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Direct linkCaniëls, Marjolein C. J.; de Jong, Jeroen P.; Sibbel, Hannes – Creativity Research Journal, 2022
In this study, we investigate how the level of work control predictability affects employee creativity. Specifically, we examine whether supervisor and coworker support moderate the predictability-creativity relationship. We use survey data from 128 employee--supervisor dyads from a governmental organization in Belgium. Multilevel analyses…
Descriptors: Correlation, Prediction, Comparative Analysis, Creativity
Wang, Faming; Wang, Yehui; Liu, Yaping; Leung, Shing On – Scandinavian Journal of Educational Research, 2023
The importance of the opportunity to learn (OTL) for mathematics achievement has been extensively researched. However, there were still unanswered questions regarding OTL's measurement, analytical level, and relationship with motivational beliefs. To fill in the gaps, we aimed to (1) scrutinize the reliability and validity of OTL, (2) investigate…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
Download full textScott, Marc A.; Diakow, Ronli; Hill, Jennifer L.; Middleton, Joel A. – Grantee Submission, 2018
We are concerned with the unbiased estimation of a treatment effect in the context of non-experimental studies with grouped or multilevel data. When analyzing such data with this goal, practitioners typically include as many predictors (controls) as possible, in an attempt to satisfy ignorability of the treatment assignment. In the multilevel…
Descriptors: Statistical Bias, Computation, Comparative Analysis, Hierarchical Linear Modeling
Bokhove, Christian; Muijs, Daniel – Oxford Review of Education, 2019
Policy changes in the higher education landscape have given way to increased interest in the way students perceive engagement in UK higher education. This paper examines whether we can reliably distinguish between institutions and disciplines, and what key student and institutional variables are a predictor of engagement of undergraduate students.…
Descriptors: Comparative Analysis, Learner Engagement, Universities, Evidence
Grund, Simon; Lüdtke, Oliver; Robitzsch, Alexander – Journal of Educational and Behavioral Statistics, 2018
Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…
Descriptors: Statistical Analysis, Data, Comparative Analysis, Hierarchical Linear Modeling
Atas, Dogu; Karadag, Özge – Journal of Language and Linguistic Studies, 2017
In the field of education, most of the data collected are multi-level structured. Cities, city based schools, school based classes and finally students in the classrooms constitute a hierarchical structure. Hierarchical linear models give more accurate results compared to standard models when the data set has a structure going far as individuals,…
Descriptors: Hierarchical Linear Modeling, Foreign Countries, Achievement Tests, International Assessment
Baird, Jo-Anne; Meadows, Michelle; Leckie, George; Caro, Daniel – Assessment in Education: Principles, Policy & Practice, 2017
This study evaluated rater accuracy with rater-monitoring data from high stakes examinations in England. Rater accuracy was estimated with cross-classified multilevel modelling. The data included face-to-face training and monitoring of 567 raters in 110 teams, across 22 examinations, giving a total of 5500 data points. Two rater-monitoring systems…
Descriptors: Foreign Countries, High Stakes Tests, Accuracy, Hierarchical Linear Modeling
Vogl, Katharina; Schmidt, Isabelle; Preckel, Franzis – Journal of Educational Research, 2018
The authors examined the big-fish-little-pond effect (BFLPE) on academic self-concept (ASC) using different indicators of academic ability (i.e., achievement test, cognitive ability test, grades corrected for grading-on-a-curve effects, uncorrected grades). They investigated under what circumstances grades are suitable indicators of academic…
Descriptors: Foreign Countries, Academic Ability, Educational Indicators, Comparative Analysis
Yang, Eunbae B.; Lee, Myung Ae; Park, Yoon Soo – Advances in Health Sciences Education, 2018
In 2012, the National Health Personnel Licensing Examination Board of Korea decided to publicly disclose all test items and answers to satisfy the test takers' right to know and enhance the transparency of tests administered by the government. This study investigated the effects of item disclosure on the medical licensing examination (MLE),…
Descriptors: Certification, Foreign Countries, Test Items, Disclosure
Lipps, Oliver – Field Methods, 2016
I analyze the effects of household sociodemography, interviewer performance in the current survey, and fieldwork characteristics on cooperation in a central telephone survey, where households with no publicly listed landline number receive face-to-face visits. Using the 2013 refreshment sample of the Swiss Household Panel, I employ…
Descriptors: Cooperation, Surveys, Telephone Surveys, Comparative Analysis
Anglim, Jeromy; Wynton, Sarah K. A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
The current study used Bayesian hierarchical methods to challenge and extend previous work on subtask learning consistency. A general model of individual-level subtask learning was proposed focusing on power and exponential functions with constraints to test for inconsistency. To study subtask learning, we developed a novel computer-based booking…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Learning, Statistical Analysis
Uink, Bep Norma; Modecki, Kathryn Lynn; Barber, Bonnie L. – International Journal of Behavioral Development, 2017
Previous Experience Sampling Method (ESM) studies demonstrate that adolescents' daily emotional states are heavily influenced by their immediate social context. However, despite adolescence being a risk period for exposure to daily stressors, research has yet to examine the influence of peers on adolescents' emotional responses to stressors…
Descriptors: Disadvantaged Youth, Psychological Patterns, Stress Variables, Peer Influence
Evers, Arne; McCormick, Carina M.; Hawley, Leslie R.; Muñiz, José; Balboni, Giulia; Bartram, Dave; Boben, Dusica; Egeland, Jens; El-Hassan, Karma; Fernández-Hermida, José R.; Fine, Saul; Frans, Örjan; Gintiliené, Grazina; Hagemeister, Carmen; Halama, Peter; Iliescu, Dragos; Jaworowska, Aleksandra; Jiménez, Paul; Manthouli, Marina; Matesic, Krunoslav; Michaelsen, Lars; Mogaji, Andrew; Morley-Kirk, James; Rózsa, Sándor; Rowlands, Lorraine; Schittekatte, Mark; Sümer, H. Canan; Suwartono, Tono; Urbánek, Tomáš; Wechsler, Solange; Zelenevska, Tamara; Zanev, Svetoslav; Zhang, Jianxin – International Journal of Testing, 2017
On behalf of the International Test Commission and the European Federation of Psychologists' Associations a world-wide survey on the opinions of professional psychologists on testing practices was carried out. The main objective of this study was to collect data for a better understanding of the state of psychological testing worldwide. These data…
Descriptors: Testing, Attitudes, Surveys, Psychologists
Opitz, Elisabeth Moser; Grob, Urs; Wittich, Claudia; Häsel-Weide, Uta; Nührenbörger, Marcus – Learning Disabilities: A Contemporary Journal, 2018
Fostering peer interaction and shared learning is an important aim of inclusive instruction. However, it has not been established whether it is possible to offer explicit and intensive support for low achievers in inclusive settings. This longitudinal study examined whether a structured program that includes cooperative learning fosters…
Descriptors: Inclusion, Longitudinal Studies, Cooperative Learning, Competence
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
