Spielberger's State-Trait Anxiety Model makes a theoretical distinction between the contribution of dispositional anxiety and the transitory experience of anxiety to performance difficulties during testing situations. According to the State-Trait framework, state anxiety is viewed as the primary performance barrier for test-anxious students, and…

The Adult ADHD Self-Report Scale screener is commonly used to determine if further evaluation of ADHD is required. However, despite use in college settings, the ASRS was not developed for this population, and limited relevant psychometric data exist. In this study, 190 college students completed the ASRS screener as well as a lengthier measure of…

A short form of the 43-item Test Anxiety Measure for College Students (TAM-C) was developed in the present study. The TAM-C consists of six (social concerns, cognitive interference, worry, physiological hyperarousal, task irrelevant behaviors, and facilitating anxiety) scales. Twenty-four items from the TAM-C were selected for the short form.…

The study examined the validity of the scores produced by the Albanian version of the Olweus Bullying Questionnaire-Revised (OBQ-R), a self-reported measure for assessing the phenomena of bullying among school students. A sample of third to ninth grade students (N = 3262) completed the OBQ-R and the data were analyzed using an exploratory factor…

Raising the quality of initial teacher education can make an important contribution to raising the overall quality of the school system. In Australia, the National Framework for Professional Standards for Teaching is used as a common framework to set standards for the accreditation of teacher education programs. However, institution-wise…

Direct Behavior Rating (DBR) is an efficient method for monitoring changes in student behavior in response to intervention. Emerging research on DBR Multi-Item Scales (DBR-MIS) indicates that DBR-MIS has promising characteristics as a progress-monitoring assessment. Specifically, the multiple items within DBR-MIS allow stakeholders to measure…

This study describes the development and psychometric evaluation of a new self-report measure of social cognition: the Theory of Mind Inventory:Self-Report--Adult (ToMI:SR-Adult). Adults with autism (or a suspicion of autism; n = 111) and typically developing adults (n = 109) completed a demographic questionnaire and the ToMI:SR-Adult online. Both…

Purpose: The construct of well-being using Mental Health Continuum-Short Form (MHC-SF) (Corey L. M. Keyes et al., 2008) has been studied across various cultures, validated across several populations and languages. However, there are no published psychometric properties of its Urdu version. This study is an attempt to bridge this gap. The need was…

There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the…

This study aimed to adapt the "Teaching Students With Disabilities Self-Efficacy Scale" for contemporary school counseling practice. The adaptation, titled the "Students With Learning Disabilities School Counselor Self-Efficacy Scale," is a resource that assesses school counselors' belief in their ability to counsel and support…

The Chemistry Self-Concept Inventory (CSCI) is a widely used instrument within chemistry education research. Yet, agreement on its overall reliability and validity is lacking, and psychometric analyses of the instrument remain outstanding. This study examined the psychometric properties of the subscale and item function of the CSCI on 1140 high…

High quality student outcome measures provide the foundation for effective learning assessment. These outcomes can be organized into different categories, such as skills or habits of mind, and evidence types, such as direct or indirect. Prevailing models of assessment, however, focus only on the distinction between direct and indirect evidence…

We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…

With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…

This study is a conceptual replication of Ellis' 'Measuring implicit and explicit knowledge of a second language: A psychometric study', published in "Studies in Second Language Acquisition" (2005), aiming to establish the importance of including belief statements (hypothesized to increase processing demands) in the design of Elicited…