The research aims to develop a measurement tool with validity and reliability for measuring loss of power (entropy) in schools. The study group of the research consists of a total of 596 teachers working in 15 public schools in Van Province in the 2023-2024 academic year. As a result of the application of Exploratory Factor Analysis (EFA) to 381…

The rapid advancement of educational technologies worldwide and the ubiquitousness of technology-integrated teaching and learning have posed great challenges to teachers. Technology leadership is an emerging focus among educators, it involves using technologies to lead learners' knowledge, abilities, and values development. However, there are few…

Assessment in education involves collecting and processing information related to student achievement during learning. Assessment activities help educators to find out where learners are having difficulties which for the sake of completeness requires an integrated instrument. The assessment carried out should conform to 21st-century learning…

This study aimed to adapt and examine the cross-cultural validity and reliability of the Coping with "Children's Negative Emotions Scale -- Teacher Version" (CNNES-T), which assesses the levels of early childhood (EC) teachers' perception of their reactions towards young children's negative emotions. For this purpose, two studies were…

This article focuses on the psychometric properties and characteristics of the Assessing School Settings: Interactions of Students and Teachers (ASSIST), an observational assessment administered by trained external observers of teacher practices, classroom context, and student behaviors at the classroom level. Study 1 examines variability,…

Internalizing and externalizing problems are common targets for school mental health screening. Prior research supports the interpretation of scores from the Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS), which were developed separately yet intended as companion measures. We extended previous…

Self concept is an experiential formation gained as a result of certain experiences. The concept of self-concept has an interesting intersection with the psychological field of humour. The aim of the study is to examine the relationship between the humor styles and self-perceptions of primary school 4th grade students and to conduct the…

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…