Research Methodology in Population and Family Health Studies

Explore comprehensive insights into social science research, including methodologies, data collection techniques, statistical analysis, and project management, to enhance your understanding and application of research principles.

Research Methodology in Population and Family Health Studies

1 Social Science Research- An Overview

  1. The Meaning and Concept of Social Science Research
  2. The Differences between Natural and Social Science Research
  3. Approaches to Social Science Research
  4. Types of Social Science Research

2 Components of Social Science Research

  1. Concept
  2. Objectives
  3. Definition
  4. Hypothesis
  5. Variables

3 Research Designs

  1. Research Design – Meaning and Concept
  2. Functions of Research Design
  3. The Need for Research Design
  4. Features of Research Design
  5. Types of Research Design

4 Research Project Formulation

  1. Steps in the Formulation of a Research Project Proposal
  2. The Title of a Research Project
  3. Problem Statement
  4. Review of Literature
  5. Objectives of Research
  6. Methodology
  7. Work Schedule/Time Frame
  8. Budget
  9. Dissemination Strategy

5 Measurement

  1. Measurement — Meaning and Concept
  2. Importance of Measurement
  3. Measurement Postulates
  4. Kinds of Measurement
  5. Admissible Statistical Tests for Measurement
  6. Criteria for Judging the Measuring Instruments
  7. Sources of Errors in Measurement

6 Scales and Tests

  1. Scales: Meaning and Techniques
  2. Types of Rating Scales
  3. Uses and Guidelines for Construction of Rating Scales
  4. Rating Errors
  5. Tests
  6. Types of Objective Test Questions
  7. Test Construction

7 Reliability and Validity

  1. Reliability
  2. Methods of Determining the Reliability
  3. Validity
  4. Types of Validity
  5. Reliability or Validity – Which is More Important?

8 Sampling

  1. Sampling: Meaning and Concept
  2. Types of Sampling
  3. Sample Design Process
  4. Errors in Sampling
  5. Determination of Sample Size

9 Quantitative Data Collection Methods and Devices

  1. Primary Data Collection: Meaning and Methods
  2. Questionnaire Method of Data Collection
  3. Interview Schedule
  4. Secondary Methods of Data Collection

10 Qualitative Data Collection Methods and Devices

  1. Qualitative Data – Meaning and Concept
  2. Methods and Techniques of Qualitative Data Collection
  3. Features of Qualitative and Quantitative Research

11 Data Sources- Primary and Secondary

  1. Sources of Data
  2. Process of Sourcing Data
  3. Qualities of Data Source
  4. Data Sources for Agriculture
  5. Data Sources for Infrastructure
  6. Data Sources for Service Sector
  7. Global Data Sources

12 Use of ICT in Data Collection and Processing

  1. ICT: Meaning and Attributes
  2. ICT and Development Interface
  3. ICT and Sectoral Development
  4. E-Development and its Strategies

13 Overview of Statistical Tools and Techniques

  1. The Data: Meaning and Types
  2. Frequency Distributions
  3. Measures of Central Tendency
  4. Measures of Dispersion
  5. Hypothesis Testing and Inferential Statistics
  6. Statistical Tests
  7. Correlation
  8. Regression

14 Data Processing and Analysis

  1. Data Measurement and Its Type
  2. Tabulation and Interpretation of Data
  3. Data Coding, Editing and Feeding
  4. Data Tabulation
  5. Graphical Presentation of Data

15 Report Writing

  1. Types of Report
  2. Writing the Research Report
  3. Preliminary Pages of Research Report
  4. Main Components or Chapterizing of Research Report
  5. Style and Layout of the Report

16 Dissemination of Findings

  1. Concept and Definition of Dissemination of Findings
  2. Importance of Dissemination
  3. Various Strategies of Dissemination of Findings
  4. Challenges in Dissemination of Findings
  5. Approaches for Dissemination

17 Project Cycle Management

  1. Projects: Meaning and Concept
  2. Difference between a Project and a Programme
  3. Project Preparation
  4. Project Cycle Management
  5. Project Appraisal Techniques

18 Monitoring

  1. Meaning and Scope of Monitoring
  2. Monitoring: What, Why, When and by Whom
  3. Basic Concepts and Elements in Monitoring
  4. Types of Monitoring
  5. The Techniques of Monitoring

19 Evaluation

  1. What is Evaluation?
  2. Appraisal vs. Monitoring vs. Evaluation vs. Impact Assessment
  3. Evaluation – Types and Designs
  4. Evaluation – Data Collection Methods
  5. Evaluation Approaches

20 Impact Assessment of Projects and Programmes

  1. Impact Assessment: Meaning and Importance
  2. Types of Impact Assessment
  3. Tools and Techniques used in Impact Assessment
  4. Steps in Implementing an Impact Assessment
  5. Associated Terms Related to Impact Assessment

21 Introduction to GIS and RS in Population Studies

  1. Basic Concepts of Geoinformatics
  2. Geospatial Data
  3. Overview of Applications of RS and GIS
  4. Application in Population Studies
  5. RS and GIS in Population Studies: Indian Examples