This research paper investigated the importance of conducting measurement invariance analysis in developing measurement tools for assessing differences between and among study variables. Most of the studies, which tended to develop an inventory to assess the existence of an attitude, behavior, belief, IQ, or an intuition in a person's…

The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as "measurement"). The measurement literature has seen rapid growth in applications of ML to solve measurement problems. However, as we emphasize in this article, it is imperative to critically…

Number lines can benefit students in learning an array of mathematical concepts. An area of mathematics where number lines are visibly underused is in teaching measurement concepts. For students in upper elementary grades, accurate measurements require the use of mathematical precision and coordination, including skills in fractions and decimals,…

Students often learn about measurement uncertainty as an isolated topic, with a focus on generalizable strategies to manage uncertainty in scientific investigation. In this study, we report and analyze a case of emergent learning about measurement and uncertainty, in which students in a Chinese elementary school science class explored and…

Measurement concepts are an essential foundation for more advanced mathematical concepts. To address the challenges of students with autism spectrum disorder (ASD) in learning measurement concepts, this study investigated the effects of using a combination of explicit instruction and virtual manipulatives (VMs) to teach measurement concepts to…

As countries make continued investments in early childhood care and education (ECCE) systems, data and measurement play a critical role in outlining strengths and areas for improvement. To promote data-driven decision-making across all levels of early childhood systems, measurement must be valid, reliable, and feasible, especially when used at…

Understanding measurement uncertainty is crucial in experimental physics, as it enables accurate and reliable measurements, facilitates comparison between measurements, and aids in designing experiments. Consequently, measurement uncertainty has emerged as a critical learning goal for many introductory physics labs. Here, we explore the impact of…

Measurement uncertainty is a key topic in the university physics laboratory curriculum. In this study, we investigate students' ability to draw conclusions from measurement data and reasoning about measurement uncertainty in inquiry labs. This investigation centres around a task where students conclude whether measurements from two experiments…

Purpose: Standardised questionnaires are used to measure the outcomes of citizenship education. These outcomes are often compared across groups to document different outcomes, for example, between boys and girls. A prerequisite for cross-group comparisons is an assessment of measurement invariance. Methodology: This study used data from 6035…

This article discusses the basics of the "4 scales of measurement" and how they are applicable to research or everyday tools of life. To do this you will be able to list and describe the four types of scales of measurement used in quantitative research; provide examples of uses of the four scales of measurement; and determine the…

The empirical data in this study are from a series of two lessons on measurement implemented in seven classes with 119 six-year-old students in Sweden. Both problem solving and problem posing were shown to be important in early mathematics when students in this study worked on one problem-solving task and one problem-posing task on measurement. As…

Measurement in the social sciences involves assigning values to particular empirical cases and plays a vital role in the research process, but it can be tricky to teach. Unless an undergraduate social sciences research methods course includes the collection of original data, many of the issues of measurement can seem abstract and arcane to…

Studies are emerging documenting the experience of fatigue, exhaustion and loss of functioning that has long been described by autistic adults as autistic burnout. New assessment tools are needed to enable identification and diagnosis. Here, we sought to identify factors associated with severity, develop an autistic burnout assessment and test the…

One of the main objectives of international large-scale assessments is to make comparisons between different countries, education policies, education systems, or subgroups. One of the main criteria for making comparisons between different groups is to ensure measurement invariance. The purpose of this study was to test the measurement invariance…

Data visualization is a core tenet of communicating measurement research and outcomes. Measurement professionals utilize data visualization in various phases of research, including exploration and communication. However, data visualization has not received enough attention in the measurement field. While it is true that many measurement graphics…