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Regan Mozer; Luke Miratrix – Grantee Submission, 2024
For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by trained human raters. This process, the current standard, is both time-consuming and limiting: even the largest human coding efforts are typically constrained to…
Descriptors: Artificial Intelligence, Coding, Efficiency, Statistical Inference
Rebeckah K. Fussell; Emily M. Stump; N. G. Holmes – Physical Review Physics Education Research, 2024
Physics education researchers are interested in using the tools of machine learning and natural language processing to make quantitative claims from natural language and text data, such as open-ended responses to survey questions. The aspiration is that this form of machine coding may be more efficient and consistent than human coding, allowing…
Descriptors: Physics, Educational Researchers, Artificial Intelligence, Natural Language Processing
Bradley, Holly; Smith, Beth A.; Wilson, Rujuta B. – Infant and Child Development, 2023
Joint attention (JA) is the purposeful coordination of an individual's focus of attention with that of another and begins to develop within the first year of life. Delayed, or atypically developing, JA is an early behavioural sign of many developmental disabilities and so assessing JA in infancy can improve our understanding of trajectories of…
Descriptors: Attention, Infants, Child Development, Qualitative Research
Nason, Erica E.; Wang, Kaipeng; Ausbrooks, Angela R. – Journal of Social Work Education, 2023
This article introduces an open-source software package--R for Qualitative Data Analysis (RQDA). RQDA is an R package for analysis of text-formatted data, which is compatible across operating platforms. It is user-friendly and seamlessly integrates with R, which makes it possible to conduct statistical analyses on qualitative coding. Alternative…
Descriptors: Statistical Analysis, Computer Software, Open Source Technology, Usability
Hu, Yuhang; Plonsky, Luke – Second Language Research, 2021
Statistical tests carry with them a number of assumptions that must be checked. Failing to do so and to report the results of such preliminary analyses introduce a potential threat to the internal validity of a study and to our ability as consumers to put faith in study findings. This article systematically examines the reporting of checks on…
Descriptors: Second Language Learning, Second Language Instruction, Periodicals, Language Research
Nikolakopoulou, Adriani; Mavridis, Dimitris; Chiocchia, Virginia; Papakonstantinou, Theodoros; Furukawa, Toshi A.; Salanti, Georgia – Research Synthesis Methods, 2021
Background: Network meta-analysis (NMA) produces complex outputs as many comparisons between interventions are of interest. The estimated relative treatment effects are usually displayed in a forest plot or in a league table and several ranking metrics are calculated and presented. Methods: In this article, we estimate relative treatment effects…
Descriptors: Networks, Meta Analysis, Intervention, Evaluation Methods