Research Population and Sampling in Quantitative Study

Abstract

The study underscores the paramount importance of meticulous population selection and sampling strategy in research design. Providing researchers with a comprehensive overview of population considerations and sampling methods, it offers a valuable resource for enhancing the robustness and applicability of research outcomes across diverse disciplines. Researchers discuss the unit of analysis, unit of observation, population of interest, target population, sampling framework, and sampling methods in light of employee work engagement in Malaysia. Simple random sampling, stratified random sampling, systematic random sampling, cluster sampling (single-stage, double-stage, and multi-stage), phase sampling (two-phase and multiphase), convenience sampling, purposive sampling, quota sampling, snowball sampling, and volunteer sampling have been discussed for selecting the appropriate sampling method for the research titled Revisiting of JD-R Theory and the effect of leadership style and meaningful work on employee work engagement among the full-time operational employee in Malaysia. According to the discussion on population and sampling methods, researchers use non-probability sampling, specifically convenience sampling techniques, based on the accessibility and availability of the full-time operational employees of successful organisations in Malaysia. Researchers and practitioners alike can leverage the insights presented in this review to make informed decisions about population selection and sampling methods, ultimately contributing to the advancement of credible and impactful research.