This study compares the psychometric properties of scales developed using Exploratory Factor Analysis (EFA), Self-Organizing Map (SOM), and Andrich's Rating Scale Model (RSM). Data for the research were collected by administering the "Statistical Attitude Scale" trial form, previously used in a separate study, to 808 individuals. First,…

We develop a "latent variable forest" (LV Forest) algorithm for the estimation of latent variable scores with one or more latent variables. LV Forest estimates unbiased latent variable scores based on "confirmatory factor analysis" (CFA) models with ordinal and/or numerical response variables. Through parametric model…

Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…

Determining the number of factors in exploratory factor analysis (EFA) is crucial because it affects the rest of the analysis and the conclusions of the study. Researchers have developed various methods for deciding the number of factors to retain in EFA, but this remains one of the most difficult decisions in the EFA. The purpose of this study is…

This study aimed to develop and validate the Creative Problem-Solving Skills Test (CPSS-T), grounded in Torrance's creativity theory, to assess these skills in university students. The CPSS-T consists of five open-ended question types, each designed to measure different aspects of creative problem-solving: Alternative Use, Hypothetical Scenario,…

The aim of this study was to develop a novel assessment tool utilizing Schlossberg's 4S model (Situation, Self, Support, and Strategies), with a specific focus on assessing the career transition of high school senior students to university. The study group consisted of high school students from five different high schools. The pilot and trial…

The aim of this study is to examine the validity, reliability, and responsiveness of the Turkish version of the Adolescent Health Promotion-Short Form (AHP-SF). This cross-sectional study was completed with 1483 students. Confirmatory factor analysis (CFA) supported the construct validity of the scale, demonstrating a good model fit with…

Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…

The Fourth Industrial Revolution Chemistry Teachers Effectiveness Scale (4IRCTES) was evaluated in secondary schools in Southwest Nigeria to determine its item discrimination, item parameters, and model-data fit. This study utilised a descriptive survey research design and included 4,986 Chemistry teachers in the southwestern region of Nigeria,…

Among all, Cronbach's Alpha and McDonald's Omega are commonly used for reliability estimations. The alpha uses inter-item correlations while omega is based on a factor analysis result. This study uses simulated ordinal data sets to test whether the alpha and omega produce different estimates. Their performances were compared according to the…

Objective: The purpose of this study was to develop and validate the Counselor Self-Reflection Inventory (CSRI) from a Transformative Learning Theory framework for counselors, and counselors-in-training to use in clinical and training settings. Method: A sample of 351, mostly female (86.89%), white (85.19%), counselors with MS or MA (88.08%)…

More than a decade after two comprehensive examinations of the technical properties of the ClassMaps Survey (CMS), this study reexamined the structure and internal consistency of the scale and, for the first time, examined its measurement invariance across gender and school levels. Participants were 1,083 elementary and middle level students from…

Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…

The purpose of this research is to develop a scale to determine teachers' self-efficacy levels regarding differentiated instruction. To create the item pool, the first 61 item draft form was prepared. This draft form was submitted to the opinion of experts from different fields and necessary corrections were made. Before starting the analysis…

Response time models (RTMs) are of increasing interest in educational and psychological testing. This article focuses on the lognormal model for response times, which is one of the most popular RTMs. Several existing statistics for testing normality and the fit of factor analysis models are repurposed for testing the fit of the lognormal model. A…