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Leonidas Sakalauskas; Vytautas Dulskis; Darius Plikynas – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation models (DSEM) are designed for time series analysis of latent structures. Inherent to the application of DSEM is model parameter estimation, which has to be addressed in many applications by a single time series. In this context, however, the methods currently available either lack estimation quality or are…
Descriptors: Structural Equation Models, Time Management, Predictive Measurement, Data Collection
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Cunningham, James W.; Hiebert, Elfrieda H.; Mesmer, Heidi Anne – Reading and Writing: An Interdisciplinary Journal, 2018
In recent years, readability formulas have gained new prominence as a basis for selecting texts for learning and assessment. Variables that quantitative tools count (e.g., word frequency, sentence length) provide valid measures of text complexity insofar as they accurately predict representative and high-quality criteria. The longstanding…
Descriptors: Readability, Readability Formulas, Evaluation Methods, Correlation
Balu, Rekha; Porter, Kristin – MDRC, 2017
Many low-income young people are not reaching important milestones for success (for example, completing a program or graduating from school on time). But the social-service organizations and schools that serve them often struggle to identify who is at more or less risk. These institutions often either over- or underestimate risk, missing…
Descriptors: Low Income Groups, At Risk Students, Youth Programs, School Role
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Matthews, Michael S.; Farmer, Jennie – Australasian Journal of Gifted Education, 2017
Dynamic assessment methods, initially developed by Feuerstein in the 1970s, have been recommended as being more equitable for identifying the academic abilities of students who may not perform well on traditional assessments due to these learners' cultural, linguistic, or economic differences from the population for whom the traditional measures…
Descriptors: Academic Achievement, Achievement Gains, Predictive Measurement, Hispanic American Students