This article focuses on the psychometric properties and characteristics of the Assessing School Settings: Interactions of Students and Teachers (ASSIST), an observational assessment administered by trained external observers of teacher practices, classroom context, and student behaviors at the classroom level. Study 1 examines variability,…

Internalizing and externalizing problems are common targets for school mental health screening. Prior research supports the interpretation of scores from the Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS), which were developed separately yet intended as companion measures. We extended previous…

The current study investigated the utility of the Brief Observation of Social Communication Change-Phrase Speech Young Fluent (BOSCC-PSYF) as an outcome measure of treatment response by analyzing the measure's psychometric properties and initial validity. The BOSCC coding scheme was applied to 345 administrations from 160 participants diagnosed…

In prior work, we fit the mixture Rasch model to item responses from a fractions survey administered to a nationwide sample of middle grades mathematics teachers in the United States. The mixture Rasch model located teachers on a continuous, unidimensional scale and fit best with 3 latent classes. We used item response data to generate initial…

As algorithmic decision making is increasingly deployed in every walk of life, many researchers have raised concerns about fairness-related bias from such algorithms. But there is little research on harnessing psychometric methods to uncover potential discriminatory bias inside decision-making algorithms. The main goal of this article is to…

We developed and validated scores on the Lifestyle Practices and Health Consciousness Inventory (LPHCI)-2: Brief Version, a short form for measuring global wellness (mental and physical health). Tests of internal structure (EFA, CFA, and higher-order CFA) as well as convergent validity supported the psychometric properties of LPHCI-2: Brief…

This study aimed to examine the effects of reverse items created with different strategies on psychometric properties and respondents' scale scores. To this end, three versions of a 10-item scale in the research were developed: 10 positive items were integrated in the first form (Form-P) and five positive and five reverse items in the other two…

Diagnostic classification models (DCMs) are psychometric models that yield probabilistic classifications of respondents according to a set of discrete latent variables. The current study examines the recently introduced one-parameter log-linear cognitive diagnosis model (1-PLCDM), which has increased interpretability compared with general DCMs due…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

This research aimed to develop formative assessment rubrics for enhancing students' performance on Thai percussion instruments using the Many-Facet Rasch Measurement Partial Credit model (MFRM-PCM). Samples were high-school students playing four types of Thai instruments and the raters who were qualified and properly trained. The research…

Vocabulary knowledge plays an important role in language learning and language proficiency, but it is difficult to know how much of a role it plays without appropriate vocabulary measures. In this article, we first discuss learner vocabulary in our research on Korean as a second/foreign language. Unable to find appropriate measures for receptive…

Postgraduate students need to be equipped with self-determined learning skills in order to meet the demands of higher degree and employment in the fourth industrial revolution (IR 4.0) environment. However, the lack of analysis conducted on item level for validating the measurement of postgraduate students' self-determined learning skills prompted…

Objective: Brief Self-Control Scale (BSCS) is the most widely used instrument to assess self-control. The purpose of this reliability generalization meta-analysis was to examine the degree to which consistency reliability coefficients for scores on the BSCS generalize across age groups and languages. Method: We included studies using the BSCS and…

This was the first study in which a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. This study also represented the first time a psychometrically validated STEM measure, the "Student STEM" (S-STEM), was studied for HSSWD. Data were collected from 229 HSSWD in a western state and…

The present study aims to develop the Cyberbullying Awareness Scale (CAS) for adolescents, which assesses adolescents' awareness about cyberbullying, and to examine the psychometric properties of the scale by conducting validity and reliability studies. In this context, evidence on the validity and reliability of the scale was obtained in two…