Literature DB >> 35962307

An English list of trait words including valence, social desirability, and observability ratings.

Sara Britz1, Lena Rader2, Siegfried Gauggel2, Verena Mainz2.   

Abstract

To enable flexible and controlled research on personality, information processing, and interactions in socio-emotional contexts, the availability of highly controlled stimulus material, especially trait words and related attributes, is indispensable. Existing word databases contain mainly nouns and rating dimensions, and their role in studies within socio-emotional contexts are limited. This study aimed to create an English list of traits (ELoT), a database containing 500 trait adjectives rated by a large sample (n = 822, 57.42% female). The rating categories refer to the perceived valence associated with the traits and their social desirability and observability. Participants of different ages (18 to 65 years of age) and educational levels rated the words in an online survey. Both valence and social desirability ratings showed a bimodal distribution, indicating that most traits were rated either positive (respectively socially desirable) or negative (respectively socially undesirable), with fewer words rated as neutral. For observability, a bell-shaped distribution was found. Results indicated a strong association between valence and social desirability, whereas observability ratings were only moderately associated with the other ratings. Valence and social desirability ratings were not related to participants' age or gender, but observability ratings were different for females and males, and for younger, middle-aged, and older participants. The ELoT is an extensive, freely available database of trait norms. The large sample and the balanced age and gender distributions allow to account for age- and gender-specific effects during stimulus selection.
© 2022. The Author(s).

Entities:  

Keywords:  Database; Observability; Social desirability; Trait adjectives; Valence

Year:  2022        PMID: 35962307     DOI: 10.3758/s13428-022-01921-5

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  36 in total

1.  Recognition memory for nouns as a function of abstractness and frequency.

Authors:  A M GORMAN
Journal:  J Exp Psychol       Date:  1961-01

2.  A new scale of social desirability independent of psychopathology.

Authors:  D P CROWNE; D MARLOWE
Journal:  J Consult Psychol       Date:  1960-08

3.  A hierarchical analysis of 1,710 English personality-descriptive adjectives.

Authors:  Michael C Ashton; Kibeom Lee; Lewis R Goldberg
Journal:  J Pers Soc Psychol       Date:  2004-11

4.  The Aachen List of Trait Words.

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Journal:  J Psycholinguist Res       Date:  2019-10

5.  An English Word Database of EMOtional TErms (EMOTE).

Authors:  Daniel Grühn
Journal:  Psychol Rep       Date:  2016-07-11

6.  Do people know how they behave? Self-reported act frequencies compared with on-line codings by observers.

Authors:  S D Gosling; O P John; K H Craik; R W Robins
Journal:  J Pers Soc Psychol       Date:  1998-05

7.  Likableness ratings of 555 personality-trait words.

Authors:  N H Anderson
Journal:  J Pers Soc Psychol       Date:  1968-07

8.  The positivity effect: a negativity bias in youth fades with age.

Authors:  Laura L Carstensen; Marguerite DeLiema
Journal:  Curr Opin Behav Sci       Date:  2017-08-05

9.  Affective Norms for Italian Words in Older Adults: Age Differences in Ratings of Valence, Arousal and Dominance.

Authors:  Beth Fairfield; Ettore Ambrosini; Nicola Mammarella; Maria Montefinese
Journal:  PLoS One       Date:  2017-01-03       Impact factor: 3.240

10.  How females think about themselves and how they assume that significant others think about them: The influence of perspective taking on self-referential processing.

Authors:  Saskia Doreen Forster; Barbara Drueke; Sara Britz; Siegfried Gauggel; Verena Mainz
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

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