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Reichardt, Charles S. – Multivariate Behavioral Research, 2011
Maxwell, Cole, and Mitchell (2011) demonstrated that simple structural equation models, when used with cross-sectional data, generally produce biased estimates of meditated effects. I extend those results by showing how simple structural equation models can produce biased estimates of meditated effects when used even with longitudinal data. Even…
Descriptors: Structural Equation Models, Statistical Data, Longitudinal Studies, Error of Measurement
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Williams, Richard H.; Zimmerman, Donald W. – Journal of Experimental Education, 1984
This paper provides a list of 10 salient features of the standard error of measurement, contrasting it to the reliability coefficient. It is concluded that the standard error of measurement should be regarded as a primary characteristic of a mental test. (Author/DWH)
Descriptors: Educational Testing, Error of Measurement, Evaluation Methods, Psychological Testing
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Bagozzi, Richard P.; Phillips, Lynn W. – Administrative Science Quarterly, 1982
Tests the "holistic construal" method of validating constructs and testing organizational hypotheses, using examples from organizational theory and data on wholesale distribution companies. Holistic construal is meant to explicitly represent theoretical and empirical concepts, nonobservational hypotheses, and correspondence rules and…
Descriptors: Charts, Error of Measurement, Holistic Approach, Hypothesis Testing
Tsujimoto, Richard N.; Berger, Dale E. – Child Abuse and Neglect: The International Journal, 1988
Two criteria are discussed for determining cutting scores on a predictor variable for identifying cases of likely child abuse--utility maximizing and error minimizing. Utility maximizing is the preferable criterion, as it optimizes the balance between the costs of incorrect decisions and the benefits of correct decisions. (Author/JDD)
Descriptors: Child Abuse, Cost Effectiveness, Cutting Scores, Error of Measurement
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Pascual-Leone, Juan; Baillargeon, Raymond – International Journal of Behavioral Development, 1994
Examines subjects' processing in misleading test items. Suggests that the M-power for children, when assessed behaviorally, may increase with age in a discrete manner, and have the potential to generate interval scales of measurement. In addition, suggests that, in light of the results, what statisticians often consider "error of…
Descriptors: Age Differences, Attention, Children, Cognitive Development