In sample survey analysis, accurate population mean estimation is an important task, but traditional approaches frequently ignore the intricacies of real-world data, leading to biassed results. In order to handle uncertainties, indeterminacies, and ambiguity, this work presents an innovative approach based on neutrosophic statistics. We proposed…

This study focused on developing physics test instruments for senior high school students on the topics of temperature and heat. The study aimed to determine (i) the quality of the test instrument content, (ii) the feasibility of the test instrument, and (iii) students' graphic representation abilities on "Temperature and Heat" topics.…

This paper reports on a systematic literature review to understand better methodologies and data collection tools used to judge student teaching effectiveness, ways in which validity and reliability are considered, the processes involved in assessing new teaching effectiveness within teacher education programmes, and how evaluation and results are…

The flexion relaxation ratio (FRR) of the lumbar extensor muscles is often assessed in experimental and clinical studies. This study evaluated within- and between-session test--retest reliability and measurement error for different FRR formulations. Participants completed two identical data collection sessions 1-week apart. Spine flexion and…

A full structural equation model (SEM) typically consists of both a measurement model (describing relationships between latent variables and observed scale items) and a structural model (describing relationships among latent variables). However, often researchers are primarily interested in testing hypotheses related to the structural model while…

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…

The product Bayes factor (PBF) synthesizes evidence for an informative hypothesis across heterogeneous replication studies. It can be used when fixed- or random effects meta-analysis fall short. For example, when effect sizes are incomparable and cannot be pooled, or when studies diverge significantly in the populations, study designs, and…

Background: The Scenario Test is recognised for its effectiveness in assessing the interactive aspects of functional communication in people with post-stroke aphasia (PWA). Aims: To develop a Japanese version of the Scenario Test (Scenario Test-JP) and assess its reliability and validity. Methods & Procedures: Among 66 participants, we…

Student satisfaction in online live classes is considered an important criterion to evaluate the effectiveness of this instructional system. This study aims to develop a performance evaluation index to measure the satisfaction of students who have mastered Chinese language and literature through online live classes. Guided by survey techniques and…

To solve the attenuation paradox in computerized adaptive testing (CAT), this study proposes an item selection method, the integer programming approach based on real-time test data (IPRD), to improve test efficiency. The IPRD method turns information regarding the ability distribution of the population from real-time test data into feasible test…

Purpose: This study aims to develop and validate a scale to measure Teacher Entrepreneurial Behavior (TEB), which encapsulates the behaviors teachers employ to identify and amplify innovation in schools. TEB are catalysts for innovation, navigating their peers through risks and building trust, which empowers the collective to transcend structural…

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…

The assessment of test anxiety has received increasing attention in educational research due to the potential negative effects of anxiety on student performance. Traditionally, test anxiety scales have been developed for mathematics, but few studies have focused on physics. In this study, we validated two test anxiety scales for undergraduate…