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Keusch, Florian; Bähr, Sebastian; Haas, Georg-Christoph; Kreuter, Frauke; Trappmann, Mark – Sociological Methods & Research, 2023
Researchers are combining self-reports from mobile surveys with passive data collection using sensors and apps on smartphones increasingly more often. While smartphones are commonly used in some groups of individuals, smartphone penetration is significantly lower in other groups. In addition, different operating systems (OSs) limit how mobile data…
Descriptors: National Surveys, Computer Software, Telecommunications, Handheld Devices
Stephan Scrofani – ProQuest LLC, 2023
The theoretical basis of the proposed study is drawn from an ecological-transactional (Lynch & Cicchetti, 1998) systems approach to development, which focuses on contexts, and correspondingly, overlays the gender affirmative model's (GAM) transactional model of support (Keomeier & Ehrensaft, 2018) to reveal protection in the school…
Descriptors: Sex Fairness, Equal Education, Educational Environment, High School Students
Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
Joshua B. Gilbert; James S. Kim; Luke W. Miratrix – Annenberg Institute for School Reform at Brown University, 2024
Longitudinal models of individual growth typically emphasize between-person predictors of change but ignore how growth may vary "within" persons because each person contributes only one point at each time to the model. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift…
Descriptors: Vocabulary Development, Item Response Theory, Test Items, Student Development
Joshua B. Gilbert; James S. Kim; Luke W. Miratrix – Applied Measurement in Education, 2024
Longitudinal models typically emphasize between-person predictors of change but ignore how growth varies "within" persons because each person contributes only one data point at each time. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift over time. While traditionally…
Descriptors: Vocabulary Development, Item Response Theory, Test Items, Student Development
Ozdemir, Burhanettin; Gelbal, Selahattin – Education and Information Technologies, 2022
The computerized adaptive tests (CAT) apply an adaptive process in which the items are tailored to individuals' ability scores. The multidimensional CAT (MCAT) designs differ in terms of different item selection, ability estimation, and termination methods being used. This study aims at investigating the performance of the MCAT designs used to…
Descriptors: Scores, Computer Assisted Testing, Test Items, Language Proficiency
Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Ziying Li; A. Corinne Huggins-Manley; Walter L. Leite; M. David Miller; Eric A. Wright – Educational and Psychological Measurement, 2022
The unstructured multiple-attempt (MA) item response data in virtual learning environments (VLEs) are often from student-selected assessment data sets, which include missing data, single-attempt responses, multiple-attempt responses, and unknown growth ability across attempts, leading to a complex and complicated scenario for using this kind of…
Descriptors: Sequential Approach, Item Response Theory, Data, Simulation
Alinaghi, Nazila; Reed, W. Robert – Research Synthesis Methods, 2018
This paper studies the performance of the FAT-PET-PEESE (FPP) procedure, a commonly employed approach for addressing publication bias in the economics and business meta-analysis literature. The FPP procedure is generally used for 3 purposes: (1) to test whether a sample of estimates suffers from publication bias, (2) to test whether the estimates…
Descriptors: Meta Analysis, Publications, Statistical Bias, Simulation
A Comparison of Procedures for Estimating Person Reliability Parameters in the Graded Response Model
LaHuis, David M.; Bryant-Lees, Kinsey B.; Hakoyama, Shotaro; Barnes, Tyler; Wiemann, Andrea – Journal of Educational Measurement, 2018
Person reliability parameters (PRPs) model temporary changes in individuals' attribute level perceptions when responding to self-report items (higher levels of PRPs represent less fluctuation). PRPs could be useful in measuring careless responding and traitedness. However, it is unclear how well current procedures for estimating PRPs can recover…
Descriptors: Comparative Analysis, Reliability, Error of Measurement, Measurement Techniques
Beatriz Lucas-Molina; Alicia Pérez-Albéniz; Adriana Díez-Gómez; Eduardo Fonseca-Pedrero – School Mental Health, 2025
The role of feelings of belonging at school in adolescents' academic and psychological functioning is well established. This study aimed to validate the School Connectedness subscale from the Maryland Safe and Supportive Schools (MDS3) School Climate Survey for secondary school students in Spain. This subscale encompasses the three key dimensions…
Descriptors: Student School Relationship, Rating Scales, School Safety, Validity
Rap, Robyn; Paxton, Pamela – Sociological Methods & Research, 2021
Questions on voluntary association memberships have been used extensively in social scientific research for decades. Researchers generally assume that these respondent self-reports are accurate, but their measurement has never been assessed. Respondent characteristics are known to influence the accuracy of other self-report variables such as…
Descriptors: Accuracy, Measurement Techniques, Error of Measurement, Voluntary Agencies
Tekin, Yusuf Taner; Aktan, Derya Cobanoglu – International Journal of Assessment Tools in Education, 2021
The purpose of this research is to examine measurement invariance of collaborative problem solving skills measured by PISA 2015 Xandar subtest for Singapore, Norway, and Turkey. The research was conducted with 2990 participants' data obtained from Turkey (1032), Norway (923), and Singapore (1035) on PISA 2015 collaborative problem solving study.…
Descriptors: Error of Measurement, Cooperative Learning, Problem Solving, Thinking Skills
Ellison, George T. H. – Journal of Statistics and Data Science Education, 2021
Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…
Descriptors: Statistics Education, Medical Education, Undergraduate Students, Graphs
Brendan Bartanen; Aliza Husain; David Liebowitz; Lorna Porter – Society for Research on Educational Effectiveness, 2021
Background/Context: School principals have long played a central role in managing building operations and supervising school employees. Over the past two decades, however, policy developments--including site-based management, external accountability measures, and teacher evaluation systems--have increased expectations that principals also improve…
Descriptors: Principals, Administrator Effectiveness, Administrator Role, Educational Environment

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