Dataset for: Perceived Weirdness: A Multitrait-Multisource Study of Self and Other Normality Evaluations

DOI

Research in personality and organizational psychology has begun to investigate a novel evaluative trait known as perceived normality, defined as an overall perception that one is normal (vs. strange or weird). The current work evaluates a brief measure of this trait (i.e., a “weirdness scale”), extending past work by assessing both self-reports and peer reports of these normality evaluations. Results confirm the measurement equivalence of self- and peer-reports of perceived weirdness, and discriminant validity of self- and peer-reports of perceived weirdness from Big Five traits. A multitrait-multisource analysis further reveals that trait loadings are larger than self-report and peer-report method loadings for the measure of perceived weirdness. Implications for measurement of self-perceptions and social perceptions of weirdness/normality are discussed.

Dataset for: Kim, J.-Y., Newman, D. A., Harms, P. D., & Wood, D. (2023). Perceived Weirdness: A Multitrait-Multisource Study of Self and Other Normality Evaluations. Personality Science, 4, 1-23. https://doi.org/10.5964/ps.7399

Identifier
DOI https://doi.org/10.23668/psycharchives.5085
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.5085
Provenance
Creator Kim, Jun-Yeob
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID); Newman, Daniel A.; Harms, P. D.; Wood, Dustin
Publication Year 2021
Rights CC-BY 4.0; openAccess; Creative Commons Attribution 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences