The (Random Intercept) Cross-Lagged Panel Model ((RI-)CLPM) is increasingly used in psychology and related fields to assess the longitudinal relationship of two or more variables on each other. Researchers are interested in the question which of the lagged effects is causally dominant receives considerable attention. However, currently used…

Cognitive load theory has been in development since the 1980s. Much of the impetus for that development has come from firstly, replication failures using randomised controlled trials and secondly, from the incorporation of other theories into cognitive load theory. Both have led to theory expansion. The immediate cause of the so-called…

This best-selling text explains the basic principles of psychological assessment and measurement and guides students and practitioners in the appropriate selection, interpretation, and communication of test results. Danica Hays introduces more than 150 assessment instruments used to evaluate mental health, intelligence, career development,…

Considerations related to generalization of a study's findings are often interconnected to researchers' judgements regarding the 'quality' of the methodology and methodological pluralism. Too often, researchers consider generalization as only possible with respect to quantitative studies with large numbers of randomly selected participants…

Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…

The second version of Kaiser's Measure of Sampling Adequacy (MSA[subscript 2]) has been widely applied to assess the factorability of data in psychological research. The MSA[subscript 2] is developed in the population and little is known about its behavior in finite samples. If estimated MSA[subscript 2]s are biased due to sampling errors,…

Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

This study examines the global issue of adolescent well-being by conducting a bibliometric analysis of 1,162 publications from the Scopus database, covering the period from 2003 to March 2023. The research aims to identify the most influential contributors, including countries, authors, journals, and key topics, within the field of adolescent…

Background: Limited research exists on the prevalence of undergraduate research participant pools (URPs) in psychology departments or guidelines surrounding their use. Objective: The aim of the current study was to replicate older studies on the prevalence of URPs in the United States and the procedures and guidelines related to those…

Objective: The long-term consequences of the COVID-19 pandemic on college students' mental health remains unknown. The current study explored self-reported Obsessive-Compulsive symptomatology among college student cohorts from pre-, peak-, and later-pandemic time points. Participants: Undergraduate college students (N = 524) who volunteered for…

How do researchers of cognitive development work to make sure that our field evolves so that our contribution to humanity is emancipatory? We can take inspiration from researchers near and far. Inspiration may be found in other areas of psychological research (social, cultural, etc.) and other social sciences (public health, sociology, etc.).…

To enable optimal decision-making based on the best evidence available, open syntheses are called for. To make data accessible and comprehensible even for decision-makers without proficient knowledge in meta-analysis, a graphical user interface (GUI) provides flexible data visualizations including interpretation aids. Moreover, due to a growing…

Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor…

In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…

Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…