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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
Northey, Mary; McCutchen, Deborah; Sanders, Elizabeth A. – Reading and Writing: An Interdisciplinary Journal, 2016
Morphological skills have previously been found to reliably predict reading skill, including word reading, vocabulary, and comprehension. However, less is known about how morphological skills might contribute to writing skill, aside from its well-documented role in the development of spelling. This correlational study examines whether…
Descriptors: Essays, Childrens Writing, Morphology (Languages), Writing Skills
Knight, George P.; Carlo, Gustavo; Mahrer, Nicole E.; Davis, Alexandra N. – Child Development, 2016
The socialization of cultural values, ethnic identity, and prosocial behaviors is examined in a sample of 749 Mexican-American adolescents, ages 9-12; M (SD) = 10.42 years (0.55); 49% female, their mothers, and fathers at the 5th, 7th, and 10th grades. Parents' familism values positively predicted their ethnic socialization practices. Mothers'…
Descriptors: Mexican Americans, Adolescents, Social Values, Ethnicity
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Johnson, Ursula Y.; Hull, Darrell M. – Journal of Educational Research, 2014
The authors examined science achievement growth at Grades 3, 5, and 8 and parent school involvement at the same time points using the Early Childhood Longitudinal Study-Kindergarten Class of 1998-1999. Data were analyzed using cross-classified multilevel latent growth curve modeling with time invariant and varying covariates. School-based…
Descriptors: Science Achievement, Parent Participation, Grade 3, Grade 5
Kozina, Ana – Educational Studies, 2015
In this study, we analyse the predictive power of home and school environment-related factors for determining pupils' aggression. The multiple regression analyses are performed for fourth- and eighth-grade pupils based on the Trends in Mathematics and Science Study (TIMSS) 2007 (N = 8394) and TIMSS 2011 (N = 9415) databases for Slovenia. At the…
Descriptors: Aggression, Elementary Schools, Predictive Validity, Educational Environment
Vickers, Heather; Pate, James L.; Brockmeier, Lantry L.; Green, Robert B.; Tsemunhu, Rudo – International Journal of Educational Leadership Preparation, 2014
This nonexperimental survey research investigated whether enrollment, location, expenditures, percentage of free and reduced lunch and percentage of minority students influenced Georgia's superintendent and board chairperson satisfaction. In addition, this study investigated whether respondents' satisfaction could predict student achievement.…
Descriptors: Governance, Boards of Education, Board of Education Policy, Superintendents