In this study, it was aimed to translate and adapt the Computational Thinking Multidimensional Test (CTMT) developed by Kang et al. (2023) into Turkish and to investigate its psychometric qualities with Turkish university students. Following the translation procedures of the CTMT with 12 multiple-choice questions developed based on real-life…

According to cognitive load theory, learning can only be successful when instructional materials and procedures are designed in accordance with human cognitive architecture. In this context, one of the biggest challenges is the accurate measurement of the different cognitive load types as these are associated with various activities during…

We develop and validate a self-report measure of intrinsic and extrinsic cognitive load suitable for measuring the constructs in a variety of learning contexts. Data were collected from three independent samples of college students in the U.S. (N[subscript total]= 513; M[subscript age]= 21.13 years). Kane's (2013) framework was used to validate…

The cognitive load imposed by instruction is an important consideration for instructional designers. Theoretical models have traditionally divided total cognitive load into intrinsic, extrinsic, and germane load. The 10-item Cognitive Load Inventory (CLI-10) is designed to measure these three types of cognitive load. It is typically administered…

Chulalongkorn University Language Institute (CULI) test was developed as a local standardised test of English for professional and international communication. To ensure that the CULI test fulfils its intended purposes, this study employed Kane's argument-based validation and Rasch measurement approaches to construct the validity argument for the…

Tools to measure autism knowledge are needed to assess levels of understanding within particular groups of people and to evaluate whether awareness-raising campaigns or interventions lead to improvements in understanding. Several such measures are in circulation, but, to our knowledge, there are no psychometrically-validated questionnaires that…

This study investigates children's vocabulary knowledge in Finnish Sign Language (FinSL), specifically their understanding of different form-meaning mappings by using a multilayered assessment format originally developed for British Sign Language (BSL). The web-based BSL vocabulary test by Mann (2009) was adapted for FinSL following the steps…

Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…

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…

Reasoning for complexity is a fundamental competency in these complex times for solutions to social problems and decision-making. The purpose of this paper is to demonstrate the validity and reliability of the eComplexity instrument by presenting its psychometric properties. The instrument consists of a Likert-type scale questionnaire designed to…

Measures of self-regulation may not capture adequate variability in children with low levels of self-regulation. This can limit a measure's ability to accurately demonstrate relations with other variables. The present study addressed this issue with a revised version of the Head-Toes-Knees-Shoulders task (HTKS-R), which includes a new downward…

Large scale international assessments depend on invariance of measurement across countries. An important consideration when observing cross-national differential item functioning (DIF) is whether the DIF actually reflects a source of bias, or might instead be a methodological artifact reflecting item response theory (IRT) model misspecification.…

This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…

The Educative Teacher Performance Assessment (edTPA) is a widely implemented performance assessment in the United States used to indicate the readiness of pre-service teachers to enter the classroom and the level of pre-service teacher preparation supported by individual colleges of education. The purpose of this study is to investigate the…

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 1,140 high…