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John Ermisch – Sociological Methods & Research, 2025
Empirical analysis of variation in demographic events within the population is facilitated by using longitudinal survey data because of the richness of covariate measures in such data, but there is wave-on-wave dropout. When attrition is related to the event, it precludes consistent estimation of the impacts of covariates on the event and on event…
Descriptors: Attrition (Research Studies), Longitudinal Studies, Surveys, Statistical Analysis
Terry A. Beehr; Minseo Kim; Ian W. Armstrong – International Journal of Social Research Methodology, 2024
Previous research extensively studied reasons for and ways to avoid low response rates, but it largely ignored the primary research issue of the degree to which response rates matter, which we address. Methodological survey research on response rates has been concerned with how to increase responsiveness and with the effects of response rates on…
Descriptors: Surveys, Response Rates (Questionnaires), Effect Size, Research Methodology
Liu, Jin; Perera, Robert A.; Kang, Le; Sabo, Roy T.; Kirkpatrick, Robert M. – Journal of Educational and Behavioral Statistics, 2022
This study proposes transformation functions and matrices between coefficients in the original and reparameterized parameter spaces for an existing linear-linear piecewise model to derive the interpretable coefficients directly related to the underlying change pattern. Additionally, the study extends the existing model to allow individual…
Descriptors: Longitudinal Studies, Statistical Analysis, Matrices, Mathematics
Oleson, Jacob J.; Jones, Michelle A.; Jorgensen, Erik J.; Wu, Yu-Hsiang – Journal of Speech, Language, and Hearing Research, 2022
Purpose: The analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies. Method: EMA data are collected in a variety of ways,…
Descriptors: Experience, Surveys, Measurement Techniques, Statistical Analysis
Schroeders, Ulrich; Schmidt, Christoph; Gnambs, Timo – Educational and Psychological Measurement, 2022
Careless responding is a bias in survey responses that disregards the actual item content, constituting a threat to the factor structure, reliability, and validity of psychological measurements. Different approaches have been proposed to detect aberrant responses such as probing questions that directly assess test-taking behavior (e.g., bogus…
Descriptors: Response Style (Tests), Surveys, Artificial Intelligence, Identification
Wendy Castillo; Rachel Renbarger; Sasha Mejia-Bradford; Christen Priddie; Juan Cruz; Brein Mosely; Katherine Aragon – Annenberg Institute for School Reform at Brown University, 2025
Education policy research aimed at eliminating racism necessitates methodological innovation that fosters both equity-centered approaches and robust empirical analysis of the systemic nature of racism. Most quantitative research in educational psychology omits the racist environment that students in K-12 education exist in (DeCuir-Gunby &…
Descriptors: Racism, Elementary Secondary Education, Racial Discrimination, Surveys
Balestrini, Daniel Patrick; Stoeger, Heidrun; Ziegler, Albert – High Ability Studies, 2023
The authors introduce readers to quantitative text analysis and its potential for analyzing text-based nonreactive measures as a means of broadening the evidential basis within research on giftedness and talent. After defining quantitative text analysis and describing how it can augment survey studies for analyses at individual and cultural…
Descriptors: Statistical Analysis, Gifted, Talent Development, Gifted Education
Yajuan Si; Roderick J. A. Little; Ya Mo; Nell Sedransk – Journal of Educational and Behavioral Statistics, 2023
Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply these steps to the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011. A key step is the construction of indices of nonresponse bias based on proxy…
Descriptors: Educational Assessment, Response Rates (Questionnaires), Bias, Children
Christian Berggren; Bengt Gerdin; Solmaz Filiz Karabag – Journal of Academic Ethics, 2025
The exposure of scientific scandals and the increase of dubious research practices have generated a stream of studies on Questionable Research Practices (QRPs), such as failure to acknowledge co-authors, selective presentation of findings, or removal of data not supporting desired outcomes. In contrast to high-profile fraud cases, QRPs can be…
Descriptors: Test Construction, Test Bias, Test Format, Response Style (Tests)
Yuxiang Gao; Lauren Kennedy; Daniel Simpson; Andrew Gelman – Grantee Submission, 2021
A central theme in the field of survey statistics is estimating population-level quantities through data coming from potentially non-representative samples of the population. Multilevel regression and poststratification (MRP), a model-based approach, is gaining traction against the traditional weighted approach for survey estimates. MRP estimates…
Descriptors: Regression (Statistics), Statistical Analysis, Surveys, Computation
Simon Moss; Line Knudsen; Noémie Bourguignon; Martin Wood – UK Department for Education, 2025
This Technical Annex report sets out methodological and technical notes for the 2024 Technical Education Learner Survey. It accompanies two substantive reports -- 'Technical Education Learner Survey 2024: progression of the 2nd T Level cohort' and 'Technical Education Learner Survey 2024: progression of Level 4/5 learners'. The main body of the…
Descriptors: Foreign Countries, Career and Technical Education, Educational Research, Research Methodology
Johnson, Michael Lee; Sedory, Stephen A.; Singh, Sarjinder – Sociological Methods & Research, 2019
In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…
Descriptors: Scores, Surveys, Responses, Models
Fu, Qiang; Guo, Xin; Land, Kenneth C. – Sociological Methods & Research, 2020
Count responses with grouping and right censoring have long been used in surveys to study a variety of behaviors, status, and attitudes. Yet grouping or right-censoring decisions of count responses still rely on arbitrary choices made by researchers. We develop a new method for evaluating grouping and right-censoring decisions of count responses…
Descriptors: Surveys, Artificial Intelligence, Evaluation Methods, Probability
Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
Martínez, Sergio; Rueda, Maria; Arcos, Antonio; Martínez, Helena – Sociological Methods & Research, 2020
This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived…
Descriptors: Computation, Regression (Statistics), Statistical Analysis, Population Groups

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