Mixture IRT models address the heterogeneity in a population by extracting latent classes and allowing item parameters to vary between latent classes. Once the latent classes are extracted, they need to be further examined to be characterized. Some approaches have been adopted in the literature for this purpose. These approaches examine either the…

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

This European project investigates the impact of the school factors included in the dynamic model of educational effectiveness on student achievement. In each participating country (Belgium/Flanders, Cyprus, Germany, Greece, Ireland and Slovenia), a sample of at least 50 schools was drawn and tests in mathematics and science were administered to…

Augustine and Hemenover (2013) were right to state that meta-analyses should be accurate and generalizable. However, we disagree that our meta-analysis of emotion regulation strategies (Webb, Miles, & Sheeran, 2012) fell short in these respects. Augustine and Hemenover's concerns appear to have accrued from misunderstandings of our inclusion…

The domain of environmental protection is comprised from many sub-domains as recycling, conserving water, or reducing the consumption of energy. The attitude-behavior gap is partly explained by the gap between the specificity levels of the particular measured behavior and of its antecedent(s). The present study aimed at assessing the effects of…

The Early Childhood Environment Rating Scale-Revised (ECERS-R) is widely used to associate child care quality with child development, but its validity for this purpose is not well established. We examined the validity of the ECERS-R using the multidimensional Rasch partial credit model (PCM), factor analyses, and regression analyses with data from…

Individuals' perceptions of their own level of cognitive ability are expressed through self-estimates. They play an important role in a person's self-concept because they facilitate an understanding of how one's own abilities relate to those of others. People evaluate their own and other persons' abilities all the time, but self-estimates are also…

This cross-sectional descriptive study of the Model of Domain Learning, which describes learners' progress from acclimation through competence to proficiency through the interplay of knowledge, interest and strategic processing/critical thinking (CT), examined its extension to maternity nursing. Based on the identified need for valid, reliable…

School counselors influence the referral process and delivery of educational recommendations. Their perceptions of students' cognitive abilities are likely to influence their referral decisions as well as their interpretation and use of the results of psychological testing. The Cattell-Horn-Carroll, (CHC), model of intelligence, is gaining…

Peer review is valued in higher education, but also widely criticized in terms of potential biases, particularly gender. We evaluate gender differences in peer reviews of grant applications, extending Bornmann, Mutz, and Daniel's meta-analyses that reported small gender differences in favor of men (d = 0.04), but a substantial heterogeneity in…

Users of logistic regression models often need to describe the overall predictive strength, or effect size, of the model's predictors. Analogs of R[superscript 2] have been developed, but none of these measures are interpretable on the same scale as effects of individual predictors. Furthermore, R[superscript 2] analogs are not invariant to the…

A meta-analysis of 105 studies reporting 152 self-concept interventions in school settings was conducted. The aims of the study were twofold: to explore the construct validity approach to self-concept interventions, and to examine aspects of the administration of the interventions, namely treatment setting, administrator type, administrator…

The development of the DETECT procedure marked an important advancement in nonparametric dimensionality analysis. DETECT is the first nonparametric technique to estimate the number of dimensions in a data set, estimate an effect size for multidimensionality, and identify which dimension is predominantly measured by each item. The efficacy of…