NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 15 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ruoxuan Li; Lijuan Wang – Grantee Submission, 2024
Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…
Descriptors: Social Science Research, Causal Models, Formative Evaluation, Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Robitzsch, Alexander; Lüdtke, Oliver – Large-scale Assessments in Education, 2023
One major aim of international large-scale assessments (ILSA) like PISA is to monitor changes in student performance over time. To accomplish this task, a set of common items (i.e., link items) is repeatedly administered in each assessment. Linking methods based on item response theory (IRT) models are used to align the results from the different…
Descriptors: Educational Trends, Trend Analysis, International Assessment, Achievement Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Duxbury, Scott W. – Sociological Methods & Research, 2023
This study shows that residual variation can cause problems related to scaling in exponential random graph models (ERGM). Residual variation is likely to exist when there are unmeasured variables in a model--even those uncorrelated with other predictors--or when the logistic form of the model is inappropriate. As a consequence, coefficients cannot…
Descriptors: Graphs, Scaling, Research Problems, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Willse, John T. – Measurement and Evaluation in Counseling and Development, 2017
This article provides a brief introduction to the Rasch model. Motivation for using Rasch analyses is provided. Important Rasch model concepts and key aspects of result interpretation are introduced, with major points reinforced using a simulation demonstration. Concrete guidelines are provided regarding sample size and the evaluation of items.
Descriptors: Item Response Theory, Test Results, Test Interpretation, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Bolt, Daniel M.; Deng, Sien; Lee, Sora – Journal of Educational Measurement, 2014
Functional form misfit is frequently a concern in item response theory (IRT), although the practical implications of misfit are often difficult to evaluate. In this article, we illustrate how seemingly negligible amounts of functional form misfit, when systematic, can be associated with significant distortions of the score metric in vertical…
Descriptors: Item Response Theory, Scaling, Goodness of Fit, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chen; Schneps, Matthew H.; Sonnert, Gerhard – Journal of Science Education and Technology, 2016
Teachers choosing between different models to facilitate students' understanding of an abstract system must decide whether to adopt a model that is simplified and striking or one that is realistic and complex. Only recently have instructional technologies enabled teachers and learners to change presentations swiftly and to provide for learning…
Descriptors: High School Students, Secondary School Science, Science Education, Models
Wesley, Alexa; Parnell, Amelia; Askin, Jacalyn – NASPA - Student Affairs Administrators in Higher Education, 2020
Higher education is deploying a range of innovative strategies in response to rising costs and financial challenges. This report presents findings from a NASPA [National Association of Student Personnel Administrators] study on cost-saving initiatives at three institutions. Each institution aimed to creatively address different areas affecting…
Descriptors: Higher Education, Cost Effectiveness, Professional Associations, Student Personnel Workers
Peer reviewed Peer reviewed
Direct linkDirect link
Straat, J. Hendrik; van der Ark, L. Andries; Sijtsma, Klaas – Educational and Psychological Measurement, 2014
An automated item selection procedure in Mokken scale analysis partitions a set of items into one or more Mokken scales, if the data allow. Two algorithms are available that pursue the same goal of selecting Mokken scales of maximum length: Mokken's original automated item selection procedure (AISP) and a genetic algorithm (GA). Minimum…
Descriptors: Sampling, Test Items, Effect Size, Scaling
Peer reviewed Peer reviewed
Direct linkDirect link
Morse, Brendan J.; Johanson, George A.; Griffeth, Rodger W. – Applied Psychological Measurement, 2012
Recent simulation research has demonstrated that using simple raw score to operationalize a latent construct can result in inflated Type I error rates for the interaction term of a moderated statistical model when the interaction (or lack thereof) is proposed at the latent variable level. Rescaling the scores using an appropriate item response…
Descriptors: Item Response Theory, Multiple Regression Analysis, Error of Measurement, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Charles, Karen; Canales, J. D.; Smith, Angela; Zimmerman, Natalie – Science Scope, 2012
Scale measurement and ratio and proportion are topics that fall clearly in the middle-grades mathematics curriculum in Texas. So does the solar system. In their experience, the authors have found that students have trouble manipulating, much less comprehending, very large numbers and very small numbers. These concepts can be brought into students'…
Descriptors: Mathematics Curriculum, Scaling, Astronomy, Measures (Individuals)
Kroopnick, Marc Howard – ProQuest LLC, 2010
When Item Response Theory (IRT) is operationally applied for large scale assessments, unidimensionality is typically assumed. This assumption requires that the test measures a single latent trait. Furthermore, when tests are vertically scaled using IRT, the assumption of unidimensionality would require that the battery of tests across grades…
Descriptors: Simulation, Scaling, Standard Setting, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Johnson, Emily C.; Meade, Adam W.; DuVernet, Amy M. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Confirmatory factor analytic tests of measurement invariance (MI) require a referent indicator (RI) for model identification. Although the assumption that the RI is perfectly invariant across groups is acknowledged as problematic, the literature provides relatively little guidance for researchers to identify the conditions under which the practice…
Descriptors: Measurement, Validity, Factor Analysis, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Custer, Michael; Omar, Md Hafidz; Pomplun, Mark – Applied Measurement in Education, 2006
This study compared vertical scaling results for the Rasch model from BILOG-MG and WINSTEPS. The item and ability parameters for the simulated vocabulary tests were scaled across 11 grades; kindergarten through 10th. Data were based on real data and were simulated under normal and skewed distribution assumptions. WINSTEPS and BILOG-MG were each…
Descriptors: Models, Scaling, Computer Software, Vocabulary
Way, Walter D.; Reese, Clyde M. – 1991
The use of two alternative item response theory (IRT) estimation models in the scaling and equating of the Test of English as a Foreign Language (TOEFL) was explored; and item scaling and test equating results based on these models were compared with results based on the three-parameter (3PL) model currently being used with the TOEFL. Models were…
Descriptors: Correlation, Equated Scores, Estimation (Mathematics), Goodness of Fit
Kommers, Piet, Ed.; Issa, Tomayess, Ed.; Issa, Theodora, Ed.; McKay, Elspeth, Ed.; Isias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers and posters of the International Conferences on Internet Technologies & Society (ITS 2016), Educational Technologies (ICEduTech 2016) and Sustainability, Technology and Education (STE 2016), which have been organised by the International Association for Development of the Information Society and…
Descriptors: Conferences (Gatherings), Foreign Countries, Internet, Educational Technology