BIT · Semester VI
Research Methodology syllabus
Official TU syllabus for Research Methodology (RSM354): 10 units, 60 topics. Every unit links to its notes and solved questions.
1
Fundamentals of Research
2 Q- Definition and characteristics of scientific research
- Scientific research method and its features
- Research as systematic inquiry
- Importance of research methodology
2
Research Problem and Questions
4 Q- Definition of research problem
- Methods of problem identification
- Research questions and their formulation
- Process of identifying and formulating research questions
- Relationship between problems and questions
3
Research Objectives and Hypotheses
4 Q- Definition of research objectives
- Estimation of sample size
- Research hypotheses and their sources
- Criteria of good research hypotheses
- Inductive and deductive theory in research
- Interrelationship between objectives and hypotheses
4
Research Design
4 Q- Definition and importance of research design
- Features of a good research design
- Types of research design
- Descriptive research design
- Experimental research design
- Case study design and its limitations
5
Literature Review
4 Q- Definition of literature review
- Importance and needs of literature review
- Conducting effective literature reviews
- Sources for literature review
- Organizing and synthesizing literature
6
Sampling Methods
6 Q- Sampling frame and population
- Simple random sampling
- Stratified random sampling and its conditions
- Cluster sampling and its conditions
- Non-probability sampling techniques
- Sampling error and non-sampling error
7
Data Collection Methods
4 Q- Primary data and its collection methods
- Questionnaire design and characteristics
- Requisites of a good questionnaire
- Interview methods for data collection
- Secondary data sources
8
Measurement and Statistical Analysis
8 Q- Dependent and independent variables
- Levels and scales of measurement
- Reliability and validity of measuring scales
- Methods of estimating reliability
- Split half method for reliability
- Assessing relationships between variables
- Descriptive statistics and inferential statistics
- Independent t-test and Chi-Square test applications
9
Data Presentation
2 Q- Graphical methods of data presentation
- Frequency tables and distributions
- Bar charts and pie charts
- Tabular presentation of data
- Visual representation techniques
10
Research Ethics, Documentation and Reporting
10 Q- Ethical issues related to data use
- Plagiarism and its consequences
- Citations and referencing formats
- APA format for citations and references
- Citing books with multiple authors
- Citing journal articles with DOI
- Reference management software tools
- Research proposals and types
- Research reports and academic format
- Structure of academic research report
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