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Anderson, Cynthia M.; Turtura, Jessica; Parry, Michael – Journal of Applied School Psychology, 2013
In a 3-tiered, prevention-oriented framework, Tier II (secondary, targeted) interventions are designed for students whose problem behaviors have not responded to Tier I but are not severe enough to warrant an individualized Tier III intervention. Tier II interventions are implemented similarly across students receiving the intervention and can be…
Descriptors: Evidence, Intervention, School Psychology, Prevention
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Lee, Chun-Ting; Zhang, Guangjian; Edwards, Michael C. – Multivariate Behavioral Research, 2012
Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…
Descriptors: Personality Traits, Intervals, Monte Carlo Methods, Factor Analysis
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Cheung, Mike W. -L. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Confidence intervals (CIs) for parameters are usually constructed based on the estimated standard errors. These are known as Wald CIs. This article argues that likelihood-based CIs (CIs based on likelihood ratio statistics) are often preferred to Wald CIs. It shows how the likelihood-based CIs and the Wald CIs for many statistics and psychometric…
Descriptors: Intervals, Structural Equation Models, Simulation, Correlation
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Jozefowiez, J.; Staddon, J. E. R.; Cerutti, D. T. – Psychological Review, 2009
The authors propose a simple behavioral economic model (BEM) describing how reinforcement and interval timing interact. The model assumes a Weber-law-compliant logarithmic representation of time. Associated with each represented time value are the payoffs that have been obtained for each possible response. At a given real time, the response with…
Descriptors: Intervals, Metacognition, Reinforcement, Time