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Jan Lecouturier; Ivo Vlaev; Paul Chadwick; Angel M. Chater; Michael P. Kelly; Louis Goffe; Carly Meyer; Mei Yee Tang; Vivi Antonopoulou; Fiona Graham; Falko F. Sniehotta – Evidence & Policy: A Journal of Research, Debate and Practice, 2024
Background: There has been a rapid increase in the number of, and demand for, organisations offering behavioural science advice to government over the last ten years. Yet we know little of the state of science and the experiences of these evidence providers. Aims and objectives: To identify current practice in this emerging field and the factors…
Descriptors: Behavioral Sciences, Behavioral Science Research, Public Policy, Trend Analysis
Gerrit Bauer; Nate Breznau; Johanna Gereke; Jan H. Höffler; Nicole Janz; Rima-Maria Rahal; Joachim K. Rennstich; Hannah Soiné – Teaching of Psychology, 2025
Introduction: The replication crisis in the behavioral and social sciences spawned a credibility revolution, calling for new open science research practices that ensure greater transparency, including preregistrations, open data and code, and open access. Statement of the Problem: Replications of published research are an important element in this…
Descriptors: Teaching Methods, Replication (Evaluation), Behavioral Sciences, Social Sciences
Peterson, Elizabeth Sarah – ProQuest LLC, 2023
Moving Beyond the Ordinal Methodological Controversy: A Systematic Review (Manuscript 1): Ordinal outcome data is a common byproduct of education research. Yet more than seventy-five years after the development of Stevens' original measurement framework, the permissibility of select analytic techniques to ordinal outcome data remains a topic of…
Descriptors: Data, Educational Research, Statistical Analysis, Social Sciences
Yannick Rothacher; Carolin Strobl – Journal of Educational and Behavioral Statistics, 2024
Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…
Descriptors: Predictor Variables, Selection Criteria, Behavioral Sciences, Reliability
G. S., Aiswarya; Ponniah, R. Joseph – Journal of Psycholinguistic Research, 2023
Research regarding dysgraphia, an impairment in writing, is attaining more attention in recent times. The existing studies on dysgraphia draw insights from cognitive, behavioural, neurological, and genetic fields of knowledge. However, these multiple studies on dysgraphia fail to illustrate how these cognitive, behavioural, neurological, and…
Descriptors: Learning Disabilities, Writing Difficulties, Cognitive Science, Cognitive Processes
Sean Woodland; Matthew Kahler; John Blue Star; Brandon Fielding – Child Care in Practice, 2024
We have observed that as the theoretical landscape in behavioral science continues to proliferate and diversify, it is not uncommon that distance between subspecialties emerge, artificially accentuating differences between camps. This may occur at the risk of losing sight of the common ground, and worsening communication between subspecialties. In…
Descriptors: Behavioral Sciences, Interdisciplinary Approach, Communication Strategies, Outdoor Education
Viorica Lazin – ProQuest LLC, 2024
This study examined incivility in virtual classrooms among graduate students in behavioral sciences, focusing on the challenges of maintaining respectful online environments. The research question addressed how online faculty identify and manage incivilities in graduate programs in behavioral health science. The theoretical framework integrated…
Descriptors: Virtual Classrooms, Graduate School Faculty, Web Based Instruction, Behavioral Sciences
Chi Kit Jacky Ng; Lok Yin Joyce Kwan; Wai Chan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the past decade, moderated mediation analysis has been extensively and increasingly employed in social and behavioral sciences. With its widespread use, it is particularly important to ensure the moderated mediation analysis will not bring spurious results. Spurious effects have been studied in both mediation and moderation analysis, but this…
Descriptors: Mediation Theory, Social Sciences, Behavioral Sciences, Predictor Variables
Brunila, Kristiina; Nehring, Daniel – Research Papers in Education, 2023
Education governance is shifting towards more individually and personally tailored governance, to pre-empt futures to manage the present. Managing the present requires the fabrication of a specific type of future-oriented learning human kinds. Economically driven imperatives, strengthening transnational stakeholder networks and advances in the…
Descriptors: Governance, Mental Health, Well Being, Behavioral Sciences
Sebastião Quintas; Mathieu Balaguer; Julie Mauclair; Virginie Woisard; Julien Pinquier – International Journal of Language & Communication Disorders, 2024
Background: Perceptual measures such as speech intelligibility are known to be biased, variant and subjective, to which an automatic approach has been seen as a more reliable alternative. On the other hand, automatic approaches tend to lack explainability, an aspect that can prevent the widespread usage of these technologies clinically. Aims: In…
Descriptors: Speech Communication, Cancer, Human Body, Intelligibility
Saarinen, Risto – Gifted Education International, 2023
The article deals with the understanding of religious talent or religious excellence in the Early Modern Period. Three subtypes are identified as follows: (1) Political Heroism and the Sacred, (2) Countercultural Moral Excellence, (3) Extraordinary Emotions. It is further argued that these subtypes are to a great extent replaced with the idea of…
Descriptors: Christianity, Moral Values, Political Attitudes, Religious Factors
Snell, Joel – Education, 2022
The "outside" variables such as life history, sociology, and related can become connected to the "inside" variables particularly in the voluntary and involuntary parts of the brain. This article does not try to create a biological determinism of people especially those who are female and people of color. This author wants to…
Descriptors: Neurosciences, Behavioral Sciences, Gender Discrimination, Racism
Sara A. Hart; Callie Little; Elsje van Bergen – npj Science of Learning, 2021
Across a wide range of studies, researchers often conclude that the home environment and children's outcomes are causally linked. In contrast, behavioral genetic studies show that parents influence their children by providing them with both environment and genes, meaning the environment that parents provide should not be considered in the absence…
Descriptors: Family Environment, Genetics, Methods, Parent Child Relationship
Suyoung Kim; Sooyong Lee; Jiwon Kim; Tiffany A. Whittaker – Structural Equation Modeling: A Multidisciplinary Journal, 2024
This study aims to address a gap in the social and behavioral sciences literature concerning interaction effects between latent factors in multiple-group analysis. By comparing two approaches for estimating latent interactions within multiple-group analysis frameworks using simulation studies and empirical data, we assess their relative merits.…
Descriptors: Social Science Research, Behavioral Sciences, Structural Equation Models, Statistical Analysis
Seifert, Colleen M.; Harrington, Michael; Michal, Audrey L.; Shah, Priti – Cognitive Research: Principles and Implications, 2022
When reasoning about science studies, people often make causal theory errors by inferring or accepting a causal claim based on correlational evidence. While humans naturally think in terms of causal relationships, reasoning about science findings requires understanding how evidence supports--or fails to support--a causal claim. This study…
Descriptors: College Students, Comprehension, Attribution Theory, Logical Thinking