NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 1,441 to 1,455 of 3,316 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Shaojing; Konold, Timothy R.; Fan, Xitao – Journal of Experimental Education, 2011
Interest in testing interaction terms within the latent variable modeling framework has been on the rise in recent years. However, little is known about the influence of nonnormality and model misspecification on such models that involve latent variable interactions. The authors used Mattson's data generation method to control for latent variable…
Descriptors: Structural Equation Models, Interaction, Sample Size, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Guo, Hongwen; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2011
Nonparametric or kernel regression estimation of item response curves (IRCs) is often used in item analysis in testing programs. These estimates are biased when the observed scores are used as the regressor because the observed scores are contaminated by measurement error. Accuracy of this estimation is a concern theoretically and operationally.…
Descriptors: Testing Programs, Measurement, Item Analysis, Error of Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Roberts, James S.; Thompson, Vanessa M. – Applied Psychological Measurement, 2011
A marginal maximum a posteriori (MMAP) procedure was implemented to estimate item parameters in the generalized graded unfolding model (GGUM). Estimates from the MMAP method were compared with those derived from marginal maximum likelihood (MML) and Markov chain Monte Carlo (MCMC) procedures in a recovery simulation that varied sample size,…
Descriptors: Statistical Analysis, Markov Processes, Computation, Monte Carlo Methods
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Dimoliatis, Ioannis D. K.; Jelastopulu, Eleni – Universal Journal of Educational Research, 2013
The surgical theatre educational environment measures STEEM, OREEM and mini-STEEM for students (student-STEEM) comprise an up to now disregarded systematic overestimation (OE) due to inaccurate percentage calculation. The aim of the present study was to investigate the magnitude of and suggest a correction for this systematic bias. After an…
Descriptors: Educational Environment, Scores, Grade Prediction, Academic Standards
Peer reviewed Peer reviewed
Direct linkDirect link
Hsieh, Mingchuan – Language Assessment Quarterly, 2013
The Yes/No Angoff and Bookmark method for setting standards on educational assessment are currently two of the most popular standard-setting methods. However, there is no research into the comparability of these two methods in the context of language assessment. This study compared results from the Yes/No Angoff and Bookmark methods as applied to…
Descriptors: Standard Setting (Scoring), Comparative Analysis, Language Tests, Multiple Choice Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Boeve-de Pauw, Jelle; Van Petegem, Peter – Environment and Behavior, 2013
Environmental values (EV) are regarded as significant precursors for environmental behavior (EB) by many scholars. The present study addresses the issue of the invariance of EV (tapped by the two-dimensional model of ecological values), and their effect on EB, across cultural contexts. In all, a total of 1,833 ten- to thirteen-year-old children…
Descriptors: Cross Cultural Studies, Foreign Countries, Cultural Context, Environmental Education
Peer reviewed Peer reviewed
Direct linkDirect link
Hansson, Ase; Gustafsson, Jan-Eric – Scandinavian Journal of Educational Research, 2013
Socioeconomic status (SES) is often used as control variable when relations between academic outcomes and students' migrational background are investigated. When measuring SES, indicators used must have the same meaning across groups. This study aims to examine the measurement invariance of SES, using data from TIMSS, 2003. The study shows that a…
Descriptors: Socioeconomic Status, Error of Measurement, Immigrants, Outcomes of Education
Peer reviewed Peer reviewed
Direct linkDirect link
Olson, Richard K.; Hulslander, Jacqueline; Christopher, Micaela; Keenan, Janice M.; Wadsworth, Sally J.; Willcutt, Erik G.; Pennington, Bruce F.; DeFries, John C. – Annals of Dyslexia, 2013
Identical and fraternal twins (N = 540, age 8 to 18 years) were tested on three different measures of writing (Woodcock-Johnson III Tests of Achievement--Writing Samples and Writing Fluency; Handwriting Copy from the Group Diagnostic Reading and Aptitude Achievement Tests), three different language skills (phonological awareness, rapid naming, and…
Descriptors: Measurement, Achievement Tests, Genetics, Word Recognition
Yang, Ji Seung – ProQuest LLC, 2012
Nonlinear multilevel latent variable modeling has been suggested as an alternative to traditional hierarchical linear modeling to more properly handle measurement error and sampling error issues in contextual effects modeling. However, a nonlinear multilevel latent variable model requires significant computational effort because the estimation…
Descriptors: Hierarchical Linear Modeling, Computation, Maximum Likelihood Statistics, Mathematics
Carboni, Jessica A. – ProQuest LLC, 2012
Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most prevalent childhood disorders in the United States. Although many children with an ADHD diagnosis are prescribed medication to control symptoms, behavioral concerns are still regularly noted in the classroom, home, and other settings. Therefore, school psychologists are often…
Descriptors: Elementary School Students, Clinical Diagnosis, Attention Deficit Hyperactivity Disorder, Attention Control
Peer reviewed Peer reviewed
Direct linkDirect link
Gemici, Sinan; Bednarz, Alice; Lim, Patrick – International Journal of Training Research, 2012
Quantitative research in vocational education and training (VET) is routinely affected by missing or incomplete information. However, the handling of missing data in published VET research is often sub-optimal, leading to a real risk of generating results that can range from being slightly biased to being plain wrong. Given that the growing…
Descriptors: Vocational Education, Educational Research, Data, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Depaoli, Sarah – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Parameter recovery was assessed within mixture confirmatory factor analysis across multiple estimator conditions under different simulated levels of mixture class separation. Mixture class separation was defined in the measurement model (through factor loadings) and the structural model (through factor variances). Maximum likelihood (ML) via the…
Descriptors: Markov Processes, Factor Analysis, Statistical Bias, Evaluation Research
Peer reviewed Peer reviewed
Direct linkDirect link
Barakat, Bilal Fouad – International Journal of Educational Development, 2012
The number of years a child of school-entry age can expect to remain in school is of great interest both as a measure of individual human capital and of the performance of an education system. An approximate indicator of this concept is the sum of age-specific enrolment rates. The relatively low data demands of this indicator that are feasible to…
Descriptors: Human Capital, Measurement Techniques, Simulation, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Fritz, Matthew S.; Taylor, Aaron B.; MacKinnon, David P. – Multivariate Behavioral Research, 2012
Previous studies of different methods of testing mediation models have consistently found two anomalous results. The first result is elevated Type I error rates for the bias-corrected and accelerated bias-corrected bootstrap tests not found in nonresampling tests or in resampling tests that did not include a bias correction. This is of special…
Descriptors: Statistical Analysis, Error of Measurement, Statistical Bias, Sampling
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Palardy, Gregory J.; Peng, Luyao – Education Policy Analysis Archives, 2015
This study examines the effects of including the summer period on value-added assessments (VAA) of teacher and school performance at the early grades. The results indicate that 40-62% of the variance in VAA estimates originates from the summer period, depending on the outcome (i.e., reading or math achievement gains). Furthermore, when summer is…
Descriptors: Value Added Models, Performance Based Assessment, Teacher Effectiveness, School Effectiveness
Pages: 1  |  ...  |  93  |  94  |  95  |  96  |  97  |  98  |  99  |  100  |  101  |  ...  |  222