A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory (CTT) models, which traditionally distinguish between true scores and error scores, the responses are clearly linked to latent traits. It is shown that CTT models can be derived as special cases, but the model class is…

The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…

In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual…

Determining the number of dimensions is extremely important in applying item response theory (IRT) models to data. Traditional and revised parallel analyses have been proposed within the factor analysis framework, and both have shown some promise in assessing dimensionality. However, their performance in the IRT framework has not been…

This study explores the usefulness of covariates on equating test scores from nonequivalent test groups. The covariates are captured by an estimated propensity score, which is used as a proxy for latent ability to balance the test groups. The objective is to assess the sensitivity of the equated scores to various misspecifications in the…

Current conceptualisations of feedback contend that it should be a learner-centred process. In practice, however, text-based feedback comments from teachers are a convenient and common source of feedback information, despite appearing to be contra-indicative of learner-centred models. This raises the question of how teachers can tackle the design…

In dichotomous item response theory (IRT) framework, the asymptotic standard error (ASE) is the most common statistic to evaluate the precision of various ability estimators. Easy-to-use ASE formulas are readily available; however, the accuracy of some of these formulas was recently questioned and new ASE formulas were derived from a general…

Even though emotions are central in many counselling modalities, how best to work with emotions has not often been clearly articulated or practically presented for counsellors. In this paper I outline a brief history of the science of emotion, highlighting the role of emotional regulation in the counsellor-client attachment and present a five-step…

Language proficiency diagnosis is essential to extract fine-grained information about the linguistic knowledge states and skill mastery levels of test takers based on their performance on language tests. Different from comprehensive standardized tests, many language learning apps often revolve around word-level questions. Therefore, knowledge…

As targeted, single-conception curriculum research becomes more prevalent in physics education research (PER), the need for a more sophisticated statistical understanding of the conceptual surveys used becomes apparent. Previously, the factor structure of the Force Concept Inventory (FCI) was examined using exploratory factor analysis (EFA) and…

This document provides guidance for establishing a levels of services (LoS) model for gifted and advanced learners. The Advisory Council on the Education of Gifted and Talented Students recommends that all Missouri public school districts, regardless of size, provide varied and multiple services to meet the needs of gifted and talented learners.…

Online learning has become a standard in today's teaching environment whether teaching fully online or using a blended learning approach. Various kinds of emerging technologies such as Virtual Reality are continually evolving or being developed, and educators are required to keep up with this trend. Educators are required to create and teach…

Streamlined supervision frameworks are needed to enhance and progress the practice and training of supervisors. This author proposes the SuperSkills Model (SSM), grounded in the practice of microskills and supervision common factors, with a focus on the development and foundational learning of supervisors-in-training. The SSM worksheet prompts for…

Background: Nowadays, the attention to integrate Science, Technology, Engineering and Mathematics (STEM) education to the existing curriculum is widely increasing around the world. In the early childhood education settings, many researchers have discussed the importance of early introduction to STEM education for children. However, the initiatives…

The present study used an established model of feedback (Hattie & Timperley, 2007) as a framework to explore which types and levels of feedback are most common in the upper primary classroom. Results demonstrate that feedback was predominantly directed toward the task level and that feed forward, information about the next steps for learning,…