We present a method for Bayesian structural equation modeling of sample correlation matrices as correlation structures. The method transforms the sample correlation matrix to an unbounded vector using the matrix logarithm function. Bayesian inference about the unbounded vector is performed assuming a multivariate-normal likelihood, with a mean…

We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…

Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…

Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…

In carrying out surveys involving sensitive characteristics, randomized response models have been considered among the best techniques since they provide the maximum privacy protection to the respondents and procure honest responses. Over the years, researchers have carried out studies on the estimation of proportions of the population possessing…

Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…

The axiological research in contemporary Chinese Marxism has always oriented itself towards the practice of reform and opening up, profoundly expressing the practical logic of reform and opening up by way of the theoretical logic of axiology. First, contemporary Chinese axiology focuses on the concept of value and reveals its essence, it explores…

In modern Western education, the visual arts have come to hold a problematic position in the school curriculum. Art is often classified by school leaders, students, parents and even teachers as different from other subjects; sometimes viewed as almost magical, enabling students to explore and develop an innate creativity; sometimes simply…

When students have a strong sense of belonging in their school community, they are more likely to thrive academically. In a study of 55,000 secondary school students across the United States, Challenge Success found further evidence of the bilateral relationship between students' experiences of academic engagement and their sense of belonging,…

Purpose: This paper aims to introduce the extended qualitative content analysis (EQCA) method to integrate data-reducing and data-complicating research steps when conducting qualitative research on the United Nations and other international institutions. Design/methodology/approach: EQCA supplements the method of qualitative content analysis,…

Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…

We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…

The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.

Basic Course Directors (BCDs) are typically expected to assess course learning outcomes, but few formal guidelines and resources exist for new BCDs. As one part of a larger, multi-methodological assessment tool development project, this manuscript maps existing quantitative measures onto the six essential competencies and associated learning…

School ratings are a ubiquitous feature of the U.S. educational system. Alongside state-mandated measures of school performance, non-state organizations such as GreatSchools.org and Niche have created consumer-oriented systems of school ratings that draw on publicly available information about schools. Claiming the purpose of their rating systems…