As markets are changing in the beef industry, producers are seeking new opportunities for value-added beef production. A select group of beef industry experts and experienced beef producers have come to consensus regarding challenges that producers face in the current marketplace. They identified competencies that would be a positive addition to a…

There is scarce research classifying and investigating the relationship between B2C and C2C value co-creation. Based on the value co-creation theory and literature on brand awareness, this study developed a research framework to demonstrate the relationships between B2C and C2C value co-creation constructs, with the mediation of brand awareness. A…

In this response, we summarize the affirmations, extensions, and critiques of the framework for science communication training that we presented in Lewenstein and Baram-Tsabari (2022. How should we organize science communication trainings to achieve competencies? "International Journal of Science Education -- Part B: Communication and Public…

Purpose: Few resources exist to incorporate principles of modular approach to course design. This research aimed to help instructors by presenting principles for practical and empirically informed modular course design in engineering education. Design/methodology/approach: In the first phase, a systematic literature review was completed to…

Working as a teacher educator today means working under an ever-present regulatory gaze. Accountability mechanisms, including state program approval processes, have been layered resulting in complexity. External assessments have failed to provide the data needed to support continuous improvement. There have been calls for combining external and…

In the article "It's Just an Observation," Robinson and Wainer (Educational Psychology Review 35, Robinson, D., & Wainer, H. (2023). It's just an observation. Educational Psychology Review, 35(83), Published online: 14 August, 2023) lamented that educational psychology is moving toward the dark side of the quality continuum, with…

Cross-loadings are common in multiple-factor confirmatory factor analysis (CFA) but often ignored in measurement invariance testing. This study examined the impact of ignoring cross-loadings on the sensitivity of fit measures (CFI, RMSEA, SRMR, SRMRu, AIC, BIC, SaBIC, LRT) to measurement noninvariance. The manipulated design factors included the…

This note demonstrates that measurement invariance does not guarantee meaningful and valid group comparisons in multiple-population settings. The article follows on a recent critical discussion by Robitzsch and Lüdtke, who argued that measurement invariance was not a pre-requisite for such comparisons. Within the framework of common factor…

A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals…

Background: Peer assessment has played an important role in large-scale online learning, as it helps promote the effectiveness of learners' online learning. However, with the emergence of numerical grades and textual feedback generated by peers, it is necessary to detect the reliability of the large amount of peer assessment data, and then develop…

The Vocational Identity Status Assessment (VISA) is one of the instruments that can be used to assess vocational identity. Conceptually, VISA consists of six sub-dimensions and has been validated using factor analysis. This study provides a factor structure test of the Indonesian version of VISA using the exploratory structural equation modeling…

The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Latent change score (LCS) models are a powerful class of structural equation modeling that allows researchers to work with latent difference scores that minimize measurement error. LCS models define change as a function of prior status, which makes it well-suited for modeling developmental theories or processes. In LCS models, like other latent…

Accurate item parameters and standard errors (SEs) are crucial for many multidimensional item response theory (MIRT) applications. A recent study proposed the Gaussian Variational Expectation Maximization (GVEM) algorithm to improve computational efficiency and estimation accuracy (Cho et al., 2021). However, the SE estimation procedure has yet to…