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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
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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
Vonna L. Hemmler; Allison W. Kenney; Susan Dulong Langley; Carolyn M. Callahan; E. Jean Gubbins; Shannon Holder – Grantee Submission, 2022
Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology our qualitative team used to achieve…
Descriptors: Interrater Reliability, Coding, Guides, Data Collection
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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
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Cheung, Kason Ka Ching; Tai, Kevin W. H. – Research in Science & Technological Education, 2023
Background: Intercoder reliability is a statistic commonly reported by researchers to demonstrate the rigour of coding procedures during data analysis. Its importance is debatable in the analysis of qualitative interview data. It raises a question on whether researchers should identify the same codes and themes in a transcript or they should…
Descriptors: Interrater Reliability, Data Analysis, Interviews, Research Methodology
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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
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Solano-Flores, Guillermo – Educational Measurement: Issues and Practice, 2021
This article proposes a Boolean approach to representing and analyzing interobserver agreement in dichotomous coding. Building on the notion that observations are samples of a universe of observations, it submits that coding can be viewed as a process in which observers sample pieces of evidence on constructs. It distinguishes between formal and…
Descriptors: Online Searching, Coding, Interrater Reliability, Evidence
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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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Norouzian, Reza – Studies in Second Language Acquisition, 2021
There has recently been a surge of interest in improving the replicability of second language (L2) research. However, less attention is paid to replicability in the context of L2 meta-analyses. I argue that conducting interrater reliability (IRR) analyses is a key step toward improving the replicability of L2 meta-analyses. To that end, I first…
Descriptors: Interrater Reliability, Second Languages, Language Research, Meta Analysis
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Helen L. Long; Gordon Ramsay; Edina R. Bene; Pumpki Lei Su; Hyunjoo Yoo; Cheryl Klaiman; Stormi L. Pulver; Shana Richardson; Moira L. Pileggi; Natalie Brane; D. Kimbrough Oller – Autism: The International Journal of Research and Practice, 2024
This study explores vocal development as an early marker of autism, focusing on canonical babbling rate and onset, typically established by 7 months. Previous reports suggested delayed or reduced canonical babbling in infants later diagnosed with autism, but the story may be complicated. We present a prospective study on 44 infants later diagnosed…
Descriptors: Infants, Infant Behavior, Child Language, Oral Language
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Toma, Radu Bogdan – Technology, Knowledge and Learning, 2023
The development of computational thinking skills is attracting attention worldwide. The use of visual or block-based coding in primary schools has gained momentum. Yet, students' acceptance of such coding environments has been neglected in the literature. This study presents a measurement instrument that will allow pursuing such an endeavor. The…
Descriptors: Computation, Thinking Skills, Coding, Measurement
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Bais, Frank; Schouten, Barry; Lugtig, Peter; Toepoel, Vera; Arends-Tòth, Judit; Douhou, Salima; Kieruj, Natalia; Morren, Mattijn; Vis, Corrie – Sociological Methods & Research, 2019
Item characteristics can have a significant effect on survey data quality and may be associated with measurement error. Literature on data quality and measurement error is often inconclusive. This could be because item characteristics used for detecting measurement error are not coded unambiguously. In our study, we use a systematic coding…
Descriptors: Foreign Countries, National Surveys, Error of Measurement, Test Items
Farley, Jennifer; Duppong Hurley, Kristin; Aitken, A. Angelique – Grantee Submission, 2020
This project explored the reliability and utility of transcription in coding qualitative data across two studies in a program evaluation context. The first study tested the method of direct audio coding, or coding audio files without transcripts, using qualitative data software. The presence and frequency of codes applied in direct audio coding…
Descriptors: Program Implementation, Audio Equipment, Coding, Usability
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Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – American Journal of Education, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
Nichols, T. Philip; Edgerton, Adam Kirk; Desimone, Laura M. – Grantee Submission, 2021
Purpose: As the federal government has retreated from taking a dominant role in encouraging implementation of common K-12 standards, states and districts have moved to fill this education policy vacuum. This study aims to understand how state and district leaders are navigating this new policy environment. Research Methods/Approach: Drawing upon…
Descriptors: State Standards, Academic Standards, Program Implementation, Educational Legislation
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