NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 286 to 300 of 2,831 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Boumi, Shahab; Vela, Adan Ernesto – Education Sciences, 2020
American universities use a procedure based on a rolling six-year graduation rate to calculate statistics regarding their students' final educational outcomes (graduating or not graduating). As an alternative to the six-year graduation rate method, many studies have applied absorbing Markov chains for estimating graduation rates. In both cases, a…
Descriptors: Graduation Rate, Computation, Markov Processes, Accuracy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sata, Mehmet; Elkonca, Fuat – International Journal of Contemporary Educational Research, 2020
The aim of the study is to analyze how classification performances change in accordance with sample size in logistic regression and CHAID analyses. The dataset used in this study was obtained by means of "Attentional Control Scale." The scale was applied to 1824 students and the analyses were done by randomly choosing the samples from…
Descriptors: Classification, Regression (Statistics), Statistical Analysis, Sample Size
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Jianxin – Journal of Technical Writing and Communication, 2020
This article reports on a revised move analysis of a video abstract (VA) repository curated by Cell Press. The analysis reveals that the VA displays several distinct core moves, optional moves, and move units. The analysis suggests that albeit evidence being inconclusive due to the sample size, the VA is in effect an emerging genre whose…
Descriptors: Video Technology, Periodicals, Publishing Industry, Documentation
Peer reviewed Peer reviewed
Direct linkDirect link
Fujimoto, Ken A.; Neugebauer, Sabina R. – Educational and Psychological Measurement, 2020
Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Factor Structure
Peer reviewed Peer reviewed
Direct linkDirect link
Fu, Yanyan; Strachan, Tyler; Ip, Edward H.; Willse, John T.; Chen, Shyh-Huei; Ackerman, Terry – International Journal of Testing, 2020
This research examined correlation estimates between latent abilities when using the two-dimensional and three-dimensional compensatory and noncompensatory item response theory models. Simulation study results showed that the recovery of the latent correlation was best when the test contained 100% of simple structure items for all models and…
Descriptors: Item Response Theory, Models, Test Items, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Beauducel, André; Kersting, Martin – Educational and Psychological Measurement, 2020
We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor…
Descriptors: Factor Structure, Factor Analysis, Sample Size, Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Shi, Dexin; Lee, Taehun; Fairchild, Amanda J.; Maydeu-Olivares, Alberto – Educational and Psychological Measurement, 2020
This study compares two missing data procedures in the context of ordinal factor analysis models: pairwise deletion (PD; the default setting in Mplus) and multiple imputation (MI). We examine which procedure demonstrates parameter estimates and model fit indices closer to those of complete data. The performance of PD and MI are compared under a…
Descriptors: Factor Analysis, Statistical Analysis, Computation, Goodness of Fit
Marcus A. Fagan – ProQuest LLC, 2020
Previous research has individually assessed parallel analysis and minimum average partial for factor retention in exploratory factor analysis using ordinal variables. The current study is a comprehensive simulation study including the manipulation of eight conditions (type of correlation matrix, sample size, number of variables per factor, number…
Descriptors: Retention (Psychology), Factor Analysis, Correlation, Matrices
Peer reviewed Peer reviewed
Direct linkDirect link
Johnsen, Sarah; Watson, Kristen; Erford, Bradley T.; Crockett, Stephanie A.; Byrd, Rebekah – Counselor Education and Supervision, 2021
Patterns of articles published in "Counselor Education and Supervision" from 2000 to 2019 were reviewed, and analyses sought to identify trends over time in author characteristics (e.g., gender, work setting, leading individual contributors and universities) and article characteristics (e.g., type, topic, research design, sample size,…
Descriptors: Counselor Training, Supervision, Authors, Gender Differences
Peer reviewed Peer reviewed
Direct linkDirect link
Su, Shiyang; Wang, Chun; Weiss, David J. – Educational and Psychological Measurement, 2021
S-X[superscript 2] is a popular item fit index that is available in commercial software packages such as "flex"MIRT. However, no research has systematically examined the performance of S-X[superscript 2] for detecting item misfit within the context of the multidimensional graded response model (MGRM). The primary goal of this study was…
Descriptors: Statistics, Goodness of Fit, Test Items, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Mani, Nivedita; Schreiner, Melanie S.; Brase, Julia; Köhler, Katrin; Strassen, Katrin; Postin, Danilo; Schultze, Thomas – Developmental Science, 2021
Developmental research, like many fields, is plagued by low sample sizes and inconclusive findings. The problem is amplified by the difficulties associated with recruiting infant participants for research as well as the increased variability in infant responses. With sequential testing designs providing a viable alternative to paradigms facing…
Descriptors: Bayesian Statistics, Infants, Language Acquisition, Vocabulary
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Chunyan; Jurich, Daniel; Morrison, Carol; Grabovsky, Irina – Applied Measurement in Education, 2021
The existence of outliers in the anchor items can be detrimental to the estimation of examinee ability and undermine the validity of score interpretation across forms. However, in practice, anchor item performance can become distorted due to various reasons. This study compares the performance of modified "INFIT" and "OUTFIT"…
Descriptors: Equated Scores, Test Items, Item Response Theory, Difficulty Level
Peer reviewed Peer reviewed
Direct linkDirect link
Pavlov, Goran; Maydeu-Olivares, Alberto; Shi, Dexin – Educational and Psychological Measurement, 2021
We examine the accuracy of p values obtained using the asymptotic mean and variance (MV) correction to the distribution of the sample standardized root mean squared residual (SRMR) proposed by Maydeu-Olivares to assess the exact fit of SEM models. In a simulation study, we found that under normality, the MV-corrected SRMR statistic provides…
Descriptors: Structural Equation Models, Goodness of Fit, Simulation, Error of Measurement
Kayla Kleinman – ProQuest LLC, 2021
Continuous performance tests (CPTs) are frequently used to measure attention and impulsivity in children and adults during psychological and neuropsychological evaluations, often to inform differential diagnosis of Attention-Deficit Hyperactivity Disorder (ADHD). Despite the widespread clinical use of CPTs, the majority of research on their…
Descriptors: Attention Deficit Hyperactivity Disorder, Clinical Diagnosis, Diagnostic Tests, Performance Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Peter Schochet – Society for Research on Educational Effectiveness, 2021
Background: When RCTs are not feasible and time series data are available, panel data methods can be used to estimate treatment effects on outcomes, by exploiting variation in policies and conditions over time and across locations. A complication with these methods, however, is that treatment timing often varies across the sample, for example, due…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, COVID-19
Pages: 1  |  ...  |  16  |  17  |  18  |  19  |  20  |  21  |  22  |  23  |  24  |  ...  |  189