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Halpin, Peter F.; Maraun, Michael D. – Multivariate Behavioral Research, 2010
A method for selecting between K-dimensional linear factor models and (K + 1)-class latent profile models is proposed. In particular, it is shown that the conditional covariances of observed variables are constant under factor models but nonlinear functions of the conditioning variable under latent profile models. The performance of a convenient…
Descriptors: Models, Selection, Vocational Evaluation, Developmental Psychology
Jackle, Robert; Himmler, Oliver – Journal of Human Resources, 2010
This paper complements previous studies on the effects of health on wages by addressing the problems of unobserved heterogeneity, sample selection, and endogeneity in one comprehensive framework. Using data from the German Socio-Economic Panel (GSOEP), we find the health variable to suffer from measurement error and a number of tests provide…
Descriptors: Wages, Measurement, Error of Measurement, Computation
Biesanz, Jeremy C.; Falk, Carl F.; Savalei, Victoria – Multivariate Behavioral Research, 2010
Theoretical models specifying indirect or mediated effects are common in the social sciences. An indirect effect exists when an independent variable's influence on the dependent variable is mediated through an intervening variable. Classic approaches to assessing such mediational hypotheses (Baron & Kenny, 1986; Sobel, 1982) have in recent years…
Descriptors: Computation, Intervals, Models, Monte Carlo Methods
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
Marin-Martinez, Fulgencio; Sanchez-Meca, Julio – Educational and Psychological Measurement, 2010
Most of the statistical procedures in meta-analysis are based on the estimation of average effect sizes from a set of primary studies. The optimal weight for averaging a set of independent effect sizes is the inverse variance of each effect size, but in practice these weights have to be estimated, being affected by sampling error. When assuming a…
Descriptors: Meta Analysis, Sample Size, Effect Size, Monte Carlo Methods
McCoach, D. Betsy; Adelson, Jill L. – Gifted Child Quarterly, 2010
This article provides a conceptual introduction to the issues surrounding the analysis of clustered (nested) data. We define the intraclass correlation coefficient (ICC) and the design effect, and we explain their effect on the standard error. When the ICC is greater than 0, then the design effect is greater than 1. In such a scenario, the…
Descriptors: Statistical Significance, Error of Measurement, Correlation, Data Analysis
Papadopoulos, Timothy C.; Kendeou, Panayiota; Spanoudis, George – Journal of Educational Psychology, 2012
Theory-driven conceptualizations of phonological abilities in a sufficiently transparent language (Greek) were examined in children ages 5 years 8 months to 7 years 7 months, by comparing a set of a priori models. Specifically, the fit of 9 different models was evaluated, as defined by the Number of Factors (1 to 3; represented by rhymes,…
Descriptors: Evidence, Reading Fluency, Phonemes, Factor Structure
Longford, Nicholas T. – Journal of Educational and Behavioral Statistics, 2012
Statistical modeling of school effectiveness data was originally motivated by the dissatisfaction with the analysis of (school-leaving) examination results that took no account of the background of the students or regarded each school as an isolated unit of analysis. The application of multilevel analysis was generally regarded as a breakthrough,…
Descriptors: School Effectiveness, Data Analysis, Statistical Analysis, Statistical Studies
Ayene, Mengesha; Kriek, Jeanne; Damtie, Baylie – Physical Review Special Topics - Physics Education Research, 2011
Quantum mechanics is often thought to be a difficult subject to understand, not only in the complexity of its mathematics but also in its conceptual foundation. In this paper we emphasize students' depictions of the uncertainty principle and wave-particle duality of quantum events, phenomena that could serve as a foundation in building an…
Descriptors: Quantum Mechanics, Physics, Measurement, Error of Measurement
Schembre, Susan M.; Riebe, Deborah A. – Measurement in Physical Education and Exercise Science, 2011
Non-exercise equations developed from self-reported physical activity can estimate maximal oxygen uptake (VO[subscript 2]max) as well as sub-maximal exercise testing. The International Physical Activity Questionnaire is the most widely used and validated self-report measure of physical activity. This study aimed to develop and test a VO[subscript…
Descriptors: Physical Activities, Testing, Physical Fitness, Questionnaires
Kim, Doyoung; De Ayala, R. J.; Ferdous, Abdullah A.; Nering, Michael L. – Applied Psychological Measurement, 2011
To realize the benefits of item response theory (IRT), one must have model-data fit. One facet of a model-data fit investigation involves assessing the tenability of the conditional item independence (CII) assumption. In this Monte Carlo study, the comparative performance of 10 indices for identifying conditional item dependence is assessed. The…
Descriptors: Item Response Theory, Monte Carlo Methods, Error of Measurement, Statistical Analysis
Simone, Anna; Rota, Viviana; Tesio, Luigi; Perucca, Laura – International Journal of Rehabilitation Research, 2011
ABILHAND is, in its original version, a 46-item, 4-level questionnaire. It measures the difficulty perceived by patients with rheumatoid arthritis as they do various daily manual tasks. ABILHAND was originally built through Rasch analysis. In a later study, it was simplified to a generic 23-item, three-level questionnaire, showing both…
Descriptors: Questionnaires, Patients, Foreign Countries, Raw Scores
Sant'Anna, Annibal Parracho; de Araujo Ribeiro, Rodrigo Otavio; Dutt-Ross, Steven – Social Indicators Research, 2011
A new form of composition of the indicators employed to generate the United Nations Human Development Index (HDI) is presented here. This form of composition is based on the assumption that random errors affect the measurement of each indicator. This assumption allows for replacing the vector of evaluations according to each indicator by vectors…
Descriptors: Probability, Municipalities, Social Indicators, International Organizations
Heyrman, Lieve; Molenaers, Guy; Desloovere, Kaat; Verheyden, Geert; De Cat, Jos; Monbaliu, Elegast; Feys, Hilde – Research in Developmental Disabilities: A Multidisciplinary Journal, 2011
In this study the psychometric properties of the Trunk Control Measurement Scale (TCMS) in children with cerebral palsy (CP) were examined. Twenty-six children with spastic CP (mean age 11 years 3 months, range 8-15 years; Gross Motor Function Classification System level I n = 11, level II n = 5, level III n = 10) were included in this study. To…
Descriptors: Construct Validity, Cerebral Palsy, Test Validity, Interrater Reliability
Leue, Anja; Lange, Sebastian – Assessment, 2011
The assessment of positive affect (PA) and negative affect (NA) by means of the Positive Affect and Negative Affect Schedule has received a remarkable popularity in the social sciences. Using a meta-analytic tool--namely, reliability generalization (RG)--population reliability scores of both scales have been investigated on the basis of a random…
Descriptors: Social Sciences, True Scores, Generalization, Affective Behavior

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