Statistics And Research Methods In Extension

1. Discuss research problems and formulate hypotheses.
2. Design research studies and prepare questionnaires.
3. Use statistical tools to analyze data.
4. Present research findings in various formats.
5. Write comprehensive research reports.
6. Apply research methods in agricultural extension.

13 weeks, about 33 hours in total. Yours will differ.

1. Week 1Module 1: Research Problems and Statement of Hypothesis

   • Unit 1: Research: Meaning, Importance and Characteristics · 2 hours

     Define research, explain its importance, and identify its characteristics.. Discuss the role of research in development.. Differentiate between various types of research.. Analyze data needed in social research..

2. Week 2Module 1: Research Problems and Statement of Hypothesis

   • Unit 2: Selection and Formulation of a Research Problem · 2 hours

     Define a research problem and its components.. Identify factors that determine the choice of a research problem.. Describe sources of research problems.. Formulate and evaluate a research problem based on given criteria..

3. Week 3Module 1: Research Problems and Statement of Hypothesis

   • Unit 3: Developing Hypothesis, Objectives and Identification of Variables · 2 hours

     Develop a hypothesis for a given research problem.. List criteria for a good hypothesis.. Describe hypothesis testing and levels of significance.. Identify types of errors in research.. Distinguish between different types of variables..

4. Week 4Module 2: Research Design, Questionnaire Design and Data Collection

   • Unit 1: Research Design · 2 hours

     Define research design and explain its purpose.. Explain the different types of research designs (exploratory, descriptive, causal).. Differentiate between experimental and quasi-experimental designs.. Discuss the strengths and weaknesses of each design type..

5. Week 5Module 2: Research Design, Questionnaire Design and Data Collection

   • Unit 2: Questionnaire Design · 2 hours

     Develop a questionnaire for a social survey.. Structure a questionnaire effectively, including question types and order.. Determine the steps involved in pre-testing a questionnaire.. Describe the process of administering a questionnaire to respondents..

6. Week 6Module 2: Research Design, Questionnaire Design and Data Collection

   • Unit 3: Measurement and Data Collection Methods · 2 hours

     Identify different data elicitation methods.. Explain the nature of data (qualitative vs. quantitative).. Describe various data collection methods, including their strengths and weaknesses.. Distinguish between primary and secondary data sources..

7. Week 7Module 3: Statistical Theory and Different Statistical Methods for Handling Data

   • Unit 1: Sampling and Statistical Tools · 3 hours

     Explain the importance of sampling in research.. Define key terms: population, sample, statistic, parameter, sampling frame.. Describe different probability sampling methods (simple random, stratified random, cluster sampling).. Discuss non-probability sampling methods (quota, purposive, systematic, double sampling)..

8. Week 8Module 3: Statistical Theory and Different Statistical Methods for Handling Data

   • Unit 1: Sampling and Statistical Tools · 3 hours

     Explain descriptive statistics and their purpose.. Describe measures of central tendency (mean, median, mode).. Discuss measures of dispersion (range, quartiles, mean deviation, variance, standard deviation).. Differentiate between parametric and non-parametric statistics..

9. Week 9Module 3: Statistical Theory and Different Statistical Methods for Handling Data

   • Unit 1: Sampling and Statistical Tools · 3 hours

     Explain inferential statistics and their use in hypothesis testing.. Define the null hypothesis and its role in research.. Describe non-parametric statistics and their applications.. Apply statistical tools to analyze data and draw conclusions..

10. Week 10Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

    • Unit 1: Data Presentation · 2 hours

      Handle data for decision-making.. Present research findings in narrative, tabular, and graphical forms.. Calculate measures of central tendency and dispersion.. Interpret data presented in various formats..

11. Week 11Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

    • Unit 2: Report Writing · 2 hours

      Appraise methods of preparing a research report.. Identify the target audience (sponsor, administrator, academic community) and tailor the report accordingly.. Provide a general framework for preparing a research report.. Understand the components of a comprehensive research report..

12. Week 12Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

    • Final Revision and TMA Preparation · 4 hours

      Review all modules and units.. Focus on key concepts and definitions.. Practice data analysis techniques.. Prepare for tutor-marked assignments..

13. Week 13Module 4: Presentation of Research Findings in Narrative, Tabular and Graphical Forms

    • Final Revision and Exam Preparation · 4 hours

      Complete all tutor-marked assignments.. Review course materials and notes.. Practice exam questions.. Prepare for the final examination..