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Luis Vila-Henninger; Claire Dupuy; Virginie Van Ingelgom; Mauro Caprioli; Ferdinand Teuber; Damien Pennetreau; Margherita Bussi; Cal Le Gall – Sociological Methods & Research, 2024
Qualitative secondary analysis has generated heated debate regarding the epistemology of qualitative research. We argue that shifting to an abductive approach provides a fruitful avenue for qualitative secondary analysts who are oriented towards theory-building. However, the concrete implementation of abduction remains underdeveloped--especially…
Descriptors: Qualitative Research, Research Methodology, Epistemology, Theories
Lichtenstein, Matty; Rucks-Ahidiana, Zawadi – Sociological Methods & Research, 2023
With the growing availability of large-scale text-based data sets, there is an increasing need for an accessible and systematic way to analyze qualitative texts. This article introduces and details the contextual text coding (CTC) method as a mixed-methods approach to large-scale qualitative data analysis. The method is particularly useful for…
Descriptors: Coding, Qualitative Research, Data Analysis, Alternative Assessment
Victoria Reyes; Elizabeth Bogumil; Levin Elias Welch – Sociological Methods & Research, 2024
Transparency is once again a central issue of debate across types of qualitative research. Work on how to conduct qualitative data analysis, on the other hand, walks us through the step-by-step process on how to code and understand the data we've collected. Although there are a few exceptions, less focus is on transparency regarding…
Descriptors: Qualitative Research, Data Analysis, Guides, Databases
Nga Than; Leanne Fan; Tina Law; Laura K. Nelson; Leslie McCall – Sociological Methods & Research, 2025
Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…
Descriptors: Artificial Intelligence, Coding, Qualitative Research, Cues
Lamprianou, Iasonas – Sociological Methods & Research, 2023
This study investigates inter- and intracoder reliability, proposing a new approach based on social network analysis (SNA) and exponential random graph models (ERGM). During a recent exit poll, the responses of voters to two open-ended questions were recorded. A coding experiment was conducted where a group of coders coded a sample of text…
Descriptors: Interrater Reliability, Coding, Social Networks, Network Analysis
Rosanna Cole – Sociological Methods & Research, 2024
The use of inter-rater reliability (IRR) methods may provide an opportunity to improve the transparency and consistency of qualitative case study data analysis in terms of the rigor of how codes and constructs have been developed from the raw data. Few articles on qualitative research methods in the literature conduct IRR assessments or neglect to…
Descriptors: Interrater Reliability, Error of Measurement, Evaluation Methods, Research Methodology
Belur, Jyoti; Tompson, Lisa; Thornton, Amy; Simon, Miranda – Sociological Methods & Research, 2021
A methodologically sound systematic review is characterized by transparency, replicability, and a clear inclusion criterion. However, little attention has been paid to reporting the details of interrater reliability (IRR) when multiple coders are used to make decisions at various points in the screening and data extraction stages of a study. Prior…
Descriptors: Interrater Reliability, Decision Making, Accuracy, Coding
Deterding, Nicole M.; Waters, Mary C. – Sociological Methods & Research, 2021
Qualitative coding procedures emanating from grounded theory were limited by technologies of the 1960s: colored pens, scissors, and index cards. Today, electronic documents can be flexibly stored, retrieved, and cross-referenced using qualitative data analysis (QDA) software. We argue the oft-cited grounded theory framework poorly fits many…
Descriptors: Coding, Qualitative Research, Grounded Theory, Journal Articles
Nelson, Laura K.; Burk, Derek; Knudsen, Marcel; McCall, Leslie – Sociological Methods & Research, 2021
Advances in computer science and computational linguistics have yielded new, and faster, computational approaches to structuring and analyzing textual data. These approaches perform well on tasks like information extraction, but their ability to identify complex, socially constructed, and unsettled theoretical concepts--a central goal of…
Descriptors: Coding, Content Analysis, Computer Use, Artificial Intelligence