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Your search keyword '"Behavioral Research/standards"' showing total 2 results
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2 results on '"Behavioral Research/standards"'

1. A consensus-based transparency checklist

Author

Brendan Nyhan, Jarret T. Crawford, Christopher D. Chambers, Wiebke Bleidorn, Daniel J. Benjamin, Alice S. Carter, Joseph Cesario, Fiammetta Cosci, Dolores Albarracín, Eric Johnson, Morton Ann Gernsbacher, Marcus R. Munafò, Agneta Fisher, Debra Lieberman, Simine Vazire, Donald P. Green, Jeffrey M. Pollack, George C. Banks, Šimon Kucharský, Derek M. Isaacowitz, Mike Cortese, Alexandra Sarafoglou, Lisa L. Harlow, Randall W. Engle, Fernando Hoces de la Guardia, Ronan M. Conroy, Alexandra M. Freund, Mark Fichman, Janet Kolodner, Daniel J. Simons, Nicole D. Anderson, Kai J. Jonas, Nelson Cowan, Charles Clifton, Zoltan Kekecs, Eveline A. Crone, Robert L. Greene, John Antonakis, Candice C. Morey, D. Stephen Lindsay, Lea Moersdorf, Scott O. Lilienfeld, Balazs Aczel, Gordon D. Logan, Stavroula Kousta, Simon Farrell, Eric-Jan Wagenmakers, Jelte M. Wicherts, John J. Curtin, John P. A. Ioannidis, David R. Shanks, Mitja D. Back, Pasco Fearon, Cristina Cacciari, Christopher J. Sullivan, Wendy Berry Mendes, Benjamin R. Newell, Christopher G. Beevers, Andrew A. Bennett, M. Gareth Gaskell, Roger Giner-Sorolla, Willem E. Frankenhuis, Andrew Gelman, Ty W. Boyer, Hal R. Arkes, Barnabas Szaszi, Harold Pashler, Psychologische Methodenleer (Psychologie, FMG), Psychology Other Research (FMG), Department of Methodology and Statistics, Section Applied Social Psychology, and RS: FPN WSP II

Subjects
Scientific community, Consensus, Social Psychology, Delphi Technique, Computer science, Information Dissemination, Delphi method, MEDLINE, Social Sciences, Experimental and Cognitive Psychology, Guidelines as Topic, Social Development, Behavioral Research/standards, Social sciences, World Wide Web, 03 medical and health sciences, Behavioral Neuroscience, 0302 clinical medicine, Behavioral Research, Humans, Periodicals as Topic, Checklist, Author Correction, 030304 developmental biology, 0303 health sciences, Comment, Transparency (behavior), Public repository, Social Sciences/standards, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, 030217 neurology & neurosurgery
Abstract

Contains fulltext : 214941.pdf (Publisher’s version ) (Open Access) We present a consensus-based checklist to improve and document the transparency of research reports in social and behavioural research. An accompanying online application allows users to complete the form and generate a report that they can submit with their manuscript or post to a public repository. 3 p.

Published
2020
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2. Measuring the Unmeasurable

Author

Bram P.I. Fleuren, Stefan L. K. Gruijters, Section Applied Social Psychology, RS: FPN WSP II, RS: FPN WSP I, Epidemiologie, Section General Psychology, RS-Research Line Clinical psychology (part of IIESB program), Department Clinical Psychology, and RS-Research Line General psychology (part of IIESB program)

Subjects
Sociology and Political Science, Psychometrics, 050109 social psychology, Behavioral neuroscience, LATENT-VARIABLES, FORMATIVE MEASUREMENT, K-FACTOR, Theoretical, Models, Realm, Life History Traits, PERSONALITY, 05 social sciences, TRADE-OFFS, Measurement models, CAUSAL INDICATORS, MULTIDIMENSIONAL CONSTRUCTS, Psychology, Formative models, Cognitive psychology, Psychotherapist, MODELS, BIOLOGY, Behavioural sciences, Latent variable, Life history strategy, Behavioral Research/standards, INDIVIDUAL-DIFFERENCES, 050105 experimental psychology, PROXIMATE, Life history theory, Validity, PSYCHOLOGY, Arts and Humanities (miscellaneous), Humans, 0501 psychology and cognitive sciences, Latent variables, Ecology, Evolution, Behavior and Systematics, Psychometrics/standards, Operationalization, Ultimate-proximate distinction, Conflation, Models, Theoretical, Anthropology, REPRODUCTIVE STRATEGY, EVOLUTIONARY-THEORY, COVITALITY, Social Sciences (miscellaneous)
Abstract

Within evolutionary biology, life-history theory is used to explain cross-species differences in allocation strategies regarding reproduction, maturation, and survival. Behavioral scientists have recently begun to conceptualize such strategies as a within-species individual characteristic that is predictive of behavior. Although life history theory provides an important framework for behavioral scientists, the psychometric approach to life-history strategy measurement-as operationalized by K-factors-involves conceptual entanglements. We argue that current psychometric approaches attempting to identify K-factors are based on an unwarranted conflation of functional descriptions and proximate mechanisms-a conceptual mix-up that may generate unviable hypotheses and invites misinterpretation of empirical findings. The assumptions underlying generic psychometric methodology do not allow measurement of functionally defined variables; rather these methods are confined to Mayr's proximate causal realm. We therefore conclude that K-factor scales lack validity, and that life history strategy cannot be identified with psychometrics as usual. To align theory with methodology, suggestions for alternative methods and new avenues are proposed.

Published
2018
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