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Direct linkJulian F. Lohmann; Steffen Zitzmann; Martin Hecht – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…
Descriptors: Time Management, Behavioral Science Research, Predictive Validity, Predictor Variables
Sanhokwe, Hamfrey; Chinyamurindi, Willie; Muzurura, Joe – Journal of Workplace Learning, 2023
Purpose: This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model. Design/methodology/approach: A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup…
Descriptors: Organizational Learning, Measurement, Models, Foreign Countries
Blaine G. Robbins – Sociological Methods & Research, 2024
The Stranger Face Trust scale (SFT) and Imaginary Stranger Trust scale (IST) are two new self-report measures of generalized trust that assess trust in strangers--both real and imaginary--across four trust domains. Prior research has established the reliability and validity of SFT and IST, but a number of measurement validation tests remain.…
Descriptors: Attitude Measures, Trust (Psychology), Stranger Reactions, Pretests Posttests
Goulet, Julie; Morizot, Julien – Learning Environments Research, 2023
School climate is an essential ingredient of student well-being and academic success. Although it has been studied extensively, only a few well-validated instruments are available for the assessment of school climate. The aim of this study was to assess the factor validity and measurement invariance of the Socio-educational Environment…
Descriptors: Questionnaires, Educational Environment, Longitudinal Studies, Factor Structure
Dierendonck, Christophe; Milmeister, Paul; Kerger, Sylvie; Poncelet, Débora – International Journal of Behavioral Development, 2020
Few studies have used exploratory factor analysis (EFA) and exploratory bifactor factor analysis (EBFA) to define a baseline factor structure model checking the construct-relevant psychometric multidimensionality of student engagement. This study was conducted on a sample of 3,374 students in France, Wallonia-Brussels Federation, and Luxembourg by…
Descriptors: Learner Engagement, Behavior Problems, Foreign Countries, Secondary School Students
Download full textDurand, Guillaume; Goutte, Cyril; Léger, Serge – International Educational Data Mining Society, 2018
Knowledge tracing is a fundamental area of educational data modeling that aims at gaining a better understanding of the learning occurring in tutoring systems. Knowledge tracing models fit various parameters on observed student performance and are evaluated through several goodness of fit metrics. Fitted parameter values are of crucial interest in…
Descriptors: Error of Measurement, Models, Goodness of Fit, Predictive Validity
Algesheimer, René; Bagozzi, Richard P.; Dholakia, Utpal M. – Sociological Methods & Research, 2018
We offer a new conceptualization and measurement models for constructs at the group-level of analysis in small group research. The conceptualization starts with classical notions of group behavior proposed by Tönnies, Simmel, and Weber and then draws upon plural subject theory by philosophers Gilbert and Tuomela to frame a new perspective…
Descriptors: Models, Groups, Group Behavior, Theories
Matthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
Stutz, Franziska; Schaffner, Ellen; Schiefele, Ulrich – Journal of Research in Reading, 2017
In order to initiate more research on the role of reading motivation during the initial stages of learning to comprehend texts, we developed the "Reading Motivation Questionnaire for Elementary Students" (RMQ-E). The sample comprised 1497 elementary students in Grades 1-3. By means of exploratory and confirmatory factor analyses, three…
Descriptors: Questionnaires, Reading Motivation, Elementary School Students, Test Validity
Pfaffel, Andreas; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
Approaches to correcting correlation coefficients for range restriction have been developed under the framework of large sample theory. The accuracy of missing data techniques for correcting correlation coefficients for range restriction has thus far only been investigated with relatively large samples. However, researchers and evaluators are…
Descriptors: Correlation, Sample Size, Error of Measurement, Accuracy
Mortaz Hejri, Sara; Yazdani, Kamran; Labaf, Ali; Norcini, John J.; Jalili, Mohammad – Advances in Health Sciences Education, 2016
In a sequential OSCE which has been suggested to reduce testing costs, candidates take a short screening test and who fail the test, are asked to take the full OSCE. In order to introduce an effective and accurate sequential design, we developed a model for designing and evaluating screening OSCEs. Based on two datasets from a 10-station…
Descriptors: Models, Instructional Design, Sequential Approach, Medical Students
Arnesen, Anne; Braeken, Johan; Baker, Scott; Meek-Hansen, Wilhelm; Ogden, Terje; Melby-Lervåg, Monica – Reading Research Quarterly, 2017
This study investigated an adaptation of the Oral Reading Fluency (ORF) measure of the Dynamic Indicators of Basic Early Literacy Skills into a European context for the Norwegian language, which has a more transparent orthography than English. Second-order latent growth curve modeling was used to examine the longitudinal measurement invariance of…
Descriptors: Oral Reading, Reading Fluency, Elementary School Students, Longitudinal Studies
Kern, Justin L.; McBride, Brent A.; Laxman, Daniel J.; Dyer, W. Justin; Santos, Rosa M.; Jeans, Laurie M. – Grantee Submission, 2016
Measurement invariance (MI) is a property of measurement that is often implicitly assumed, but in many cases, not tested. When the assumption of MI is tested, it generally involves determining if the measurement holds longitudinally or cross-culturally. A growing literature shows that other groupings can, and should, be considered as well.…
Descriptors: Psychology, Measurement, Error of Measurement, Measurement Objectives
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
A latent variable modeling method is outlined, which accomplishes estimation of criterion validity and reliability for a multicomponent measuring instrument with hierarchical structure. The approach provides point and interval estimates for the scale criterion validity and reliability coefficients, and can also be used for testing composite or…
Descriptors: Predictive Validity, Reliability, Structural Equation Models, Measures (Individuals)
Scott-Clayton, Judith; Crosta, Peter M.; Belfield, Clive R. – Educational Evaluation and Policy Analysis, 2014
Remediation is one of the largest single interventions intended to improve outcomes for underprepared college students, yet little is known about the remedial screening process. Using administrative data and a rich predictive model, we find that severe mis-assignments are common using current test-score-cutoff-based policies, with…
Descriptors: Remedial Instruction, Remedial Programs, College Students, Screening Tests
