distribution and Statistical inference
q. Demonstrations on Sampling
r. Session Summary
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
g. Session Overview
h. Building a Statistical Model
i. Effect of Moderating and Mediating Variables
j. Demonstration on Mediation and Moderation
k. Session Summary
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
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
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
i. Session Overview
j. Time Series
k. Cluster Analysis
l. Session Summary
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
k. Session Overview
l. Writing Different Types of Quant Papers
m. Guidelines for Fine Tuning your Research Presentation
n. Session Summary
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Module 4: Qualitative Research Methods
- Introduction to Qualitative Research
- Data Collection in Qualitative Research
- Interviews and Focus Groups
- Introduction to Data Analysis
- Data Display and Exploration
- Data Analysis Process - Next Steps
- Verifying Conclusions
- Writing Report and New Technologies
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 design
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
What's Included?
100 Hours of Interactive, Real-Time Training
Unlimited 24/7 Access to Our E-Learning Portal
Learn from Industry Experts
AI powered Auto- Graded Exercises
Vocabulary Flashcards
Hands-On Internship Experience
Exclusive Access to Our Premium Job Portal
Globally Recognized Professional Certification
Credits and Certification from College de Paris, higher education institution in France
Sample Course Certificate
Course Description
Doctor of Philosophy (Ph.D.) at Eduwatts is designed for the scholars who wish to advance their educational journey. This program incorporates the research and innovation to achieve academic excellence in a specialized area of study. The research findings prove to be a significant contribution in the field of specialization. The topics covered are research oriented and include all the essential modules such as research methods, data collection techniques, data analysis, problem identification and its application.
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.
Frequently Asked Questions
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Who Should Take Ph.D?
A Ph.D. is best suited for those who:
Want to undertake original research in their field.
Aspire to be academics, researchers, or thought leaders.
Want advanced knowledge and expertise in a specific subject. -
What is the duration of Doctor of Philosophy (Ph.D.)?
The Doctor of Philosophy (Ph.D.) at Eduwatts is of 100 Hours.
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What All Specializations Are Available?
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..
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Will I have access to the course materials after completing the Doctor of Philosophy (Ph.D.)?
Yes, you will be able to access the course materials even after completing the course. The lifetime support provided by Eduwatts is a lifelong commitment. All the material is updated and uploaded on our E-learning Portal. You can get all the information you require from our LMS.
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