Research Methodology
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Follow on Instagram for UpdatesResearch Methodology Syllabus — Unit-wise Content
The official GTU curriculum for Research Methodology (subject code 2180410) as prescribed for Biotech · Semester 8 divides the course into 5 units, covering 58 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2180410)Unit 1 UNIT I
- Research Methodology: An Introduction Meaning of Research
- Objective of Research
- Motivation in Research
- Types of Research
- Research Approaches
- Significance of Research
- Research Methods versus Methodology
- Research and Scientific Method
- Importance of Knowing How Research is Done
- Research Process
- Criteria of Good Research
- Problems Encountered by Researchers in India
Unit 2 UNIT II
- Defining the Research Problem and Research Design What is a Research Problem?
- Selecting the Problem
- Necessity of Defining the Problem
- Meaning of Research Design
- Need for Research Design
- Future of a Good Design
- Important Concepts Relating to Research Design
- Different Research Design
- Basic Principals of Experimental Designs
Unit 3 UNIT III
- Sampling Design Census and sample survey
- Implications of a Sample Design
- Steps in sampling Design
- Criteria of Selecting a Sampling Procedure
- Characteristics of a Good Sample Design
- Different Types of sample Designs
- How to Select a Random Sample?
- Random Sample from an Infinite Universe
- Complex Random Sampling Designs
Unit 4 UNIT IV
- Methods of Data Collection Collection of Primary Data
- Observation Method
- Interview Method
- Collection of Data through Questionnaires
- Collection of Data through Schedules
- Difference between Questionnaires and Schedules
- Some Other Methods of Data Collection
- Collection of Secondary Data
- Selection of Appropriate Method for Data Collection
Unit 5 UNIT V
- Data Analysis
- Interpretation and Report Writing Data Analysis and Presentation Editing and coding of data
- graphic presentation of data
- cross tabulation
- Testing of hypotheses
- type I and II errors
- one tailed and two tailed tests of significance
- Parametric and nonparametric tests for Univariate and Bivariate data
- Tests of association
- simple linear regression and other nonparametric tests
- Meaning of Interpretation
- Why Interpretation? Technique of Interpretation
- Significance of Report Writing
- Deferent Steps in Writing Report
- Layout of the Research Report
- Types of Report
- Oral Presentation
- Mechanics of Writing a Research Report
- Precautions for Writing a Research Report
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