The second version of Kaiser's Measure of Sampling Adequacy (MSA[subscript 2]) has been widely applied to assess the factorability of data in psychological research. The MSA[subscript 2] is developed in the population and little is known about its behavior in finite samples. If estimated MSA[subscript 2]s are biased due to sampling errors,…

Providing consistent summative assessment to students is important, as the grades they are awarded affect their progression through university and future career prospects. While small cohorts are typically assessed by a single assessor, such as the module/class leader, larger cohorts are often assessed by multiple assessors, typically teaching…

This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…

Data on educational qualifications is essential in many research domains. The UK Millennium Cohort Study collected self-reported General Certificate of Secondary Education (GCSE) data in sweep 7 (cohort members aged 17). GCSE data from the National Pupil Database (NPD) has been linked to the MCS. This study investigates the consistency of these…

The current study examined the reliability of The Reading League Curriculum-Evaluation Guidelines (CEGs), which were developed to help school-based teams rate the presence of red flags when considering adopting specific literacy curricula. Coders (n = 30) independently used the CEGs to evaluate a free online English language arts curriculum. The…

Between limb strength, asymmetry is a leading risk factor for hamstring strain re-injury. However, few accurate testing methodologies are available in clinical settings. This study examined the validity and reliability of eccentric knee flexor torque measured with a novel Nordic Hamstring Device. Twenty-seven healthy participants were assessed in…

The typical process for assessing inter-rater reliability is facilitated by training raters within a research team. Lacking is an understanding if inter-rater reliability scores "between" research teams demonstrate adequate reliability. This study examined inter-rater reliability between 16 researchers who assessed fundamental motor…

Background and Aims: The reliability and validity of an intervention can be improved by checking treatment fidelity (TF). TF methods identify core components of an intervention, check their presence (or absence) and identify threats to fidelity. The Virtual Elaborated Semantic Feature Analysis (VESFA) intervention comprised individual sessions of…

Generalizability theory is a modern and powerful framework for conducting reliability analyses. It is flexible to accommodate both random and fixed facets. However, there has been a relative scarcity in the practical literature on how to handle the fixed facet case. This article aims to provide practitioners a conceptual understanding and…

The students are urged to do something without expecting anything in return and only in the name of God. Every islamic student becomes something ideal if they can internalize and implement sincerity. Many people are willing to do something because of an ulterior motive. The importance of sincerity in humans is the background for developing a…

This paper extends a prior study on the consistency of generative Artificial Intelligence (AI) models in evaluating Massive Open Online Course (MOOC) platforms. While the original work focused on the consistency of direct numerical scores, this research investigates the consistency of the rankings derived from those scores. When evaluating…

Algorithmic bias is a pressing concern in educational data mining (EDM), as it risks amplifying inequities in learning outcomes. The Area Between ROC Curves (ABROCA) metric is frequently used to measure discrepancies in model performance across demographic groups to quantify overall model fairness. However, its skewed distribution--especially when…

This study investigates the estimation of classification consistency and accuracy indices for composite summed and theta scores within the SS-MIRT framework, using five popular approaches, including the Lee, Rudner, Guo, Bayesian EAP, and Bayesian MCMC approaches. The procedures are illustrated through analysis of two real datasets and further…

This study considers the estimation of marginal reliability and conditional accuracy measures using a generalized recursion procedure with several IRT-based ability and score estimators. The estimators include MLE, TCC, and EAP abilities, and corresponding test scores obtained with different weightings of the item scores. We consider reliability…

Evaluation of child-friendly school (CFS) policies is essential to determine the achievements of school efforts in reducing violence cases. This research aims to proving the reliability and validity of CFS policy evaluation instruments in elementary schools with different locations. This investigation uses the Context Input Process Product (CIPP)…