This study evaluates the predictive validity of Texas's course-based College, Career, and Military Readiness (CCMR) indicators by examining how different pathways relate to postsecondary outcomes. While the state's accountability system treats college prep and dual credit pathways as equivalent signals of readiness, this analysis shows that they…

In this study, we applied different text-mining methods to the originality scoring of the Unusual Uses Test (UUT) and Just Suppose Test (JST) from the Torrance Tests of Creative Thinking (TTCT)--Verbal. Responses from 102 and 123 participants who completed Form A and Form B, respectively, were scored using three different text-mining methods. The…

The aim of this study was to initially validate the REDFLAGS model, 8 cautionary warning signs of mental distress in college students. A test of internal consistency reliability and factor analysis supported the model's reliability and construct validity. Hierarchical logistic regression models endorsed the model's predictive validity; students'…

Researchers developed and initially validated a client-report measure of counselors' cultural humility, entitled the Cultural Humility and Enactment Scale (CHES). The sample includes 434 adults recruited from web-based surveys. Exploratory factor analyses were performed to examine the initial factor structure of the CHES. Bivariate correlations…

International English Language Testing System (IELTS) scores have been widely used as the language entry requirements for international students in many English-medium universities. However, research on the predictive validity of IELTS on subsequent academic performance has been inconclusive. Additionally, despite the proliferation of IELTS…

Many universities use diagnostic tests to assess incoming students' preparedness for mathematics courses. Diagnostic test results can help students to identify topics where they need more practice and give lecturers a summary of strengths and weaknesses in their class. We demonstrate a process that can be used to make improvements to a mathematics…

The recently proposed "continuous-time latent curve model with structured residuals" (CT-LCM-SR) addresses several challenges associated with longitudinal data analysis in the behavioral sciences. First, it provides information about process trends and dynamics. Second, using the continuous-time framework, the CT-LCM-SR can handle…

Introduction: There are different tests that assess attention and can help to make a differential diagnosis between ADHD and Learning Disabilities (LD), but there appears to be little research on the convergent and predictive validity of these tests. The aim of this study was to analyze the convergent validity of the EMAV, Caras, d2, AGL, CPT-II…

This study investigates the validity of syntactic priming as a measure of implicit language aptitude. Syntactic priming refers to the tendency to reproduce a linguistic structure due to a previous exposure to the structure. The validity of the construct was verified by collating evidence for divergent validity--whether it is dissociable from…

Purpose: This study aims to explore the conception and construct of ideological leadership (IL) as it relates to public organizations, such as public schools, and to validate a tool for its measurement in this setting. Design/methodology/approach: Data was collected from 633 teachers working at 69 randomly-sampled Israeli public schools. In each…

Standards for accreditation by the Association to Advance Collegiate Schools of Business emphasize the assessment of student learning as an avenue to continuously improve business school curricula. The study reported here, which took place in an Association to Advance Collegiate Schools of Business-accredited business school in a mid-sized…

Prior work has documented a substantial penalty associated with taking the Partnership for Assessment of Readiness for College and Careers (PARCC) online relative to on paper (Backes & Cowan, 2019). However, this penalty does not necessarily make online tests less useful. For example, it could be the case that computer literacy skills are…

The societal demand for graduates with expertise in Science, Technology, Engineering, and Mathematics (STEM) stands in contrast with prevalent issues of diminished interest among high school students in STEM subjects and low completion rates in STEM academic programs. In the Flemish educational context, heterogeneity in STEM preparedness of…

Student engagement in science classroom is an essential element for delivering effective instruction. However, the popular method for measuring students' emotional learning engagement (ELE) relies on self-reporting, which has been criticized for possible bias and lacking fine-grained time solution needed to track the effects of short-term learning…

Self-report measures are essential sources of information about learners' studying perceptions. These perceptions also guide self-regulated learning (SRL) decisions and strategies in future studying. However, the development of self-report methods has not kept pace with other multi-modal methodological advancements, particularly in the field of…