Testlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement. Responses to items within a testlet tend to be correlated even after controlling for…

Few issues in education threaten the nation as seriously as the present and growing shortage of teachers. Teacher attrition is high among teachers across the nation and is one of the most serious causes of teacher shortage (Ingersoll, 2004). As policy makers rush to address this problem, research is needed to examine the retention effects of…

This study applies the decomposed theory of planned behaviour to explore university faculty members' e-learning adoption in Brazil. Attitude (perceived usefulness, ease of use, compatibility, and relative advantage), subjective norms (external influence and student-instructor interaction), and behavioural control (level of interactivity and…

Globally, public schools enroll culturally and linguistically diverse student populations and teacher preparation programs must assess the cultural competence of preservice teachers. Yet, few adequately tested measures of teacher cultural competence are available. In this research study, a sample of 396 preservice teachers were surveyed to…

Seeking to address a gap in the literature, this article reports the development of an instrument to measure Hong Kong primary school music teachers' concerns about inclusive music education. To do so, a 25-item music teachers' Concern of Inclusive Music Teaching (CIMT) scale was constructed and administered to 317 primary schools music teachers…

As twenty-first century careers become more flexible, interest-oriented, and self-directed, the clarity of career goals alone is no longer sufficient. To better prepare students for the future world of work, engagement in proactive career behaviours is essential. The present study investigated the predictive relationships of career goal clarity,…

Statistical literacy refers to understanding fundamental statistical concepts. Assessment of statistical literacy can take the forms of tasks that require students to identify, translate, compute, read, and interpret data. In addition, statistical instruction can take many forms encompassing course delivery format such as face-to-face, hybrid,…

Secondary Traumatic Stress has been described as "the stress resulting from helping or wanting to help a traumatized or suffering person" (Figley, 1999, p. 10). College resident assistants often serve as first-responders to students who have experienced traumatic life events such as severe mental illness, substance abuse, sexual…

The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM). Results indicate that the MH-RM algorithm can produce estimates and standard…

Spline (or piecewise) regression models have been used in the past to account for patterns in observed data that exhibit distinct phases. The changepoint or knot marking the shift from one phase to the other, in many applications, is an unknown parameter to be estimated. As an extension of this framework, this research considers modeling the…

The full-information maximum likelihood (FIML) method makes it possible to estimate and analyze structural equation models (SEM) even when data are partially missing, enabling incomplete data to contribute to model estimation. The cornerstone of FIML is the missing-at-random (MAR) assumption. In (unidimensional) computerized adaptive testing…

The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…

Meta-analysis of diagnostic studies experience the common problem that different studies might not be comparable since they have been using a different cut-off value for the continuous or ordered categorical diagnostic test value defining different regions for which the diagnostic test is defined to be positive. Hence specificities and…

Regression methods are widely used by researchers in many fields, yet methods for synthesizing regression results are scarce. This study proposes using a factored likelihood method, originally developed to handle missing data, to appropriately synthesize regression models involving different predictors. This method uses the correlations reported…

In this commentary, David Thissen states that "Goodness-of-fit assessment for IRT models is maturing; it has come a long way from zero." Thissen then references prior works on "goodness of fit" in the index of Lord and Novick's (1968) classic text; Yen (1984); Drasgow, Levine, Tsien, Williams, and Mead (1995); Chen and…