The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Sampling and Sampling Methods
Open accessAbstract
This article is on representation of basis and the basis selection of techniques.The representation of this two is performed either by the method of probability random sampling or by the method of non-probability random sampling.The selection of random type is done by probability random sampling while the non-selection type is by non-probability probability random sampling.This selection of techniques is talking about either without control (unrestricted) or with control (restricted) when individually the element of each sample is selected from a given totality, the drawn of sample element goes with unrestricted while all the other types of the sampling is to be considered as a restricted sampling.
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Citations
Cites
Comparison of convenience sampling and purposive sampling
Etikan, I. (2016) · American Journal of Theoretical and Applied Statistics · doi:10.11648/j.ajtas.20160501.11 · Cited by 11,412
Self-citationMixed Methods Research: A Research Paradigm Whose Time Has Come
Johnson, R. B., & Onwuegbuzie, A. J. (2004) · Educational Researcher · doi:10.3102/0013189x033007014 · Cited by 11,170
Encyclopedia of Survey Research Methods
Lavrakas, P. (2008) · doi:10.4135/9781412963947 · Cited by 2,689
Sampling in qualitative research. Purposeful and theoretical sampling: Merging or clear boundaries?
Coyne, I. T. (1997) · Journal of Advanced Nursing · doi:10.1046/j.1365-2648.1997.t01-25-00999.x · Cited by 2,402
Comparision of Snowball Sampling and Sequential Sampling Technique
Etikan, I. (2016) · Biometrics & Biostatistics International Journal · doi:10.15406/bbij.2016.03.00055 · Cited by 485
Self-citationHenry, G. (1990) · Sage eBooks · doi:10.4135/9781412985451 · Cited by 376
Sampling Hard-to-Reach Populations with Respondent Driven Sampling
Johnston, L. G., & Sabin, K. (2010) · Methodological Innovations Online · doi:10.4256/mio.2010.0017 · Cited by 331
On the Validity of Inferences from Non-random Sample
Smith, T. M. F. (1983) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2981454 · Cited by 211
Miller, P. G., Johnston, J., Dunn, M., FRY, C. L., & Degenhardt, L. J. (2010) · Substance Use & Misuse · doi:10.3109/10826080903452470 · Cited by 39
Cited by
Hypothetical bias mitigation in representative and convenience samples
Penn, J. M., Petrolia, D. R., & Fannin, J. M. (2023) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13374 · Cited by 42
Caycho-Rodríguez, T., Tomás, J. M., Ventura- León, J., Carranza Esteban, R. F., Oblitas Guadalupe, L. A., Reyes-Bossio, M., García Cadena, C. H., & Cabrera-Orosco, I. (2021) · Aging & Mental Health · doi:10.1080/13607863.2020.1716685 · Cited by 23
Sumantri, M. S., Gandana, G., Supriatna, A. R., Iasha, V., & Setiawan, B. (2022) · Journal of Educational and Social Research · doi:10.36941/jesr-2022-0078 · Cited by 21
Romance Fraud: Its Repercussions on Victims’ Wellbeing
Gauci, C., & Vella, M. G. (2025) · Women & Criminal Justice · doi:10.1080/08974454.2025.2600304 · Cited by 2
Metadata
- Authors
- Etikan, I.
- Venue
- Biometrics & Biostatistics International Journal
- Publisher
- MedCrave Group Kft.
- Published
- 2017-05-04
- Volume
- 5
- Issue
- 6
- ISSN
- 2378-315X (ISSN-L)
- OpenAlex
- W2743072699
- Cited by
- 1,258
- References
- 9
- FWCI
- 22.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.