In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…

This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…

Identities extend standard models that explain student motivations to complete courses at technical college. A differential hypothesis was that profiles of identities (individuality, belonging and place) explain the self-concepts and task values that contribute to participation, considering demographic factors (age, gender, location, paid work).…

Utilizing planned missing data (PMD) designs (ex. 3-form surveys) enables researchers to ask participants fewer questions during the data collection process. An important question, however, is just how few participants are needed to effectively employ planned missing data designs in research studies. This article explores this question by using…

Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and…

The adage, "old habits die hard", is especially relevant when humans learn new protective behaviors (i.e., dental flossing, IS security behaviors). The foundation that underlies many social-cognitive theories used in IS research is that intention to change predicts actual behavior change. Despite intentions to change, humans do not…

Dynamic factor models (DFMs) have typically been applied to multivariate time series data collected from a single unit of study, such as a single individual or dyad. The goal of DFMs application is to capture dynamics of multivariate systems. When multiple units are available, however, DFMs are not suited to capture variations in dynamics across…

The research is aimed to study the development of eleventh grade students' reading, creative writing abilities, satisfaction taught through the concentrated language encounter instruction method, CLE model III. One experimental group time series design was used, and the data was analyzed by MANOVA with repeated measures, t-test for one-group…

We present a new paradigm that allows simplified testing of multiparameter hypotheses in the presence of incomplete data. The proposed technique is a straight-forward procedure that combines the benefits of two powerful data analytic tools: multiple imputation and nested-model ?2 difference testing. A Monte Carlo simulation study was conducted to…

Background: Villages represent an emerging consumer-driven social support model that aims to enhance the social engagement, independence, and well-being of community-dwelling seniors through a combination of social activities, volunteer opportunities, service referral, and direct assistance. This study aimed to assess the perceived impact of…

This paper examines the relationship of the policies and practices employed by 3 high school reform models--Early College High Schools, Redesigned High Schools, and High Schools That Work--with student success in college preparatory mathematics courses by the end of the 10th grade. Data on policies and practices collected through a survey of…

Most mathematics students show a definite tendency toward an attitudinal deficiency, which can be primarily understood as intolerance to the matter, affecting their scholar performance adversely. In addition, information and communication technologies have been gradually included within the process of teaching mathematics. Such adoption of…

The main aim of the present study was to carry out an in-depth examination of mathematics underperformance in Greece. By applying a binary multilevel model to the PISA 2012 data, this study investigated the factors which were linked to low achievement in mathematics. The multilevel analysis revealed that students' gender, immigration status,…

Millions of adults in the United States lack the necessary literacy skills for most living wage jobs. For students from adult learning classes, we used a lexical decision task to measure their knowledge of words and we used a decision-making model (Ratcliff's, 1978, diffusion model) to abstract the mechanisms underlying their performance from…

In the focus article of this issue, von Davier, Naemi, and Roberts essentially coupled: (1) a short methodological review of structural similarities of latent variable models with discrete and continuous latent variables; and (2) 2 short empirical case studies that show how these models can be applied to real, rather than simulated, large-scale…