Curriculum-based measurements (CBM) are used in schools to screen students for academic difficulties. Oral reading fluency curriculum-based measures (CBM-R) are the most popular, yet several studies have identified predictive bias in CBM-Rs in relation to key variables (e.g., race, sex). Despite a massive increase in the use of these measures as…

This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…

People with intellectual and developmental disabilities (IDD) continue to experience high rates of unemployment. Previous research suggests that including an employment goal in an individual's service plan can be a mechanism toward attaining employment, especially in a community setting. This study contributes to the understanding of the role of…

This study aimed to map and tests the factors that influence online learning success in the COVID-19 era in Islamic Religious Higher Education in the West Papua region. Factors to be analyzed are student characteristics, internal motivation, instructor characteristics, quality of institutions and services, infrastructure and system quality,…

This paper analyzes the impact of grading practices on the gender gap in student achievement. We examine the gender difference in the difference between teacher grading and scores on national exams to test whether there are gender differences associated with different grading systems. We use data on 21 subjects across humanities and sciences for…

The extent of barriers in technology integration that teachers have faced in the teaching-learning process has long been the focus of researchers. The main purpose of the current study is to map the perceived internal and external barriers of teachers on TAM while integrating technology into their classroom. The proposed comprehensive model was…

This study investigated the influence of acquired L1 writing skills on exophonic writings of students (N = 147) from diverse majors, who visited an English writing center for assistance. Affective differences revealed students with L1 writing tutelage (WL1) had lower avoidance behavior and higher extrinsic motivation and writing self-efficacy.…

Exceptional talent includes the ability and willingness to solve varied, complex problems, and having a knowledge structure that facilitates problem solving and creativity. The purpose of this study was to determine changes in students' knowledge structures resulting from fidelity of implementation of Real Engagement in Active Problem Solving…

Childhood and adolescence are critical periods for human development, involving an inherent tension between children's development and autonomy and their safety and well-being. The digital mediation of children's increasingly autonomous participation in the social world has been one of the most heated issues for parents and policy maker, generally…

We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…

Publication bias distorts the available empirical evidence and misinforms policymaking. Evidence of publication bias is mounting in virtually all fields of empirical research. This paper proposes the endogenous kink (EK) meta-regression model as a novel method of publication bias correction. The EK method fits a piecewise linear meta-regression of…

When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allow efficient and accurate estimation of multilevel IRT models, we argue that a two-stage…

This study investigated factors that are associated with the creative motor skills of young children. We recruited through random sampling 233 typically developing children attending preschool or kindergarten in Afyonkarahisar, Turkey. We administered a "General Information Form" to gather the children's demographic characteristics and…

Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…

Parametric methods, such as autoregressive models or latent growth modeling, are usually inflexible to model the dependence and nonlinear effects among the changes of latent traits whenever the time gap is irregular and the recorded time points are individually varying. Often in practice, the growth trend of latent traits is subject to certain…