Multilevel modelling (MLM) is the most frequently used approach for evaluating interventions with clustered data. MLM, however, has some limitations that are associated with numerous obstacles to model estimation and valid inferences. Longitudinal multiple-group (LMG) modelling is a longstanding approach for testing intervention effects using…

With the impacts of COVID-19 epidemic, e-learning has become a popular research issue. Therefore, how to upgrade the interactivity of e-learning, and allow learners to quickly access personalized and popular learning information from huge digital materials, is very important. However, chatbots are mostly used in automation, as well as simple…

In this study, support for teaching data literacy in social studies is provided through the design of a pedagogical support system informed by participatory design sessions with both pre-service and in-service social studies teachers. It provides instruction on teaching and learning data literacy in social studies, examples of standards-based…

Previous research has suggested mixed results concerning gifted populations and achievement goal orientation. This study investigated achievement goal orientation in honors and general education undergraduate students, exploring the factor structure of a commonly used assessment and looking at ability level differences using two types of…

The Digital Learning Resources (DLR) are tools that allow a better understanding of the contents for students, it is, therefore, necessary to have an instrument that allows to assess the perception on this type of learning object and identify the contribution they have in the teaching-learning process in higher education students. Therefore, an…

More community college professors are replacing expensive commercial textbooks with no-cost open educational resources (OER) to help make college more affordable for their students. With students having no financial reason to delay or forgo textbook purchases, many instructors also expect OER adoption will lead to improvements in academic outcomes…

When fitting unidimensional item response theory (IRT) models, the population distribution of the latent trait ([theta]) is often assumed to be normally distributed. However, some psychological theories would suggest a nonnormal [theta]. For example, some clinical traits (e.g., alcoholism, depression) are believed to follow a positively skewed…

This study discusses the mediating role of statistics anxiety and motivation in the relationship comprising academic dishonesty, personality traits, and previous academic achievements in three different learning environments (Face to Face-F2F, Planned Online Environment -- POE, and Emergency Remote Teaching -- ERT). Self-determination theory (SDT)…

Purpose: The purpose of this quantitative, correlational study is to determine the impact of prerequisite course type on student final quantitative research methods final grade after controlling for mathematics anxiety, statistics anxiety, and task presentation/performance. The additional purpose is to determine if there are significant…

We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 592) for whom three informants reported on the youth's psychopathology (e.g., child, parent, teacher). Empirical support for the "p"-factor diminished in multi-informant models compared with…

Although variable-oriented analyses are dominant in developmental psychopathology, researchers have championed a person-oriented approach that focuses on the individual as a totality. This view has methodological implications and various person-oriented methods have been developed to test person-oriented hypotheses. Configural frequency analysis…

Genotype-by-environment interaction (GxE) studies probe heterogeneity in response to risk factors or interventions. Popular methods for estimation of GxE examine multiplicative interactions between individual genetic and environmental measures. However, risk factors and interventions may modulate the total variance of an epidemiological outcome…

The use of statistical investigations as a teaching strategy have been shown to both motivate and engage students. The implementation of a statistical investigation to measure intelligence is described, covering core statistical principles and key elements of research design.

We propose a novel estimator for use in a fuzzy regression discontinuity setting. The estimator can be thought of as extrapolating the traditional fuzzy regression discontinuity estimate or as an observational study that adjusts for endogenous selection into treatment using information at the discontinuity. We show that it can be motivated as…

Inter-rater reliability (IRR), which is a prerequisite of high-quality ratings and assessments, may be affected by contextual variables, such as the rater's or ratee's gender, major, or experience. Identification of such heterogeneity sources in IRR is important for the implementation of policies with the potential to decrease measurement error…