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Amostragem de Conveniência Multinível×Amostragem Intencional×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1980s–1990s (concurrent with multilevel modeling development)Formalized ~1980–1990
Autor originalEmerged from multilevel/hierarchical research traditionsMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipoNon-probability sampling designNon-probability sampling strategy
Fonte seminalHox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Outros nomeshierarchical convenience sampling, nested convenience sampling, multilevel accessibility sampling, multi-tier convenience samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionados54
ResumoMulti-level convenience sampling is a non-probability approach in which units are selected by convenience at each of two or more nested levels of a hierarchy — for example, recruiting whatever schools agree to participate and then enrolling all available students within those schools. It is widely used in organizational, educational, and health research where the researcher has limited control over access but must respect the nested structure of the population.Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work.
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ScholarGateComparar métodos: Multi-level Convenience Sampling · Purposive sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare