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DeLuca, Stefanie – Sociological Methods & Research, 2023
Increasingly, the broader public, media and policymakers are looking to qualitative research to provide answers to our most pressing social questions. While an exciting and perhaps overdue moment for qualitative researchers, it is also a time when the method is coming under increasing scrutiny for a lack of reliability and transparency. The…
Descriptors: Qualitative Research, Reliability, Standards, Participant Observation
Müller, Bettina; Castiglioni, Laura – Sociological Methods & Research, 2020
In the context of cross-sectional surveys, the scope of research on the impact of response enhancing strategies on sample composition and nonresponse bias is vast. This topic has rarely been addressed for panel studies, however, although these are becoming an increasingly important data source in social research. In this article, we evaluate the…
Descriptors: Foreign Countries, Surveys, Dropouts, Longitudinal Studies
Mohammed, M. A.; Ibrahim, A. I. N.; Siri, Z.; Noor, N. F. M. – Sociological Methods & Research, 2019
In this article, a numerical method integrated with statistical data simulation technique is introduced to solve a nonlinear system of ordinary differential equations with multiple random variable coefficients. The utilization of Monte Carlo simulation with central divided difference formula of finite difference (FD) method is repeated n times to…
Descriptors: Monte Carlo Methods, Calculus, Sampling, Simulation
Shi, Yongren; Cameron, Christopher J.; Heckathorn, Douglas D. – Sociological Methods & Research, 2019
Respondent-driven sampling (RDS), a link-tracing sampling and inference method for studying hard-to-reach populations, has been shown to produce asymptotically unbiased population estimates when its assumptions are satisfied. However, some of the assumptions are prohibitively difficult to reach in the field, and the violation of a crucial…
Descriptors: Statistical Inference, Bias, Recruitment, Sampling