Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

Interdisciplinary thinking is critical for equipping students to apply scientific knowledge and tackle societal challenges across various disciplines, which has been recognized as a key objective of twenty-first century science education. However, research on effective interdisciplinary assessment in secondary school science education is still…

Evidence-based assessment (EBA) requires that investigators employ scientific theories and research findings to guide decisions about what domains to measure, how and when to measure them, and how to make decisions and interpret results. To implement EBA, investigators need high-quality assessment tools along with evidence-based processes. We…

The aim of this study was to identify the components of fair classroom assessment and formulate a conceptual framework for it by following the steps proposed by Okoli and Schabram for a systematic review. For this purpose, three databases including ERIC, Elsevier, and Springer were systematically searched. As a result of this research, 39…

We present the validation of a questionnaire for compulsory secondary school students (seventh to tenth grade), designated "Educational learning environments for ESO pupils" (CEApA_ESO), for the purpose of evaluating learning environments. Although many instruments have been developed in this area, our work attempts to comprehensively…

As part of efforts to improve the quality of mathematics' teaching and evaluation, we examined the focus of math teachers' considerations in evaluating students' achievements, as well as the links between these focuses, regarding differences between students and the validity and reliability of assessment methods and examinations. Based on the…

Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…

The purpose of this systematic review is to evaluate the state-of-the-art of competency measurement methods with an aim to inform the creation of reliable and valid measures of student mastery of competencies in communication, lifelong learning, innovation/creativity and teamwork in engineering education. We identified 99 studies published in…

This study demonstrates the importance of Rasch Measurement Theory (RMT) in program evaluation when outcome measures need to be constructed from scratch. The paper introduces typical measure validation methods presented in program evaluation texts and discusses room for improvement. The study then illustrates how the seamless transitions from…

Frequent language exposure and use are among the most important conditions for successful language learning, whether in classrooms, during study abroad, or in other informal contexts. Research probing exposure and usage often relies on one-off self-report questionnaires in which participants estimate their typical level of language exposure over…

Developmental science demonstrates that younger children (ages 4 to 8) are capable of making meaning of their contexts and the self. Yet, younger children's meaning making is largely absent from intervention and implementation research on early childhood policies. This absence is notable given the rise in investment in early childhood policies and…

Although much research has compared the functioning between analytic and holistic rating scales, little research has compared the functioning of binary rating scales with other types of rating scales. This quantitative study set out to preliminarily and comparatively validate binary and analytic rating scales intended for use in formative…

This article presents the results of a systematic review of methods that have been used to measure or assess metacognition in children aged 4-16 years over a 20-year period (1992-2012). It includes an overview of the types of tool and methods used linked with the ages of the participants targeted and how metacognition and associated concepts are…

Technological literacy is identified as a vital achievement of technology- and engineering-intensive education. It guides the design of technology and technical components of educational systems and defines competitive employment in technological society. Existing methods for measuring technological literacy are incomplete or complicated,…