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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Usampulishaji Lengwa wa Mtandaoni×Uchanganuzi wa Kiwango cha Juu cha Utatanishi×
NyanjaMetodolojia ya DodosoMetodolojia ya Dodoso
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1990s–2000s (with growth of internet-based research)1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
MwanzilishiAdaptation of purposive sampling (Patton, 1987) to online/digital research contextsLincoln & Guba; systematised by Michael Quinn Patton
AinaNon-probability qualitative samplingPurposive qualitative sampling strategy
Chanzo asiliaPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
Majina mbadalainternet-based purposive sampling, web purposive sampling, online criterion-based sampling, digital purposive samplingmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Zinazohusiana35
MuhtasariOnline purposive sampling applies the logic of criterion-based participant selection to digital recruitment channels — including social media platforms, online communities, email lists, and research recruitment websites. Researchers intentionally seek individuals who possess the characteristics, experiences, or expertise directly relevant to the research question, using internet-based tools to locate and screen them. The method preserves the defining feature of purposive sampling — deliberate selection based on fitness for purpose — while leveraging the reach and accessibility of online environments.Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.
ScholarGateSeti ya data
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  2. 2 Vyanzo
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  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Online Purposive Sampling · Maximum Variation Sampling. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare