Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…

Background: The dynamic risk outcome scales (DROS) was developed to assess treatment progress of clients with mild intellectual disability or borderline intellectual functioning using dynamic risk factors. We studied the predictive value of the DROS on various classifications and severity levels of recidivism. Method: Data of 250 forensic clients…

In recent times, Educational Data Mining and Learning Analytics have been abundantly used to model decision-making to improve teaching/learning ecosystems. However, the adaptation of student models in different domains/courses needs a balance between the generalization and context specificity to reduce the redundancy in creating domain-specific…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…

The current study investigated the stability of children's risk status across the preschool year. A total of 1,102 preschool children attending Title 1 schools (n = 631) and non-Title 1 schools (n = 471) participated in this study. Using averaged standard scores for two measures of language, print knowledge, and phonological awareness administered…

Objectives: This study examines the effectiveness of interventions in first-year math courses in higher education. Our goal is to investigate the efficacy of a supplemental support requirement on the passing rates of students in their first-year math courses. Method: We gathered and analyzed data on 3,249 students using descriptive statistics and…

Rhythm plays an organisational role in the prosody and phonology of language, and children with literacy difficulties have been found to demonstrate poor rhythmic perception. This study explored whether students' performance on a simple rhythm task at school entry could serve as a predictor of whether they would face difficulties in word reading…

As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of…

Success in residency matching is largely contingent upon standardized exam scores. Identifying predictors of standardized exam performance could promote primary intervention and lead to design insights for preclinical courses. We hypothesized that clinically relevant courses with an emphasis on higher-order cognitive understanding are most…

This paper explores the annotation and classification of students' revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with…

Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…

The purpose of this exploratory study was to examine the extent to which a proposed home language survey in California could better identify possible English learner and multilingual students than the current home language survey. The responses to a proposed and current survey were examined for students registering for kindergarten through grade…

We seek out the good institutional features of the European choice policies that can enhance both equity and efficiency at the system level. For causality analysis we construct the typology of 28 European educational systems by using fuzzy-set analysis. We combine five independent variables to indicate institutional features of school choice…

The current study examined the effects of text-based relational (i.e., cohesion), propositional-specific (i.e., lexical), and syntactic features in a source text on subsequent integration of the source text in spoken responses. It further investigated the effects of word integration on human ratings of speaking performance while taking into…