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Mthuli, Syanda Alpheous; Ruffin, Fayth; Singh, Nikita – International Journal of Social Research Methodology, 2022
Qualitative research sample size determination has always been a contentious and confusing issue. Studies are often vague when explaining the processes and justifications that have been used to determine sample size and strategy. Some provide no mention of sampling at all, whilst others rely too heavily on the concept of saturation for determining…
Descriptors: Qualitative Research, Sample Size, Sampling, Research Problems
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Suich, Helen; Yap, Mandy; Pham, Trang – International Journal of Social Research Methodology, 2022
This paper uses Individual Deprivation Measure data from Indonesia and South Africa to demonstrate the effects of coverage bias associated with mobile phone-based sampling and data collection approaches that restrict sampling frames to those who own or have access to a mobile phone -- a increasingly common method. Analysis of this data…
Descriptors: Bias, Handheld Devices, Telecommunications, Sampling
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Aruguete, Mara S.; Huynh, Ho; Browne, Blaine L.; Jurs, Bethany; Flint, Emilia; McCutcheon, Lynn E. – International Journal of Social Research Methodology, 2019
This study compared the quality of survey data collected from Mechanical Turk (MTurk) workers and college students. Three groups of participants completed the same survey. "MTurk" respondents completed the survey as paid workers using the Mechanical Turk crowdsourcing platform. "Student Online" respondents also completed the…
Descriptors: Data Collection, Research Methodology, Sampling, College Students
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Contandriopoulos, Damien; Sapeha, Halina; Larouche, Catherine – International Journal of Social Research Methodology, 2019
This research note discusses opportunities and challenges of using online survey engines for social network analysis (SNA) data collection and assessing sample size and representativeness. The discussion is based on a case study of SNA data collection for a pilot research on health-relevant policy networks in Canada. Our approach demonstrates how…
Descriptors: Social Networks, Network Analysis, Data Collection, Research Problems
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Levine, Burton; Berzofsky, Marcus E.; Hampton, Joel; Battles, Haven B. – International Journal of Social Research Methodology, 2019
Dual-frame, random-digit-dialing (DFRDD) surveys, using a frame of landline telephone numbers and a frame of cell phone numbers, have become the norm for telephone surveys. Two alternative frame constructions sample exclusively from a cell phone frame, referred to as the 'single-frame cell,' and sample from the listed landline frame and the cell…
Descriptors: Telephone Surveys, Sampling, Handheld Devices, Data Collection
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Gravlee, Clarence C.; Maxwell, Chad R.; Jacobsohn, Aryeh; Bernard, H. Russell – International Journal of Social Research Methodology, 2018
This article tests whether collecting pile-sort data online produces results similar to those obtained with face-to-face methods. We collected pile sorts from 227 university students in the cultural domain of emotions. To test for mode and design effects, we randomly assigned participants to face-to-face or internet modes and to either a 15- or…
Descriptors: Data Collection, Online Searching, Internet, Interviews