This study investigated the technical characteristics of four early measurement curriculum-based measures (EM-CBMs) designed to assess concepts related to linear measurement and iteration. The sample consisted of 221 first grade students. Data were collected at two time points approximately 10 weeks apart. Reliability and concurrent and predictive…

Consuming sports products and services incessantly without being able to restrain oneself is characterized as compulsive sports consumption. The aim of this study is to adapt the Compulsive Sport Consumption Scale (CSCS) developed in English by Aiken et al. (2018) into Turkish utilizing a scientific scale adaptation process. The CSCS consists of…

The objective of this study was to develop and validate an instrument measuring the perception and interpretation of several distinct musical features (pitch, tonality, timing, loudness, and timbre). Therefore, we developed the Implicit Tonal Ability Test (ITAT), a listening test containing 49 multiple-choice items. A total of 233 children aged 6…

Over the decades, counselors have been asked to provide culturally appropriate services to clients and make social justice efforts (American Counseling Association, 2014; Arredondo et al., 1996; Sue et al., 1982). School counselors have also been encouraged to act as social justice leaders who advocate for systemic changes in schools (Curry &…

Creativity can be measured with a variety of methods including self-reports, others reports, and ability tests. While typical self-reports are best understood as weak proxies of creativity, biographical reports that assess previous creative activities seem more promising. Drawbacks of such measures -- including skewed item distributions, a lack of…

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…

This study examined the psychometric properties of the Positive and Negative Affect Schedule for Children-Short Form (PANAS-C-SF) in a diverse sample of 15-year-olds in the United States [N = 4382]. Multiple measurement models, including a one-factor model, two-factor orthogonal and oblique models, a three-factor model (PA, Fear, and Distress),…

A questionnaire for measuring Context University Skills and Workplace-Recognized Skills (LCUS-WRS) requires a validated and reliable instrument. The purpose of this study was to develop and validate a questionnaire to measure learning of context university skills and workplace-recognized skills, in order to carry out an advanced psychometric…

With the development of artificial intelligence (AI) applications, it has become critical for scholars, educators and practitioners to understand an individual's perceived self-efficacy regarding the use of AI technologies/products. Understanding users' subsequent behaviors toward the advancement of AI technology is also critical. Despite the…

Limited research has been conducted on the spatial ability of veterinary students and how this is evaluated within anatomy assessments. This study describes the creation and evaluation of a split design multiple-choice question (MCQ) assessment (totaling 30 questions divided into 15 non-spatial MCQs and 15 spatial MCQs). Two cohorts were tested,…

This dissertation comprises three complementary studies that aim to advance the understanding and practice of Individualized Education Programs (IEP) and Present Levels of Academic Achievement and Functional Performance (PLAAFP) development in special education. In the first study, we systematically reviewed empirical research measuring IEP…

This study aimed to develop and test a University Students' Perceptions of Physical Education (PE) Scale. The study was conducted in three phases in a southwestern city in China from December 2021 to October 2022. In Phase 1, an item pool was constructed based on a literature review and semi-structured interviews. In Phase 2, expert evaluations…

This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…

This research paper introduces the (D)FIT-Choice (Digital Factors Influencing Teacher Choice) scale and discusses the outcomes of its initial implementation. The (D)FIT-Choice scale expands upon the existing FIT-Choice scale by incorporating additional subscales, namely "Prior digital technology use in education" within Socialization…

The significance of environmental education has become more evident, driven by global concerns surrounding climate change. In Vietnam, a country facing significant environmental challenges, developing environmental knowledge of elementary school teachers is crucial. This study aimed to validate a questionnaire for assessing professional knowledge…