Elicited Imitation Tests (EITs) are commonly used in second language acquisition (SLA)/bilingualism research contexts to assess the general oral proficiency of study participants. While previous studies have provided valuable EIT construct-related validity evidence, some key gaps remain. This study uses an integrative data analysis to further…

This paper presents the findings of a study that intended to seek the content validity (CV) evidence of an instrument to measure the reading ability of university students in Sri Lanka. The reading passages and items were adapted from CEFR aligned Learning Resource Network (LRN) materials. The items were designed based on the cognitive processing…

Religious morals are important to be explored in each student in participating in learning in the new normal era. The purpose of this study is to develop a religious motivation scale instrument that can be used to photograph students' religious motivation in this new normal era. Research applies ADDIE research and development design. Participants…

Given the significant global influence of the Common European Framework of Reference for Languages: Teaching, Learning, and Assessment (CEFR) on English language education, this study deals with aligning a university's academic reading tests to the CEFR. It aimed at validating the test construct of the academic reading tests in relation to the…

Rationale is presented for the derivation of a new measure of stressful life events for use with students [the Negative Life Events Scale for Students (NLESS)]. Ten stressful life events questionnaires were reviewed, and the more than 600 items mentioned in these scales were culled based on the following criteria: (a) only long-term and unpleasant…

In this study, we examined the results and interpretations produced from two different IRTree models--one using paths consisting of only dichotomous decisions, and one using paths consisting of both dichotomous and polytomous decisions. We used data from two versions of an impulsivity measure. In the first version, all the response options had…

The current study compared the model fit indices, skill mastery probabilities, and classification accuracy of six Diagnostic Classification Models (DCMs): a general model (G-DINA) against five specific models (LLM, RRUM, ACDM, DINA, and DINO). To do so, the response data to the grammar and vocabulary sections of a General English Achievement Test,…

The aim of this study is to adapt the Statistics Anxiety Scale (SAS) developed by Vigil-Colet et al. (2008) to Turkish. This study is expected to fill an important gap in the literature since no valid and reliable specific statistics anxiety scale developed or adapted in Turkish for undergraduate students in the literature is available. The sample…

Identification and further motivation of gifted students are widely discussed among the science education community. In the context of the educational system of the Czech Republic, competitions serve as one of the main ways to identify those gifted in precollege education. In this article, we report the foundation of a team-based open-book…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

The focus on science, technology, engineering, and mathematics fields has noticeably increased in recent decades with the rapid growth in technology. Mathematical knowledge and competence is in many ways a gateway to scientific and technical development, and therefore careers (Prieto & Delgado, 2007). Unfortunately, national and international…

The article is devoted to the problem of survey items that ask for sensitive information. This factor has a significant impact on the quality and comparability of data from international surveys. We propose a methodology that can be used to comparatively study the level of sensitivity of questions. It is often used in public opinion polls as well…

Mixture item response theory (MixIRT) models combine IRT models with latent class model and assume that there exist latent subpopulations in the data. Identification of latent subpopulations via MixIRT models produces more detailed information. Detailed information about the response processing of examinees provides a better understanding of the…

While numerous studies have analyzed the conceptions probed by the Force Concept Inventory (FCI), assessments dedicated to electricity and magnetism lack similar analyses. This paper investigated the conceptions explored by the Brief Electricity and Magnetism Assessment (BEMA) and the Conceptual Survey of Electricity and Magnetism (CSEM) using…

Most of the existing classification accuracy indices of attribute patterns lose effectiveness when the response data is absent in diagnostic testing. To handle this issue, this article proposes new indices to predict the correct classification rate of a diagnostic test before administering the test under the deterministic noise input…