Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets effectively contain missing values for all participants in those datasets. Furthermore, data pooling typically leads to a mix of continuous and…

Descriptive fit indices that do not require a formal statistical basis and do not specifically depend on a given estimation criterion are useful as auxiliary devices for judging the appropriateness of unrestricted or exploratory factor analytical (UFA) solutions, when the problem is to decide the most appropriate number of common factors. While…

Bayesian methods to infer model dimensionality in factor analysis generally assume a lower triangular structure for the factor loadings matrix. Consequently, the ordering of the outcomes influences the results. Therefore, we propose a method to infer model dimensionality without imposing any prior restriction on the loadings matrix. Our approach…

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…

In adult learning and education the need is defined as the discrepancy between the current stage of development of professional competences, as well as those of general culture, and the desired (possible to be achieved) stage. The need reflects the existence of a problem that requires intervention, a problem that needs to be dealt with, but also a…

Research in human development often relies on composites, that is, composed variables such as indices. Their composite nature renders these variables inaccessible to conventional factor-centric psychometric validation techniques such as confirmatory factor analysis (CFA). In the context of human development research, there is currently no…

Scholars study representative international surveys to understand cross-cultural differences in mentality patterns, which are measured via complex multi-item constructs. Methodologists in this field insist with increasing vigor that detecting "non-invariance" in how a construct's items associate with each other in different national…

The discussion of social responsibility has expanded from ethical conduct of research to include a broader range of topics including participating in the policy-making process, engaging in public discourse related to science, and promoting projects serving societal common goods. Although such an expanded framework on social responsibility is…

Exploratory graph analysis (EGA) is a commonly applied technique intended to help social scientists discover latent variables. Yet, the results can be influenced by the methodological decisions the researcher makes along the way. In this article, we focus on the choice regarding the number of factors to retain: We compare the performance of the…

This note is concerned with the benefits that can result from the use of the maximal reliability and optimal linear combination concepts in educational and psychological research. Within the widely used framework of unidimensional multi-component measuring instruments, it is demonstrated that the linear combination of their components that…

In scientific research on creativity, there has been considerable debate concerning the criteria by which a production can be judged more or less creative, that is, about the definition of "creativity." The most frequent definition -- the "standard" definition -- incorporates the criteria of "novelty" and…

Linear functional relationships are intended to be symmetric and therefore cannot generally be accurately estimated using ordinary least squares regression equations. Orthogonal regression (OR) models allow for errors in both "Y" and "X" and therefore can provide symmetric estimates of these relationships. The most…

This study is a conceptual replication of Teimouri et al.'s (2022) investigation into the validity of the second language (L2) grit scale (the L2-Grit scale). There are several concerns about the generalizability of the findings of Teimouri et al. (2022), especially regarding the discriminant validity of the scale and the relation of L2 grit with…

Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…

This paper reports on the development and validation of the classroom assessment (CA) for self-regulated learning (SRL) Questionnaire (CASRLQ), a questionnaire intended to measure to what extent CA practices are SRL supportive. The original CASRLQ, consisting of 32 items to represent five SRL-supportive CA dimensions, was constructed and…