Does Sample Size Matter in Qualitative Research?: A Review of Qualitative Interviews in is Research

By Bryan Marshall, P. Cardon, Amit Poddar, Renee Fontenot. Journal of Computational Information Systems, 2013

2,035 citations recorded by the source corpus.

Subfields: Management Information Systems, Management Science and Operations Research, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/36e55875dadb4011484f6752d2f9a9036b48e559

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In Management Information Systems

1. Susan Dean
2. S. Divakar
3. T. S. Nanjundeswaraswamy

In Management Science and Operations Research

1. Susan Dean
2. Favourate Sebele Mpofu

In Sociology and Political Science

1. Susan Dean
2. Alex Casteel
3. Julie Barnett
4. Favourate Sebele Mpofu
5. Nancy Bridier

Citations in the corpus

• Describing Populations and Samples in Doctoral Student Research (2021, background): “The guidelines for participant recruitment for phenomenological studies vary across the literature, with Marshall et al. (2013) reporting ranges from 6-10 participants as a recommendation.”
• Sample Size Justification (2021, neutral): “Regrettably, principled approaches to justify sample sizes have not been developed for these alternative philosophies (Marshall, Cardon, Poddar, & Fontenot, 2013).”
• Characterising and justifying sample size sufficiency in interview-based studies: systematic analysis of qualitative health research over a 15-year period (2018, methodology): “Nevertheless, claims of saturation were never substantiated in relation to procedures conducted in the study itself, endorsing similar observations in the literature [25, 30, 47].”
• DETERMINING THE SAMPLE SIZE IN QUALITATIVE RESEARCH (2020, background): “Marshall et al. (2013) have analysed 83 interview-based qualitative studies, published in topranked IT magazines from USA, Canada, Asia and Europe, so as to identify to what extent the cultural factor (publishing magazine, author count, region where the journal publishing the study is located in)…”
• Soft Skills Needed for the 21st-Century Workforce (2019, background): “The indicator of data saturation is when no new themes emerge (Cleary, Horsfall, & Hayter, 2014; Francis et al., 2010; Marshall et al., 2013; Walker, 2012).”
• Saturation controversy in qualitative research: Complexities and underlying assumptions. A literature review (2020, background): “…qualitative researchers fail to define their samples, sample sizes, explain how they addressed saturation in choosing their sample and others just allude to the fact that they reached saturation but without adequate elaboration on how and when aspects (Guest et al., 2017; Marshall et al., 2013).”
• DETERMINATION OF SAMPLE SIZE AND SAMPLING METHODS IN APPLIED RESEARCH (2021, background): “Marshall et al. (2013) argued that most of the present researches are not taken care about the sampling method and sample size because of this researchers are fail to draw accurate and reliable inferences about the population.”