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Amostragem Aleatória Simples×Amostragem Intencional×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origemEarly 20th century; systematized by Cochran 1953/1977Formalized ~1980–1990
Autor originalWilliam Gosset, Jerzy Neyman, and formalized by William CochranMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipoProbability sampling designNon-probability sampling strategy
Fonte seminalCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Outros nomesSRS, unrestricted random sampling, equal-probability sampling, EPSEMjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionados64
ResumoSimple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.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: Simple random sampling · Purposive sampling. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare