Good Practices in Extension Research and Evaluation
MANUAL on GOOD PRACTICES in EXTENSION RESEARCH and EVALUATION, Agricultural Extension in South Asia Network (AESA), 2017, 278 pages. |
This MANUAL was developed as a hands-on reference tool to help young researchers, research students, and field extension workers in choosing the right research methods for conducting quality research and evaluation in extension.
Extension research is a unique social science inquiry where research ideas are gathered from the field problems and put through a systematic cycle of objective investigations that result in significant solutions. Apart from developing theories and models that advance scientific knowledge, extension research should also provide new insights for improving extension policy and practice.
Re-orienting extension research is urgent, and calls for a coordinated approach by integrating state-of-the-art methods from other sciences in order to improve the utility and visibility of the extension research outcomes. Adopting several good practices, such as the following, can enhance the quality of extension research:
- Creative generation of relevant research ideas using an intuitive/common sense approach;
- Selection of a rigorous and robust research design;
- Choice of right variables following alternate criterion-referenced validity assessment procedures;
- Selection of appropriate sample sizes to maximize generalisability;
- Estimation of reliability and validity through robust modeling procedures, such as Structural Equation Modeling;
- Deployment of resource and time saving but accurate tools, such as shortened paper surveys and e-surveys;
- Compensation of respondents so as to maximize the accuracy of responses;
- Data cleaning by employing missing value estimation and assumption testing tools, and multivariate data modeling.