Applied early adolescent researchers often sample students (Level 1) from within classrooms (Level 2) that are nested within schools (Level 3), resulting in data that requires multilevel modeling analysis to avoid Type 1 errors. Although several articles have been published to assist researchers with analyzing sample data nested at two levels, few…

The study aimed at verifying if nice and nasty theory of mind behaviors, in association with teachers' peer buddy nomination, could be used to correctly select peer models for adolescents with autism spectrum disorder. Mentalizing abilities and emotional and behavioral characteristics of 601 adolescents were assessed. Results suggest that teachers…

Recent advances in positive youth development theory and research explicate complex associations between adaptive functioning and risk behavior, acknowledging that high levels of both co-occur in the lives of some adolescents. However, evidence on nuanced overlapping developmental trajectories of adaptive functioning and risk has been limited to 1…

The study of how foreign languages affect the personality-building process has received considerable attention in early childhood research. A number of related projects implemented across Europe have been conducted to establish how such influence may contribute to active citizenship education. However, no echoes of this research line have reached…

Advances in information and communication technologies (ICTs) provide new opportunities for mentoring, eliminating the need for a synchronous meeting. We report the findings of a survey that measured university student perceptions of the roles and expectations of online mentors and the likelihood of using an online mentor if given the opportunity.…

The aim of this study is to examine validity and reliability of Community of Inquiry Scale commonly used in online learning by the means of Item Response Theory. For this purpose, Community of Inquiry Scale version 14 is applied on 1,499 students of a distance education center's online learning programs at a Turkish state university via internet.…

This study compared 5 scoring methods in terms of their statistical assumptions. They were then used to score the Teacher Observation of Classroom Adaptation Checklist, a measure consisting of 3 subscales and 21 Likert-type items. The 5 methods used were (a) sum/average scores of items, (b) latent factor scores with continuous indicators, (c)…

This study reports development of a reliable and valid instrument for assessing the commitment to democratic values among secondary school students in Kerala from 57 likert type statements originally developed in 2007 by Gafoor and Thushara to assess commitment to nine values avowed in the Indian Constitution. Nine separate maximum likelihood…

This study compared 5 scoring methods in terms of their statistical assumptions. They were then used to score the Teacher Observation of Classroom Adaptation Checklist, a measure consisting of 3 subscales and 21 Likert-type items. The 5 methods used were (a) sum/average scores of items,(b) latent factor scores with continuous indicators, (c)…

The current study developed an 18-item scale measuring individuals' social expectations in relationships related to their efficacy expectations (Subscale 1) and outcome expectations (Subscale 2) based on Bandura's self-efficacy theory. Results from exploratory and confirmatory factor analyses, using an undergraduate sample ("N" = 486),…

In item response theory (IRT) modeling, the item parameter error covariance matrix plays a critical role in statistical inference procedures. When item parameters are estimated using the EM algorithm, the parameter error covariance matrix is not an automatic by-product of item calibration. Cai proposed the use of Supplemented EM algorithm for…

Regression discontinuity design is an alternative to randomized experiments to make causal inference when random assignment is not possible. This article first presents the formal identification and estimation of regression discontinuity treatment effects in the framework of Rubin's causal model, followed by a thorough literature review of…

The root mean square error of approximation (RMSEA) is a popular fit index in structural equation modeling (SEM). Typically, RMSEA is computed using the normal theory maximum likelihood (ML) fit function. Under nonnormality, the uncorrected sample estimate of the ML RMSEA tends to be inflated. Two robust corrections to the sample ML RMSEA have…

The paper proposes a composite likelihood estimation approach that uses bivariate instead of multivariate marginal probabilities for ordinal longitudinal responses using a latent variable model. The model considers time-dependent latent variables and item-specific random effects to be accountable for the interdependencies of the multivariate…

A multinormal partial credit model for factor analysis of polytomously scored items with ordered response categories is derived using an extension of the Dutch Identity (Holland in "Psychometrika" 55:5-18, 1990). In the model, latent variables are assumed to have a multivariate normal distribution conditional on unweighted sums of item…