Previously, we adapted the Home Situations Questionnaire to measure behavioral non-compliance in everyday settings in children with pervasive developmental disorders. In this study, we further revised this instrument for use in autism spectrum disorder and examined its psychometric properties (referred to as the Home Situations…

The sizable gender gap in college enrolment, especially among African Americans, constitutes a puzzling empirical regularity that may have serious consequences on marriage markets, male labor force participation and the diversity of college campuses. For instance, only 35.7 percent of all African American undergraduate students were men in 2004.…

A simulation study compared the performance of robust normal theory maximum likelihood (ML) and robust categorical least squares (cat-LS) methodology for estimating confirmatory factor analysis models with ordinal variables. Data were generated from 2 models with 2-7 categories, 4 sample sizes, 2 latent distributions, and 5 patterns of category…

This study developed an Internet Usage Scale (IUS) for use with adolescent populations. The IUS is a 26-item scale that measures participants' beliefs about how their Internet usage impacts their behavior. The sample for this study consisted of 947 middle school students. An exploratory factor analysis with varimax rotation was conducted on the…

Through the rapid expansion of information technologies, Learning Management Systems have become one of the most important innovations for delivering education. However, successful implementation and management of these systems are primarily based on the instructors' adoption. In this context, this study aims to understand behavioral intentions…

The purpose of this quantitative study is to understand the attitudes of Taiwanese adult citizens over 18 years of age toward science and technology. A theoretical model is constructed and evaluated to identify factors that affect public attitudes. Differences in citizens' gender, age, and educational level are also examined to determine whether…

Purpose: In western countries, a model to explain student engagement in college or university has long been established. However, there is a lack of research to develop and validate a model which may help to better understand student engagement in the local university context. There is currently no established instrument to measure student…

This article presents a state-space modeling (SSM) technique for fitting process factor analysis models directly to raw data. The Kalman smoother via the expectation-maximization algorithm to obtain maximum likelihood parameter estimates is used. To examine the finite sample properties of the estimates in SSM when common factors are involved, a…

This research involves the development and validation of a survey that measures users' acceptance of e-learning. A total sample of 386 university students from a teacher training institute in an Asian country participated in this study. Comprising two studies, the first study (n=197) initiated a generic questionnaire, and examined factorial…

The purpose of this study was to explore the areas of cooperation in which parent and teacher expectations were the same and where they differed. Data were obtained from a sample of 55 randomly selected primary schools. We analyzed school-to home communications, parental influence on school decisions, and parent involvement in different school…

Numerous procedures have been suggested for determining the number of factors to retain in factor analysis. However, previous studies have focused on comparing methods using normal data sets. This study had two phases. The first phase explored the Kaiser method, Scree test, Bartlett's chi-square test, Minimum Average Partial (1976&2000),…

The present study tested a number of theoretically and empirically derived measurement models of the Career Decision Self-Efficacy Scale-Short Form (CDSES-SF) using confirmatory factor analysis. Betz's five-factor model of the CDSES-SF, along with a number of alternative models, demonstrated adequate model fit in two independent samples. Based on…

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…

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…

This article tackles several issues involved in specifying, fitting, and interpreting the results of multilevel factor models for ordinal variables. First, the problem of model specification and identification is addressed, outlining parameter interpretation. Special attention is devoted to the consequences on interpretation stemming from the…