Research Methods in Agricultural Extension | Study Unit
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Research Methods In Agricultural Extension

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Topics 8

Introduction to Research Methods in Agricultural Extension
Types of Research in Agricultural Extension
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Research Design and Planning in Agricultural Extension
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Sampling Techniques in Agricultural Extension Research
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Data Collection Methods in Agricultural Extension
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Data Analysis and Interpretation in Agricultural Extension Research
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Ethical Considerations in Agricultural Extension Research
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Writing and Presenting Research Findings in Agricultural Extension
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Unit Outline 40h

Learning Objectives

5 objectives
  • Understand the fundamental concepts and importance of research methods in agricultural extension.
  • Identify and differentiate between various types of research applicable in agricultural extension.
  • Develop skills in research design, planning, and sampling techniques specific to agricultural extension research.
  • Apply appropriate data collection and analysis methods to agricultural extension research projects.
  • Recognize ethical considerations and effectively write and present research findings in agricultural extension.

Content Outline

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Unit 2275: Research Methods in Agricultural Extension

1. Introduction to Research Methods in Agricultural Extension

  • Definition and significance of research in agricultural extension
  • Role of research in improving extension services
  • Overview of scientific inquiry and the research process

2. Types of Research in Agricultural Extension

  • Basic vs Applied Research
  • Quantitative, Qualitative, and Mixed Methods Research
  • Experimental, Descriptive, and Exploratory Research
  • Action Research in Agricultural Extension

3. Research Design and Planning in Agricultural Extension

  • Formulating research problems and questions
  • Setting objectives and hypotheses
  • Designing research frameworks
  • Time and resource planning
  • Developing research proposals

4. Sampling Techniques in Agricultural Extension Research

  • Population and sample definition
  • Probability sampling methods: Simple random, systematic, stratified, cluster sampling
  • Non-probability sampling methods: Convenience, purposive, quota sampling
  • Sample size determination and considerations

5. Data Collection Methods in Agricultural Extension

  • Primary data sources: Surveys, interviews, focus groups, observations
  • Secondary data sources: Literature reviews, existing databases
  • Designing data collection instruments
  • Pilot testing and validation of tools
  • Field data collection protocols

6. Data Analysis and Interpretation in Agricultural Extension Research

  • Data preparation and cleaning
  • Descriptive statistics: Measures of central tendency, variability
  • Inferential statistics: Hypothesis testing, correlation, regression
  • Qualitative data analysis: Thematic analysis, coding
  • Use of software tools for data analysis (e.g., SPSS, Excel, NVivo)
  • Interpreting and contextualizing results

7. Ethical Considerations in Agricultural Extension Research

  • Principles of research ethics: Consent, confidentiality, integrity
  • Handling sensitive information
  • Avoiding plagiarism and ensuring academic honesty
  • Ethical approval processes

8. Writing and Presenting Research Findings in Agricultural Extension

  • Structuring research reports and papers
  • Writing abstracts, introductions, methods, results, and discussion sections
  • Use of tables, graphs, and charts
  • Presentation skills: Oral presentations, posters, and seminars
  • Dissemination of research to stakeholders and policymakers
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