Affect intensity and frequency: their relation to mean level and variability of positive and negative affect and Eysencks personality traits
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Most studies of intra-individual emotion variability fail to consider gender or attempt to statistically control for it.
“most studies of intra-individual emotion variability simply fail to consider gender or attempt to statistically “control” for it20–28.”
From Little evidence for sex or ovarian hormone influences on affective variability (2021) · cites this paper as [22]
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References 52 · Cited by 43
- Authors
- Kardum, I.
- Affiliations
- University of Rijeka (HR)
- Corresponding author
- Kardum, Igor
- ORCID
- Kardum, Igor
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 1998-01
- Volume
- 26
- Issue
- 1
- Pages
- 33-47
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W1993224026
- Cited by
- 43
- References
- 52
- Citations by year
- 2024: 1 · 2021: 2 · 2019: 1 · 2018: 1 · 2017: 4 · 2015: 2 · 2014: 1 · 2013: 2 · 2012: 4
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personality and Individual Differences (publishedVersion)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- affect intensity, positive affect, negative affect, affect variability, Eysenck personality traits, psychoticism, neuroticism, temperament, emotion measurement
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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