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Raudenbush, Stephen – Carnegie Foundation for the Advancement of Teaching, 2013
This brief considers the problem of using value-added scores to compare teachers who work in different schools. The author focuses on whether such comparisons can be regarded as fair, or, in statistical language, "unbiased." An unbiased measure does not systematically favor teachers because of the backgrounds of the students they are…
Descriptors: Educational Research, Achievement Gains, Teacher Effectiveness, Comparative Analysis
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Schlotz, Wolff; Yim, Ilona S.; Zoccola, Peggy M.; Jansen, Lars; Schulz, Peter – Psychological Assessment, 2011
There is accumulating evidence that individual differences in stress reactivity contribute to the risk for stress-related disease. However, the assessment of stress reactivity remains challenging, and there is a relative lack of questionnaires reliably assessing this construct. We here present the Perceived Stress Reactivity Scale (PSRS), a…
Descriptors: Stress Variables, Self Efficacy, Factor Structure, Infants
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Mahon, Anthony D.; Marjerrison, Andrea D.; Lee, Jonah D.; Woodruff, Megan E.; Hanna, Lauren E. – Research Quarterly for Exercise and Sport, 2010
In this study, we compared measured maximal heart rate (HRmax) to two different HRmax prediction equations [220-age and 208-0.7(age)] in 52 children ages 7-17 years. We determined the relationship of chronological age, maturational age, and resting HR to measured HRmax and assessed seated resting HR and HRmax during a graded exercise test.…
Descriptors: Metabolism, Maturity (Individuals), Age, Prediction
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Hertzog, Christopher; von Oertzen, Timo; Ghisletta, Paolo; Lindenberger, Ulman – Structural Equation Modeling: A Multidisciplinary Journal, 2008
We evaluated the statistical power of single-indicator latent growth curve models to detect individual differences in change (variances of latent slopes) as a function of sample size, number of longitudinal measurement occasions, and growth curve reliability. We recommend the 2 degree-of-freedom generalized test assessing loss of fit when both…
Descriptors: Sample Size, Error of Measurement, Individual Differences, Statistical Analysis
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Bartels, Meike; Boomsma, Dorret I.; Hudziak, James J.; van Beijsterveldt, Toos C. E. M.; van den Oord, Edwin J. C. G. – Psychological Methods, 2007
Genetically informative data can be used to address fundamental questions concerning the measurement of behavior in children. The authors illustrate this with longitudinal multiple-rater data on internalizing problems in twins. Valid information on the behavior of a child is obtained for behavior that multiple raters agree upon and for…
Descriptors: Twins, Behavior Problems, Genetics, Error of Measurement
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Zimmerman, Donald W.; And Others – Applied Psychological Measurement, 1993
Some of the methods originally used to find relationships between reliability and power associated with a single measurement are extended to difference scores. Results, based on explicit power calculations, show that augmenting the reliability of measurement by reducing error score variance can make significance tests of difference more powerful.…
Descriptors: Equations (Mathematics), Error of Measurement, Individual Differences, Mathematical Models
Lohman, David F.; Korb, Katrina A. – Journal for the Education of the Gifted, 2006
The term "gifted" implies a permanent superiority. However, the majority of children who score in the top few percentiles on ability and achievement tests in 1 grade do not retain their status for more than a year or 2. The tendency of those with high scores on one occasion to obtain somewhat lower scores on a later occasion is one…
Descriptors: Academically Gifted, Longitudinal Studies, Regression (Statistics), Error of Measurement
Wood, Phillip – 1994
The Reflective Judgment Model and associated interview (RJI) (Kitchener and King, 1981) measure the ability of individuals to reason about ill-structured problems. It has gained popularity as a measure of college outcomes associated with postsecondary education. This study examines general claims for the model made from existing data from 15 of 25…
Descriptors: Error of Measurement, Higher Education, Individual Differences, Interviews
Millsap, Roger E. – 1986
A component analytic method for analyzing multivariate longitudinal data is presented that does not make strong assumptions about the structure of the data. Central to the method are the facts that components are derived as linear composites of the observed or manifest variables and that the components must provide an adequate representation of…
Descriptors: Comparative Analysis, Computer Software, Cross Sectional Studies, Error of Measurement
Muthen, Bengt O.; Nelson, Ginger – 1992
It has been demonstrated that the individual variation in the level and rate of learning for a cohort of students over time can be estimated by hierarchical linear models. Models of this type can also be estimated using widely available structural modeling software, which provides a flexible framework for model explorations, including the use of…
Descriptors: Cohort Analysis, Computer Software, Elementary Secondary Education, Error of Measurement