Rapid approaches are essential when resources are limited and when findings are required in real-time to inform decisions. Limitations exist in their design and implementation, which can lead to a reduced level of trust in findings. This review sought to map the methods used across rapid evaluations and research to facilitate timeliness and…

Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…

This paper looks at the tension between the desire to claim predictive ability for Agent-Based Models (ABMs) and its extreme difficulty for social and ecological systems, suggesting that this is the main cause for the continuance of a rhetoric of prediction that is at odds with what is achievable. Following others, it recommends that it is better…

Researchers continue to choose PCA in scale development and adaptation studies because it is the default setting and overestimates measurement quality. When PCA is utilized in investigations, the explained variance and factor loadings can be exaggerated. PCA, in contrast to the models given in the literature, should be investigated in…

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…

Along with discussing bibliometric analyses' limitations and potential biases, this paper addresses the growing need for comprehensive guidelines in evaluating bibliometric research by providing systematic frameworks for both peer reviewers and readers. While numerous publications provide guidance on implementing bibliometric methods, there is a…

Evaluation in Design education is subjective and generally depends upon the pedagogues' personal perspective. Conducting subjective evaluation on a large scale is associated with multiple challenges; therefore, digitized evaluation is integral to maintain consistency in the evaluation process. This systematic literature review utilized SCOPUS, Web…

Evaluators widely agree that the involvement of key actors is a central aspect of quality practice. However, a scoping review of to what extent and how youth are included has not been explored. This is an important omission because many evaluations are done on programs that directly serve youth. We examined 159 evaluation reports in a publicly…

Realist evaluations, a form of theory-driven evaluation, aim to explain how, why, for whom, and to what extent a complex health intervention works (or does not work). Realist evaluations are often "methods-flexible" and encourage the appropriate use of a range of evidence types that provide explanatory value. However, there is a lack of…

As colleges and universities seek to invigorate ethics education, they need methods to identify where and describe how ethics is already present across their curricula. Meeting this need is complicated by the fact that much ethics education occurs in courses not explicitly focused on ethics or morality. In this paper, we review recent…

Participatory research can be promoted by scientific intermediary units, such as Science Shops. The overarching goal of these initiatives is thereby to foster a process of co-creation of the research questions to address societal needs that are relevant to scientific research and society at large. The InSPIRES project was a Horizon Europe…

This reflective piece tells the story of how I started out doing Conversation Analysis (CA) and have been transitioning into doing mixed methods for some years now. My basic argument is that language learning talk is too complex a phenomenon to analyse using a single methodology. Specifically, it is extremely difficult to isolate from the…

In cognitive neurosciences, fundamental principles of mental processes and functional brain organization have been established with highly controlled tasks and testing environments. Recent technical advances allowed the investigation of these functions and their brain mechanisms in naturalistic settings. The diversity in those approaches have been…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

This paper describes, and lays out an argument for, the use of a procedure to help groups of reviewers to judge the quality of prior research reports. It argues why such a procedure is needed, and how other existing approaches are only relevant to some kinds of research, meaning that a review or synthesis cannot successfully combine quality…