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Showing 1 to 15 of 22 results Save | Export
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George Leckie; Richard Parker; Harvey Goldstein; Kate Tilling – Journal of Educational and Behavioral Statistics, 2024
School value-added models are widely applied to study, monitor, and hold schools to account for school differences in student learning. The traditional model is a mixed-effects linear regression of student current achievement on student prior achievement, background characteristics, and a school random intercept effect. The latter is referred to…
Descriptors: Academic Achievement, Value Added Models, Accountability, Institutional Characteristics
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Parsons, Eric; Koedel, Cory; Tan, Li – Journal of Educational and Behavioral Statistics, 2019
We study the relative performance of two policy-relevant value-added models--a one-step fixed effect model and a two-step aggregated residuals model--using a simulated data set well grounded in the value-added literature. A key feature of our data generating process is that student achievement depends on a continuous measure of economic…
Descriptors: Value Added Models, Economically Disadvantaged, Academic Achievement, Low Income Students
Lockwood, J. R.; Castellano, Katherine E.; Shear, Benjamin R. – Journal of Educational and Behavioral Statistics, 2018
This article proposes a flexible extension of the Fay--Herriot model for making inferences from coarsened, group-level achievement data, for example, school-level data consisting of numbers of students falling into various ordinal performance categories. The model builds on the heteroskedastic ordered probit (HETOP) framework advocated by Reardon,…
Descriptors: Bayesian Statistics, Mathematical Models, Statistical Inference, Computation
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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Castellano, Katherine E.; Ho, Andrew D. – Journal of Educational and Behavioral Statistics, 2015
Aggregate-level conditional status metrics (ACSMs) describe the status of a group by referencing current performance to expectations given past scores. This article provides a framework for these metrics, classifying them by aggregation function (mean or median), regression approach (linear mean and nonlinear quantile), and the scale that supports…
Descriptors: Expectation, Scores, Academic Achievement, Achievement Gains
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Loeb, Susanna; Christian, Michael S.; Hough, Heather; Meyer, Robert H.; Rice, Andrew B.; West, Martin R. – Journal of Educational and Behavioral Statistics, 2019
Measures of school-level growth in student outcomes are common tools for assessing the impacts of schools. The vast majority of these measures use standardized tests as the outcome of interest, even though emerging evidence demonstrates the importance of social-emotional learning (SEL). In this article, we present results from using the first…
Descriptors: Social Development, Emotional Development, Student Surveys, Institutional Characteristics
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Bianconcini, Silvia; Cagnone, Silvia – Journal of Educational and Behavioral Statistics, 2012
The evaluation of the formative process in the University system has been assuming an ever increasing importance in the European countries. Within this context, the analysis of student performance and capabilities plays a fundamental role. In this work, the authors propose a multivariate latent growth model for studying the performances of a…
Descriptors: Academic Achievement, College Students, Multivariate Analysis, Models
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Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2015
Person-fit assessment may help the researcher to obtain additional information regarding the answering behavior of persons. Although several researchers examined person fit, there is a lack of research on person-fit assessment for mixed-format tests. In this article, the lz statistic and the ?2 statistic, both of which have been used for tests…
Descriptors: Test Format, Goodness of Fit, Item Response Theory, Bayesian Statistics
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Shin, Yongyun – Journal of Educational and Behavioral Statistics, 2012
Does reduced class size cause higher academic achievement for both Black and other students in reading, mathematics, listening, and word recognition skills? Do Black students benefit more than other students from reduced class size? Does the magnitude of the minority advantages vary significantly across schools? This article addresses the causal…
Descriptors: African American Students, Class Size, Recognition (Achievement), Causal Models
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Karl, Andrew T.; Yang, Yan; Lohr, Sharon L. – Journal of Educational and Behavioral Statistics, 2013
Value-added models have been widely used to assess the contributions of individual teachers and schools to students' academic growth based on longitudinal student achievement outcomes. There is concern, however, that ignoring the presence of missing values, which are common in longitudinal studies, can bias teachers' value-added scores.…
Descriptors: Evaluation Methods, Teacher Effectiveness, Academic Achievement, Achievement Gains
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Cepeda-Cuervo, Edilberto; Núñez-Antón, Vicente – Journal of Educational and Behavioral Statistics, 2013
In this article, a proposed Bayesian extension of the generalized beta spatial regression models is applied to the analysis of the quality of education in Colombia. We briefly revise the beta distribution and describe the joint modeling approach for the mean and dispersion parameters in the spatial regression models' setting. Finally, we motivate…
Descriptors: Regression (Statistics), Foreign Countries, Educational Quality, Educational Research
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Mariano, Louis T.; McCaffrey, Daniel F.; Lockwood, J. R. – Journal of Educational and Behavioral Statistics, 2010
There is an increasing interest in using longitudinal measures of student achievement to estimate individual teacher effects. Current multivariate models assume each teacher has a single effect on student outcomes that persists undiminished to all future test administrations (complete persistence [CP]) or can diminish with time but remains…
Descriptors: Persistence, Academic Achievement, Data Analysis, Teacher Influence
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Shin, Yongyun; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2011
This article addresses three questions: Does reduced class size cause higher academic achievement in reading, mathematics, listening, and word recognition skills? If it does, how large are these effects? Does the magnitude of such effects vary significantly across schools? The authors analyze data from Tennessee's Student/Teacher Achievement Ratio…
Descriptors: Small Classes, Correlation, Reading Achievement, Mathematics Achievement
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Cudeck, Robert; Harring, Jeffrey R.; du Toit, Stephen H. C. – Journal of Educational and Behavioral Statistics, 2009
There has been considerable interest in nonlinear latent variable models specifying interaction between latent variables. Although it seems to be only slightly more complex than linear regression without the interaction, the model that includes a product of latent variables cannot be estimated by maximum likelihood assuming normality.…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Interaction, Computation
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Jo, Booil – Journal of Educational and Behavioral Statistics, 2008
An analytical approach was employed to compare sensitivity of causal effect estimates with different assumptions on treatment noncompliance and non-response behaviors. The core of this approach is to fully clarify bias mechanisms of considered models and to connect these models based on common parameters. Focusing on intention-to-treat analysis,…
Descriptors: Evaluation Methods, Intention, Research Methodology, Causal Models
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