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Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – Grantee Submission, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
Jensen, Emily; Hutt, Stephen; D'Mello, Sidney K. – International Educational Data Mining Society, 2019
Recent work in predictive modeling has called for increased scrutiny of how models generalize between different populations within the training data. Using interaction data from 69,174 students who used an online mathematics platform over an entire school year, we trained a sensor-free affect detection model and studied its generalizability to…
Descriptors: Generalization, Longitudinal Studies, Psychological Patterns, Identification
O'Mally, Jamie; Antonelli, Karla – Journal of Visual Impairment & Blindness, 2016
Introduction: College graduates with visual impairments (that is, those who are blind or have low vision) often face challenges in securing competitive employment after graduation. Working with a mentor who is also visually impaired, and working in the same field, can provide important benefits to overcome these barriers. Methods: A nationwide…
Descriptors: College Students, Career Counseling, Mentors, Employment Potential
Lucas, Richard E.; Donnellan, M. Brent – Social Indicators Research, 2012
Life satisfaction is often assessed using single-item measures. However, estimating the reliability of these measures can be difficult because internal consistency coefficients cannot be calculated. Existing approaches use longitudinal data to isolate occasion-specific variance from variance that is either completely stable or variance that…
Descriptors: Life Satisfaction, Measurement, Error of Measurement, Reliability
Hertzog, Christopher; Lindenberger, Ulman; Ghisletta, Paolo; Oertzen, Timo von – Psychological Methods, 2006
We evaluated the statistical power of single-indicator latent growth curve models (LGCMs) to detect correlated change between two variables (covariance of slopes) as a function of sample size, number of longitudinal measurement occasions, and reliability (measurement error variance). Power approximations following the method of Satorra and Saris…
Descriptors: Multivariate Analysis, Models, Sample Size, Reliability
Shieh, Gwowen – Multivariate Behavioral Research, 2003
Repeated measures and longitudinal studies arise often in social and behavioral science research. During the planning stage of such studies, the calculations of sample size are of particular interest to the investigators and should be an integral part of the research projects. In this article, we consider the power and sample size calculations for…
Descriptors: Comparative Analysis, Behavioral Science Research, Monte Carlo Methods, Longitudinal Studies
Kaufman, Phillip; Bradbury, Denise – National Center for Education Statistics, 1992
The National Education Longitudinal Study of 1988 (NELS:88) is a large-scale, national longitudinal study designed and sponsored by the National Center for Education Statistics (NCES), with support from other government agencies. Beginning in the spring of 1988 with a cohort of eighth graders (25,000) attending public and private schools across…
Descriptors: At Risk Students, Longitudinal Studies, Statistical Analysis, Demography