Predicting student performance has been a critical focus of educational research. With an effective predictive model, schools can identify potentially at-risk students and implement timely interventions to support student success. Recent developments in educational data mining (EDM) have introduced several machine learning techniques that can…

Words read correctly per minute (WCPM) is the reporting score metric in oral reading fluency (ORF) assessments, which is popularly utilized as part of curriculum-based measurements to screen at-risk readers and to monitor progress of students who receive interventions. Just like other types of assessments with multiple forms, equating would be…

Ensemble Thinking (ET) is a toolkit of movement scores developed by dance-maker Nina Martin in the 1980s in New York City. The scores of ET arose out of a confluence of Martin's choreographic and improvisational performance practices. The impetus for developing ET was to develop a technical language for creating and discussing improvised dance.…

Children with gifted intellects often earn lower scores on measures of processing speed than their nongifted counterparts. However, neuropsychological research indicates such a profile of scores is likely not due to a true innate neurocognitive processing speed deficit but is rather a statistical artifact resulting from the interference of common…

This paper presents the item and test information functions of the Rank two-parameter logistic models (Rank-2PLM) for items with two (pair) and three (triplet) statements in forced-choice questionnaires. The Rank-2PLM model for pairs is the MUPP-2PLM (Multi-Unidimensional Pairwise Preference) and, for triplets, is the Triplet-2PLM. Fisher's…

The use of large-scale assessments (LSAs) in education has grown in the past decade though analysis of LSAs using multilevel models (MLMs) using R has been limited. A reason for its limited use may be due to the complexity of incorporating both plausible values and weighted analyses in the multilevel analyses of LSA data. We provide additional…

Purpose: The aims of this research include: (1) to identify the scores of reading literacy in 34 provinces and (2) to determine the impact of ICT literacy with other variables on reading literacy in Indonesia. Design/methodology/approach: Thematic maps and Spatial Autoregressive Regression were applied to 2019 AKSI Survey data. Findings: The…

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…

The Critical Thinking Assessment Test (CAT) is a tool for evaluating students' critical thinking skills in various educational institutions within and outside the United States. While institutions regard the CAT as a high-stakes assessment, students may perceive it as a low-stakes test due to its lack of personal or academic repercussions. This…

In this article, we analyze the relationship between class sizes and examination results in higher education. Data from the University of Stavanger, collected in the Common Student System (FS) in the period from 2011 to 2021, shows that there is a negative correlation between the number of students enrolled on courses and examination results. An…

In this article, the author updates his prior studies of LSAT® scores (Nieswiadomy 1998, 2006, 2010, 2014, 2017) using current data for 2022-23 law school applicants, finding that economics majors remain at or near the top of all applicants. Results of the previous studies showing economics majors scored well on the LSAT® have often been posted on…

We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…

Quantile regression (QR) provides an alternative to linear regression (LR) that allows for the estimation of relationships across the distribution of an outcome. However, as highlighted in recent research on the motherhood penalty across the wage distribution, different procedures for conditional and unconditional quantile regression (CQR, UQR)…

The present study investigates the influence of multidimensionality on linking and equating in a unidimensional IRT. Two hypothetical multidimensional scenarios are explored under a nonequivalent group common-item equating design. The first scenario examines test forms designed to measure multiple constructs, while the second scenario examines a…

This study examined the association between principal leadership styles and academic achievement in gifted education schools. There is scarce literature specific to academic achievement in gifted education schools. The primary research question addressed in the study was, "does an association exist between leadership style and academic…