Personality‐descriptive nouns

Raad, Boele De; Hoskens, Machteld

doi:10.1002/per.2410040206

Cited by 52 publications

(47 citation statements)

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“…The latter two types now need to be given the same intense research attention that so far has been limited to the adjective class (e.g. De Raad and Hoskens, 1990). On the basis of our analysis of the German type and attribute nouns, we have formulated a number of hypotheses about the function and uses of these descriptors, hypotheses that now should be studied more systematically.…”

Section: Discussionmentioning

confidence: 99%

“…In the two major compilations of personality descriptors, Allport and Odbert (1936) and Norman (1967) generally preferred adjectives and included nouns only when there was no corresponding adjectival form in the dictionary. The only extensive collections of nouns have been constructed by Goldberg (1981Goldberg ( , 1982; but see also De Raad and Hoskens, 1990) who informally collected about 2,000 English personality nouns, such as bloodsucker, nitwit, and jerk. Each of these nouns refers to a set of persons who have in common either a particular trait or a constellation of traits.…”

Section: Three Classes Of Personality Terms: Adjectives Type Nouns mentioning

confidence: 99%

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Towards a taxonomy of personality descriptors in German: A psycho‐lexical study

1990

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We present two studies aimed at developing a comprehensive taxonomy of German personality-descriptive terms. In the first study, all personality-descriptive adjectives (e.g. cynical), type nouns (e.g. cynic), and attribute nouns (e.g. cynicism) were extracted from a German dictionary. We found that almost halfof all German adjectives were potentially personality-relevant, as contrasted with only 8% of the nouns. Moreover, there were more attribute nouns than type nouns, the latter appearing more slangy, metaphorical, concrete, and rich in imagery (e.g. Big-mouth, Wooden-head

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Section: Discussionmentioning

confidence: 99%

Section: Three Classes Of Personality Terms: Adjectives Type Nouns mentioning

confidence: 99%

Towards a taxonomy of personality descriptors in German: A psycho‐lexical study

1990

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“…(De Raad & Mlacic, 2015, p. 8). Later, the same type of identification sentence was used for the development of a taxonomy of verbs (De Raad, Mulder, Kloosterman, & Hofstee, 1988), while taxonomy of nouns followed criteria relating to the noun's ability to describe, typify, or characterize a person (De Raad & Hoskens, 1990).…”

Section: The Return To Europe: Dutch and German Taxonomic Projectsmentioning

confidence: 99%

The Personality Lexicon in Brazilian Portuguese: Studies with Natural Language

Peres¹

2018

Preprint

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iv Procura da poesia (...) Chega mais perto e contempla as palavras.Cada uma tem mil faces secretas sob a face neutra e te pergunta, sem interesse pela resposta, pobre ou terrível, que lhe deres:Trouxeste a chave? (...) Carlos Drummond de Andrade in A Rosa do Povo (1945) From March 1979Tired of all who come with words, words but no language I went to the snow-covered island.The wild does not have words.The unwritten pages spread out on all sides! I come upon the tracks of roe deer in the snow.Language but no words. Tomas Tranströmer in The Wild Market Square (1983, trad. Robin Fulton) v DedicatoryThis dissertation is dedicated to Professor Jacob Laros and to Professor Luiz Pasquali, who advised me during my postgraduate studies with inspiring wisdom, not only embracing my projects, but also kindly respecting my ideas and decisions, and patiently guiding me through my doubts and after my stumbles. It is an honor to be an apprentice and a friend of such masters.vi Agradecimentos (Acknowledgements)Um doutoramento não é resultado apenas da dedicação individual do estudante. Nesse sentido, faço os seguintes agradecimentos. À Renata e ao Bartholomeu, pelo amor e companheirismo. Aos meus pais, que sempre se esforçaram para oferecer aos filhos e a outros familiares oportunidades para o desenvolvimento educacional e profissional. Aos meus irmãos, cunhados e ao restante da minha grande e querida família mineira. À Thaís, Dudu e Raphael, a quem espero inspirar em seguir a carreira acadêmica. Aos meus professores da Educação Básica, que me ensinaram a aprender e inspiraram minha predileção pela ciência, artes e filosofia. Gostaria de lembrar especialmente das professoras Laudiene, Eliana, Magda Table 3. The Six-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ……………………………………………………………..……….… 127 Table 4. The Seven-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ……………………………………………………….… 128 Table 5. The Fourteen-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ………………………………………………………… 130 Table 6. The Fifteen-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models …………………………………………………………. 132 Table 7. User frequency or the number of users that used the term, overall term frequency in the corpus, inverse document frequency, mean, minimum, maximum, and range …………………………..… 147xii General AbstractThis dissertation consists of three studies concerning the lexical approach of research in the field of personality, with a focus on Brazilian culture and natural language. The first study is of a theoretical nature and explores some of the criticisms regarding the lexical approach to personality research with its origin in the psychological study of natural language and crosscultural psychology, as well as methodolo...

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“…Nouns can clearly denote roles or types of people, and from them, we may be able to infer more about personality than from other parts of speech (de Raad & Hoskens, 1990;Saucier, 2003). Even verbs and adverbs convey dispositional meaning (de Raad & Hofstee, 1993;de Raad, Mulder, Kloosterman, & Hofstee, 1988;Semin & Marsman, 1994).…”

Section: ) To What Degree Do the Adjective-based Self-concept Dimensmentioning

confidence: 99%

Revealing dimensions of thinking in open-ended self-descriptions: An automated meaning extraction method for natural language

Chung

Pennebaker

2008

Journal of Research in Personality

197

178

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A new method for extracting common themes from written text is introduced and applied to 1,165 open-ended self-descriptive narratives. Drawing on a lexical approach to personality, the most commonly-used adjectives within narratives written by college students were identified using computerized text analytic tools. A factor analysis on the use of these adjectives in the selfdescriptions produced a 7-factor solution consisting of psychologically meaningful dimensions. Some dimensions were unipolar (e.g., Negativity factor, wherein most loaded items were negatively valenced adjectives); others were dimensional in that semantically opposite words clustered together (e.g., Sociability factor, wherein terms such as shy, outgoing, reserved, and loud all loaded in the same direction). The factors exhibited modest reliability across different types of writ writing samples and were correlated with self-reports and behaviors consistent with the dimensions. Similar analyses with additional content words (adjectives, adverbs, nouns, and verbs) yielded additional psychological dimensions associated with physical appearance, school, relationships, etc. in which people contextualize their self-concepts. The results suggest that the meaning extraction method is a promising strategy that determines the dimensions along which people think about themselves. Keywords LIWC; Meaning Extraction Method; natural language; self-descriptionsIn a job or clinical interview, meeting an office mate for the first time, or talking to someone at a party, we usually ask others to tell us about themselves. Directly or indirectly, we elicit people's descriptions of themselves to construct a coherent sense of them. With the exception of a small group of social and personality psychologists, most people consider free descriptions as the currency of everyday life. From the media describing politicians and celebrities, reference letters, or through casual observation and gossip, much of what we think and know about others is shaped by everyday descriptions of them.Although free descriptions are the natural form of appraising what people are like, most formal personality assessment methods use itemized questionnaires. With statistical methods, questionnaires make it easy to summarize people's personality trait levels, to make comparisons across respondents, and to generalize across groups. With a common vocabulary of personality factors, it is easy for researchers to communicate with one another about the major dimensions of personality that are associated with a variety of behaviors. A recurring

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Personality‐descriptive nouns

Cited by 52 publications

References 11 publications

Towards a taxonomy of personality descriptors in German: A psycho‐lexical study

Towards a taxonomy of personality descriptors in German: A psycho‐lexical study

The Personality Lexicon in Brazilian Portuguese: Studies with Natural Language

Revealing dimensions of thinking in open-ended self-descriptions: An automated meaning extraction method for natural language

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