Unidimensionality and local independence are two common assumptions of item response theory. The former implies that all items measure a common latent trait, while the latter implies that responses are independent, conditional on respondents' location on the latent trait. Yet, few tests are truly unidimensional. Unmodeled dimensions may result in…

Research focused on student belonging has sometimes used available measures in a unidimensional way despite evidence of multidimensionality in these scales. This study introduces a new unidimensional measure of school belonging that is psychometrically robust with preliminary evidence of construct validity that we call the Simple School Belonging…

Our purpose was to examine different approaches to modeling the time-varying nature of exceptionality classification. Using longitudinal data from one state's mathematics achievement test for 28,829 students in Grades 3 to 8, we describe the reclassification rate within special education and between general and special education, and compare four…

Regression, weighting and related approaches to estimating a population mean from a sample with nonrandom missing data often rely on the assumption that conditional on covariates, observed samples can be treated as random. Standard methods using this assumption generally will fail to yield consistent estimators when covariates are measured with…

Growth curve models with different types of distributions of random effects and of intraindividual measurement errors for robust analysis are compared. After demonstrating the influence of distribution specification on parameter estimation, 3 methods for diagnosing the distributions for both random effects and intraindividual measurement errors…

In recent years, many states have adopted Item Response Theory (IRT) based vertically scaled tests due to their compelling features in a growth-based accountability context. However, selection of a practical and effective calibration/scaling method and proper understanding of issues with possible multidimensionality in the test data is critical to…

The current study presents a newly developed measurement: the TEMO (Teacher and Motivation) scale, which assesses adolescent students' perception of liked and disliked teachers and the resulting impact on their academic motivation. A total of 1,088 students from secondary schools in Germany participated in this study. To explore the underlying…

School districts throughout the United States are increasingly providing greater autonomy to local public (non-charter) school principals. In 2005-06, Chicago Public Schools initiated the Autonomous Management and Performance Schools program, granting academic, programmatic, and operational freedoms to select principals. This paper provides…

Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this article, the "t" distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian…

Item response theory (IRT) methods are generally used to create score scales for large-scale tests. Research has shown that IRT scales are stable across groups and over time. Most studies have focused on items that are dichotomously scored. Now Rasch and other IRT models are used to create scales for tests that include polytomously scored items.…

As the largest international study ever taken in history, the Trend in Mathematics and Science Study (TIMSS) has been held as a benchmark to measure U.S. student performance in the global context. In-depth analyses of the TIMSS project are conducted in this study to examine key issues of the comparative investigation: (1) item flaws in mathematics…

This study examined the effects of an intervention in writing with digital interactive books. To improve the writing skills of seventh- and eighth-grade students with a learning disability in reading, we conducted a quasi-experimental study in which the students read interactive digital books (i-books), took notes, wrote summaries, and acted as…

A frequent applied method in career assessment to elicit clients' self-concepts is asking them to predict their interest assessment results. Accuracy in estimating one's interest type is commonly taken as a sign of more self-awareness and career choice readiness. The study evaluated the empirical relation of accuracy of self-estimation to career…