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Zhou, Todd; Jiao, Hong – Educational and Psychological Measurement, 2023
Cheating detection in large-scale assessment received considerable attention in the extant literature. However, none of the previous studies in this line of research investigated the stacking ensemble machine learning algorithm for cheating detection. Furthermore, no study addressed the issue of class imbalance using resampling. This study…
Descriptors: Cheating, Measurement, Artificial Intelligence, Algorithms
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Winton, Bradley G.; Sabol, Misty A. – International Journal of Social Research Methodology, 2022
Convenience sampling dominates social science research. But there is a paucity of studies comparing the impact of sample source type based on composite-based theoretical model relationships. This study empirically tests four different sample sources (e.g. student, crowdsourced, professional panel, and respondent driven social network) to assess…
Descriptors: Sampling, Sample Size, Social Science Research, Measurement
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Vanessa Hus Bal; Peter Szatmari; Stelios Georgiades; Stephen J. Gentles; Jessica Girault; Patricia Howlin; Meng-Chuan Lai; Virginia Carter Leno; Catherine Lord; Katie Madgett; Stephen J. Sheinkopf; Emily Simonoff; Zachary J. Williams; Lonnie Zwaigenbaum; Alycia Halladay – Autism: The International Journal of Research and Practice, 2025
Longitudinal research in autism has contributed a wealth of knowledge about etiological factors, development from childhood through adulthood, life course changes and needs, as well as longer-term adult outcomes for individuals on the spectrum and their family members. This research is essential to better understand the needs of individuals as…
Descriptors: Autism Spectrum Disorders, Etiology, Longitudinal Studies, Individual Needs
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Nuria Real-Brioso; Eduardo Estrada; Pablo F. Cáncer – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Accelerated longitudinal designs (ALDs) provide an opportunity to capture long developmental periods in a shorter time framework using a relatively small number of assessments. Prior literature has investigated whether univariate developmental processes can be characterized with data obtained from ALDs. However, many important questions in…
Descriptors: Longitudinal Studies, Psychology, Cognitive Development, Brain Hemisphere Functions
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Weicong Lyu; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Data harmonization is an emerging approach to strategically combining data from multiple independent studies, enabling addressing new research questions that are not answerable by a single contributing study. A fundamental psychometric challenge for data harmonization is to create commensurate measures for the constructs of interest across…
Descriptors: Data Analysis, Test Items, Psychometrics, Item Response Theory
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Castellano, Katherine E.; McCaffrey, Daniel F.; Lockwood, J. R. – Journal of Educational Measurement, 2023
The simple average of student growth scores is often used in accountability systems, but it can be problematic for decision making. When computed using a small/moderate number of students, it can be sensitive to the sample, resulting in inaccurate representations of growth of the students, low year-to-year stability, and inequities for…
Descriptors: Academic Achievement, Accountability, Decision Making, Computation
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Leslie Rutkowski; David Rutkowski – Journal of Creative Behavior, 2025
The Programme for International Student Assessment (PISA) introduced creative thinking as an innovative domain in 2022. This paper examines the unique methodological issues in international assessments and the implications of measuring creative thinking within PISA's framework, including stratified sampling, rotated form designs, and a distinct…
Descriptors: Creativity, Creative Thinking, Measurement, Sampling
Pentimonti, J.; Petscher, Y.; Stanley, C. – National Center on Improving Literacy, 2019
Sample representativeness is an important piece to consider when evaluating the quality of a screening assessment. If you are trying to determine whether or not the screening tool accurately measures children's skills, you want to ensure that the sample that is used to validate the tool is representative of your population of interest.
Descriptors: Sampling, Screening Tests, Measurement, Test Validity
Kino Zhao – ProQuest LLC, 2021
This dissertation is composed of projects on three aspects of gathering and learning from data in the social sciences: drawing representative samples, taking valid measurement, and making warranted inductive inferences. Chapter one studies the challenge of drawing representative human samples. It is well documented that most samples used by…
Descriptors: Social Sciences, Data Collection, Data Use, Educational Research
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Wentzel, Kathryn R. – Educational Psychologist, 2021
In this article, I comment on the potential benefits and limitations of open science reforms for improving the transparency and accountability of research, and enhancing the credibility of research findings within communities of policy and practice. Specifically, I discuss the role of replication and reproducibility of research in promoting better…
Descriptors: Access to Information, Research, Credibility, Replication (Evaluation)
Bramley, Tom – Research Matters, 2020
The aim of this study was to compare, by simulation, the accuracy of mapping a cut-score from one test to another by expert judgement (using the Angoff method) versus the accuracy with a small-sample equating method (chained linear equating). As expected, the standard-setting method resulted in more accurate equating when we assumed a higher level…
Descriptors: Cutting Scores, Standard Setting (Scoring), Equated Scores, Accuracy
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Jacobs, Perke; Viechtbauer, Wolfgang – Research Synthesis Methods, 2017
Meta-analyses are often used to synthesize the findings of studies examining the correlational relationship between two continuous variables. When only dichotomous measurements are available for one of the two variables, the biserial correlation coefficient can be used to estimate the product-moment correlation between the two underlying…
Descriptors: Sampling, Correlation, Meta Analysis, Measurement
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Vie, Jill-Jênn; Popineau, Fabrice; Bruillard, Éric; Bourda, Yolaine – International Journal of Artificial Intelligence in Education, 2018
In large-scale assessments such as the ones encountered in MOOCs, a lot of usage data is available because of the number of learners involved. Newcomers, that just arrive on a MOOC, have various backgrounds in terms of knowledge, but the platform hardly knows anything about them. Therefore, it is crucial to elicit their knowledge fast, in order to…
Descriptors: Automation, Test Construction, Measurement, Online Courses
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Adang, Otto M. J. – Sociological Methods & Research, 2018
The article outlines a methodology for systematically observing collective violence (and public order policing in relation to it). Specific attention is given to matters of sampling and measurement and to the way in which observational challenges have been met in comparison with participant observational studies of demonstrations and football…
Descriptors: Observation, Violence, Law Enforcement, Research Methodology
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Uçan, Izzet – Journal of Education and Training Studies, 2018
The main purpose of this study was prediction of elite male trampolines performance based on the selected physical capabilities in different age categories. To this aim, 45 male athletes (age 14.17 ± 2.86 yrs, athletic experience 7.22 ± 3.64 yrs and competitive experience 3.31 ± 2.44 yrs), who participated in the national trampoline team's…
Descriptors: Physical Fitness, Athletes, Multiple Regression Analysis, Correlation
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