The study investigates different models of personality and cognitive factors in teacher training courses at Teacher Training Colleges (TTCs) and universities. We used Ego Identity (EI), Professional Identity (PI) of teachers, and Self Regulated Learning (SRL) as personality measures, and Metacognitive Knowledge (MAI), Field Experience Grades…

The purpose of the authors' study was to understand the reasons why students comply with requests instructors make and compare these reasons with instructors' perceptions of why students comply. Students and faculty at two universities completed the Interpersonal Power Inventory to assess reasons for compliance. Students were more likely to comply…

Modern zoological gardens have invested substantial resources in technology to deliver environmental education concepts to visitors. Investment in these media reflects a currently unsubstantiated belief that visitors will both use and learn from these media alongside more traditional and less costly displays. This paper proposes a model that…

Background/Context: Previous research has pointed to the dismal state of secondary education in California and its implications for college access. These studies identified the extent to which disparities in access and outcomes in California are correlated with school demographics and the relative levels of segregation that exist in California's…

This study investigates parameters affecting the likelihood of passing school facility construction bonds by local district election. Using statewide data from Michigan, this study analyzes school bond data for urban (n = 30), suburban (n = 164), small town (n = 70), and rural (n = 241) school districts that held capital improvement bond elections…

Missing data are nearly always a problem in research, and missing values represent a serious threat to the validity of inferences drawn from findings. Increasingly, social science researchers are turning to multiple imputation to handle missing data. Multiple imputation, in which missing values are replaced by values repeatedly drawn from…

Evaluating the fit of a structural equation model via bootstrap requires a transformation of the data so that the null hypothesis holds exactly in the sample. For complete data, such a transformation was proposed by Beran and Srivastava (1985) for general covariance structure models and applied to structural equation modeling by Bollen and Stine…

Spearman's factor-analytic model has been proposed as a unidimensional linear item response theory (IRT) model for continuous item responses. This article first proposes a reexpression of the model that leads to a form similar to that of standard IRT models for binary responses and discusses the item indices of difficulty discrimination and…

The present study concurrently analyzed risk and protective factors on the individual and the class level related to bullying and victimization in ethnically diverse schools. The sample derived from the pre-test data of a national intervention evaluation study in Austria (ViSC) and comprised 1,450 students (48.8% girls) aged 11-15 (M = 12.31) from…

Mindfulness, an ancient spiritual practice, is becoming an increasingly popular component of communication courses, training individuals to reserve judgment in their dealings with others. However, the effects of mindfulness in communication courses are not well researched. We compared students taking an introductory communication course that…

The capacity of Bayesian methods in estimating complex statistical models is undeniable. Bayesian data analysis is seen as having a range of advantages, such as an intuitive probabilistic interpretation of the parameters of interest, the efficient incorporation of prior information to empirical data analysis, model averaging and model selection.…

This NCEE Technical Methods report examines how to address the problem of missing data in the analysis of data in Randomized Controlled Trials (RCTs) of educational interventions, with a particular focus on the common educational situation in which groups of students such as entire classrooms or schools are randomized. Missing outcome data are a…

The purpose of this study was to evaluate the psychometric properties of the Persian version of the Connor-Davidson Resilience Scale (CD-RISC). The CD-RISC was completed by a sample of 323 Isfahan university students (168 females, 155 males) aged 19-34 years. A maximum likelihood method with an oblique solution resulted in four factors…

In organizational studies involving multiple levels, the association between a covariate and an outcome often differs at different levels of aggregation, giving rise to widespread interest in "contextual effects models." Such models partition the regression into within- and between-cluster components. The conventional approach uses each…

Normal theory maximum likelihood (ML) is by far the most popular estimation and testing method used in structural equation modeling (SEM), and it is the default in most SEM programs. Even though this approach assumes multivariate normality of the data, its use can be justified on the grounds that it is fairly robust to the violations of the…