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Zhan, Peida; Jiao, Hong; Liao, Dandan; Li, Feiming – Journal of Educational and Behavioral Statistics, 2019
Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth. The new modeling approach is able to provide quantitative values of overall and individual growth…
Descriptors: Classification, Growth Models, Educational Diagnosis, Models
Meyer, J. Patrick; Dahlin, Michael – NWEA, 2022
The MAP® Growth™ theory of action describes key features of MAP Growth and its position in a comprehensive assessment system. The basic premise of the theory of action is that all students learn when MAP Growth is situated in a comprehensive assessment system and used for its intended purposes to yield information about student learning and enable…
Descriptors: Achievement Tests, Academic Achievement, Achievement Gains, Student Evaluation
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
Colorado Department of Education, 2019
The Colorado Growth Model (CGM) was developed jointly by the Colorado Department of Education (CDE), the Technical Advisory Panel for Longitudinal Growth (TAP), and the National Center for the Improvement of Educational Assessment (NCIEA). Its development was required by state statute (SB09-163) and assigned to the Technical Advisory Panel. The…
Descriptors: Growth Models, Elementary Secondary Education, Accountability, Academic Achievement
DeCarlo, Lawrence T. – Journal of Educational Measurement, 2021
In a signal detection theory (SDT) approach to multiple choice exams, examinees are viewed as choosing, for each item, the alternative that is perceived as being the most plausible, with perceived plausibility depending in part on whether or not an item is known. The SDT model is a process model and provides measures of item difficulty, item…
Descriptors: Perception, Bias, Theories, Test Items
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
Hickey, Daniel; Harris, Tripp – Distance Education, 2021
Increased online learning is helping many appreciate that online grading, formative assessment, and summative testing can cause instructor burnout and leave little time for more productive instructor interactions. We reimagined grading, assessment, and testing in an extended program of design-based research using situative theory to refine online…
Descriptors: Computer Assisted Testing, Grading, Student Evaluation, Online Courses
Ozkale, Abdullah; Erdogan, Emel Ozdemir – International Journal of Progressive Education, 2020
The concept of financial literacy, which has become popular as a 21st-century skill, is also a new field for mathematics education. Financial literacy, which has taken place in PISA [Program for International Student Assessment] since 2012, has not only been presented as a separate course and has also increased in density in related courses such…
Descriptors: Money Management, Mathematics Education, Models, Achievement Tests
Fujimoto, Ken A. – Journal of Educational Measurement, 2020
Multilevel bifactor item response theory (IRT) models are commonly used to account for features of the data that are related to the sampling and measurement processes used to gather those data. These models conventionally make assumptions about the portions of the data structure that represent these features. Unfortunately, when data violate these…
Descriptors: Bayesian Statistics, Item Response Theory, Achievement Tests, Secondary School Students
Corwith, Susan – Parenting for High Potential, 2019
Providing an optimal match in the pace of instruction and level of content increases student engagement and is essential for all students. And while the idea of optimal match makes sense educationally, it can be challenging to determine what pace and level of instruction is optimal for gifted students. Fortunately, there is an effective,…
Descriptors: Talent, Talent Development, Acceleration (Education), Gifted
Blazer, Christie – Research Services, Miami-Dade County Public Schools, 2017
The majority of states include value-added models (VAMs) or some other measure of student academic growth as a component of their teacher evaluation systems. However, there is considerable disagreement among researchers about whether states and school districts should use student growth measures to make high-stakes personnel decisions. Many…
Descriptors: Teacher Evaluation, Evaluation Methods, Value Added Models, Academic Achievement
Krauss, S.; Bruckmaier, G.; Lindl, A.; Hilbert, S.; Binder, K.; Steib, N.; Blum, W. – ZDM: The International Journal on Mathematics Education, 2020
Two different tools for assessing pedagogical content knowledge (PCK) of mathematics teachers used in the framework of the COACTIV study are systematically compared in this paper, namely the paper-and-pencil test consisting of items on the three facets "knowledge of explaining and representation," "knowledge of student thinking and…
Descriptors: Pedagogical Content Knowledge, Mathematics Teachers, Measures (Individuals), Teacher Competency Testing
Fazlul, Ishtiaque; Koedel, Cory; Parsons, Eric – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2022
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: Academic Achievement, At Risk Students, Prediction, Disadvantaged
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
Fuentes, Sarah Quebec; Crawford, Lindy; Huscroft-D'Angelo, Jacqueline – Australian Primary Mathematics Classroom, 2017
All students should have opportunities to develop their ability to reason mathematically. Gersten and Chard (1999) support this stance with respect to students with learning disabilities: "Even if students are not automatic with basic facts, they still should be engaged in activities that promote the development of number sense and…
Descriptors: Teaching Models, Mathematics Instruction, Mathematical Logic, Comparative Analysis