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Shi, Dingjing; Tong, Xin – Sociological Methods & Research, 2022
This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Computer Software, Causal Models
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Daniel Kasper; Katrin Schulz-Heidorf; Knut Schwippert – Sociological Methods & Research, 2024
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…
Descriptors: Models, Achievement Tests, Foreign Countries, International Assessment
DeBaylo, Paige; Hutchins, Shaun D. – Online Submission, 2020
This document describes PPfT school-wide value-added measure by showing how to gain access to your SAS Education Value-Added Assessment System (EVAAS) account, stepping through the school growth measures, and discussing how growth is scored in PPfT appraisal.
Descriptors: School Districts, Value Added Models, Teacher Effectiveness, Teacher Evaluation
Schmitt, Lisa; Hutchins, Shaun – Online Submission, 2016
This report provides an overview of the process used to derive a school's growth level and summarizes 2015 math and reading/ELA growth levels for all AISD elementary, middle and high schools. Additionally, longitudinal data are provided for each school level.
Descriptors: School Districts, Academic Achievement, Elementary School Students, Middle School Students
Hedger, Joseph – National Association of State Boards of Education, 2018
When the 2017 National Assessment of Educational Progress was released earlier this year, most states learned that their average scores in grades 4 and 8 reading and mathematics remained relatively flat since 2015. More troubling though, students performing at the lowest 10th and 25th percentiles saw a decline in their scores. To confront this…
Descriptors: Academic Achievement, Growth Models, Low Achievement, Accountability
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Peurach, Donald J.; Glazer, Joshua L. – Journal of Education for Students Placed at Risk, 2016
This introduction to the special issue on Reading Recovery situates the enterprise in a broader educational reform context that has placed a priority on developing and fielding large-scale, systemic interventions that support ambitious instructional practice and student outcomes. Within this context, Reading Recovery is examined as an evolving,…
Descriptors: Reading Programs, Educational Change, Intervention, Educational Improvement
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
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Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Latent difference score (LDS) models combine benefits derived from autoregressive and latent growth curve models allowing for time-dependent influences and systematic change. The specification and descriptions of LDS models include an initial level of ability or trait plus an accumulation of changes. A limitation of this specification is that the…
Descriptors: Structural Equation Models, Time, Change, Coding
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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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Frank, Kenneth A.; Maroulis, Spiro J.; Duong, Minh Q.; Kelcey, Benjamin M. – Educational Evaluation and Policy Analysis, 2013
We contribute to debate about causal inferences in educational research in two ways. First, we quantify how much bias there must be in an estimate to invalidate an inference. Second, we utilize Rubin's causal model to interpret the bias necessary to invalidate an inference in terms of sample replacement. We apply our analysis to an inference…
Descriptors: Causal Models, Inferences, Research Methodology, Robustness (Statistics)
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Miller, Daniel C. – School Psychology Forum, 2015
The Woodcock-Johnson-Fourth edition (WJ IV; Schrank, McGrew, & Mather, 2014a) and the Wechsler Intelligence Scale for Children-Fifth edition (WISC-V; Wechsler, 2014) are two of the major tests of cognitive abilities used in school psychology. The complete WJ IV battery includes the Woodcock-Johnson IV Tests of Cognitive Abilities (Schrank,…
Descriptors: Cognitive Ability, Cognitive Tests, Children, Intelligence Tests
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James, Wendy; Derksen, Dave; Alcorn, Kerry – Journal of Staff Development, 2014
Saskatoon Public Schools made the decision 10 years ago to undertake major changes in how it supports professional learning. The district began with two major priorities: increasing literacy in elementary schools and transforming high schools to increase student engagement. The district appointed a facilitator for each priority in central office,…
Descriptors: Foreign Countries, Public Schools, Faculty Development, Elementary Schools
Betebenner, Damian W. – National Center for the Improvement of Educational Assessment, 2011
In this report, student growth percentiles and percentile growth projections/trajectories are introduced as a means of understanding student growth in both normative and a criterion referenced ways. With these values calculated, the author shows how growth data can be utilized in both a norm- and in a criterion-referenced manner to inform…
Descriptors: Academic Achievement, Growth Models, Data Analysis, Information Utilization
Youngs, Peter – Center for American Progress, 2013
The Common Core State Standards Initiative, in its aim to align diverse state curricula and improve educational outcomes, calls for K-12 teachers in the United States to engage all students in mathematical problem solving along with reading and writing complex text through the use of rigorous academic content. Until recently, most teacher…
Descriptors: State Standards, Outcomes of Education, Teaching Methods, Teacher Characteristics
Regional Resource Center Program, 2012
This brief is intended to provide State Education Agency (SEA) and Local Education Agency (LEA) educators with a brief overview of key components of Michigan's Integrated Behavior and Learning Support Initiative (MiBLSi), a project designed to help schools develop schoolwide support systems in reading and behavior. The MiBLSi is helping districts…
Descriptors: Reading Achievement, Scoring, Student Behavior, Curriculum Based Assessment
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