Sampling fundamentals including universe/population, sampling frame, sampling design, statistics and parameters, sampling error, finite and infinite populations, probability and non-probability sampling methods.
Data processing and analysis covering editing (field and central), coding, classification (attributes and class-intervals), tabulation (simple and complex), hand and mechanical tabulation, and descriptive analysis techniques.
Methods of data collection including observation method, interview method, questionnaires, schedules, primary and secondary data collection, participant and non-participant observation, structured and unstructured observation techniques.
Measurement and scaling techniques covering nominal, ordinal, interval, ratio scales, measurement process, scale properties, scaling procedures, Likert scale, semantic differential, Thurstone scale, Guttman scalogram analysis, and factor scales.
Computer basics, hardware and software, binary system, input-output devices, programming, data processing, statistical packages, and computer applications in research.