A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…

How do we teach learners to use effective cognitive strategies for learning? We tested the efficacy of two instructional methods: (1) providing learners with personalized feedback on strategy effectiveness, and (2) scaffolding learners' strategy use. In a series of online experiments with adults in the United States, we tested whether these…

The Rasch model is commonly used to calibrate multiple choice items. However, the sample sizes needed to estimate the Rasch model can be difficult to attain (e.g., consider a small testing company trying to pretest new items). With small sample sizes, auxiliary information besides the item responses may improve estimation of the item parameters.…

Teacher performance evaluations can serve two purposes: summative/accountability and formative/professional development. The current perception in the field is that performance evaluation systems predominantly focus on fulfilling a summative agenda over formative, which blurs the lines between the two purposes of evaluation (Popham, 2013). As a…

Observable data in empirical social and behavioral science studies are often categorical (i.e., binary, ordinal, or nominal). When categorical data are outcomes, they fail to maintain the scale and distributional properties of linear regression and factor analysis. Attempting to estimate model parameters for categorical outcome data with the…

In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…

Instructors often struggle with how to make sense of and handle hurtful student course evaluation comments. These comments can be difficult to resolve when they move from constructive course criticisms to hurtful comments about an instructor's race, gender, appearance, or personality. Relying on the Meaning Making Model (MMM), this study explored…

Students at all grade levels in the United States are experiencing significant difficulties in the area of written expression (Salahu-Din, Persky, & Miller, 2008; U.S. Department of Education, 2012). Although performance feedback is an effective evidence-based intervention for improving the writing fluency of elementary-aged students,…

This study explored the effect of parental emotion socialization behavior (ESB) on depressive symptoms with a focus on the mediating effect of emotion regulation and the moderating role of family cohesion. A total of 236 Chinese adolescents were surveyed and reported on parental ESB, family cohesion, emotion dysregulation, and depressive symptoms.…

School psychologists are well served to stay up to date on trends in special education law, particularly with respect to determinations when school teams' decisions are challenged. This allows them to focus on proactive best practices that foster accurate specific learning disability (SLD) identification and active collaboration with parents. This…

This mixed-methods study aims to investigate the bias in peer feedback. Thirty-two English as an additional language learners gave each other anonymous feedback on their texts. Half of the participants received feedback from their teacher disguised as peer feedback, while the other half received actual peer feedback. Data were collected through…

In this article, the role of digital feedback that was provided in an outdoor mathematics education setting is taken into consideration. Using the app MathCityMap (2020) in the context of a mathematics trail, the influence of positive and/or negative feedback is examined in relation to how it influences the processes of verification and…

Student engagement is a complex measurement that can be viewed through behavioral, emotional, and cognitive constructs. Authentic intellectual engagement requires more than task compliance and requires teachers to make decisions and moves to promote engagement. Pre-service teachers need to have these teacher decisions deconstructed and explicitly…

ChatGPT, an AI-based chatbot with automatic code generation abilities, has shown its promise in improving the quality of programming education by providing learners with opportunities to better understand the principles of programming. However, limited empirical studies have explored the impact of ChatGPT on learners' programming processes. This…

As industry demands students with a greater technical skillset, experiential learning projects are more critical than ever in developing required technical expertise. Employing a value co-creation model at a midwestern university, the authors implemented a project to develop students' digital marketing skills, secure certifications in digital…