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Gregory Chernov – Evaluation Review, 2025
Most existing solutions to the current replication crisis in science address only the factors stemming from specific poor research practices. We introduce a novel mechanism that leverages the experts' predictive abilities to analyze the root causes of replication failures. It is backed by the principle that the most accurate predictor is the most…
Descriptors: Replication (Evaluation), Prediction, Scientific Research, Failure
Regional Educational Laboratory Mid-Atlantic, 2013
This event focused on the What Works Clearinghouse practice guide, "Using Student Achievement Data to Support Instructional Decision Making" (ED506645). During the event, the presenter, Sharnell Jackson, led school data teams in activities involving analysis of their own student data. This Q&A addressed the questions participants had…
Descriptors: Academic Achievement, Decision Making, Data Analysis, Feedback (Response)
Ballou, Dale; Springer, Matthew G.; McCaffrey, Daniel F.; Lockwood, J. R.; Stecher, Brian M.; Hamilton, Laura; Pepper, Matthew – Grantee Submission, 2012
The Project on Incentives in Teaching (POINT) was a three-year study testing the hypothesis that rewarding teachers for improved student scores on standardized tests would cause scores to rise. Results, as described in Springer et al. (2010b), did not confirm this hypothesis. In this article we provide additional information on the POINT study…
Descriptors: Teaching (Occupation), Standardized Tests, Scores, Rewards
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Ballou, Dale; Springer, Matthew G.; McCaffrey, Daniel F.; Lockwood, J. R.; Stecher, Brian M.; Hamilton, Laura; Pepper, Matthew – Education Finance and Policy, 2012
The Project on Incentives in Teaching (POINT) was a three-year study testing the hypothesis that rewarding teachers for improved student scores on standardized tests would cause scores to rise. Results, as described in Springer et al. (2010b), did not confirm this hypothesis. In this article we provide additional information on the POINT study…
Descriptors: Teaching (Occupation), Standardized Tests, Scores, Rewards
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Raykov, Tenko; Penev, Spiridon – Structural Equation Modeling: A Multidisciplinary Journal, 2010
A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The…
Descriptors: Reliability, Evaluation, Models, Intervals
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DiStefano, Christine; Zhu, Min; Mindrila, Diana – Practical Assessment, Research & Evaluation, 2009
Following an exploratory factor analysis, factor scores may be computed and used in subsequent analyses. Factor scores are composite variables which provide information about an individual's placement on the factor(s). This article discusses popular methods to create factor scores under two different classes: refined and non-refined. Strengths and…
Descriptors: Factor Structure, Factor Analysis, Researchers, Scores
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Mingroni, Michael A. – Psychological Review, 2007
IQ test scores have risen steadily across the industrialized world ever since such tests were first widely administered, a phenomenon known as the Flynn effect. Although the effect was documented more than 2 decades ago, there is currently no generally agreed-on explanation for it. The author argues that the phenomenon heterosis represents the…
Descriptors: Intelligence Quotient, Scores, Genetics, Trend Analysis
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Kaplan, David – Multivariate Behavioral Research, 1999
Proposes an extension of the propensity score adjustment method to the analysis of group differences on latent variable models. Uses multiple indicators-multiple causes (MIMIC) structural equation modeling to test hypotheses about treatment group differences. Discusses the role of factorial invariance as it relates to this approach. (SLD)
Descriptors: Groups, Hypothesis Testing, Scores, Structural Equation Models