This study critically reviews sampling procedures commonly found in social work research. Through a Monte Carlo study simulating conditions of probability and nonprobability sampling procedures, the study demonstrates consequences of using nonprobability sampling procedures and identifies conditions under which researchers should examine the issue critically and exercise caution in reporting findings. Five empirical strategies to address dilemmas are recommended. The study calls for greater efforts to fund and coordinate large-scale social work research particularly at the federal level.