The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle>
Abstract: The Affective Neuroscience Personality Scales is a self-report measure that assesses neurobiologically defined, primary emotional system activation in a clinically feasible way. The current study introduces the Dutch translation of the Brief Affective Neuroscience Personality Scales (BANPS...
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Format: | Article |
Language: | English |
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Hogrefe Publishing Group
2023-12-01
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Series: | Psychological Test Adaptation and Development |
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Online Access: | https://econtent.hogrefe.com/doi/10.1027/2698-1866/a000035 |
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author | Tim Bastiaens Dirk Smits Antje Beerden Sally Elaine de Beauvesier Watson Laurence Claes |
author_facet | Tim Bastiaens Dirk Smits Antje Beerden Sally Elaine de Beauvesier Watson Laurence Claes |
author_sort | Tim Bastiaens |
collection | DOAJ |
description | Abstract: The Affective Neuroscience Personality Scales is a self-report measure that assesses neurobiologically defined, primary emotional system activation in a clinically feasible way. The current study introduces the Dutch translation of the Brief Affective Neuroscience Personality Scales (BANPS) and investigates its relation with lexical–statistical Five-Factor Model (FFM) personality traits. A Flemish community sample of 339 participants (76.7% female, 23.3% male, 18–65 years) completed the BANPS, of which 255 (73.7% female, 26.3% male) also completed the NEO-PI-3. Confirmatory factor analysis corroborated the BANPS six-factor structure. Alpha coefficients were indicative of adequate subscale internal consistencies. Congruence coefficients with the original factor solution were high. Hierarchical regression analyses related primary emotional systems to lexical–statistical personality traits. The Dutch version of the BANPS appears to be a reliable scale exhibiting meaningful relations to the FFM. |
first_indexed | 2024-04-09T15:40:22Z |
format | Article |
id | doaj.art-f147cd972581464ba4cdcd5c36798a84 |
institution | Directory Open Access Journal |
issn | 2698-1866 |
language | English |
last_indexed | 2025-03-22T06:43:05Z |
publishDate | 2023-12-01 |
publisher | Hogrefe Publishing Group |
record_format | Article |
series | Psychological Test Adaptation and Development |
spelling | doaj.art-f147cd972581464ba4cdcd5c36798a842024-04-24T05:23:16ZengHogrefe Publishing GroupPsychological Test Adaptation and Development2698-18662023-12-0141667710.1027/2698-1866/a000035The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle>Tim Bastiaens0Dirk Smits1Antje BeerdenSally Elaine de Beauvesier WatsonLaurence Claes2University Psychiatric Center, University of Leuven, BelgiumFaculty of Psychology and Educational Sciences, KU Leuven, BelgiumFaculty of Psychology and Educational Sciences, KU Leuven, BelgiumAbstract: The Affective Neuroscience Personality Scales is a self-report measure that assesses neurobiologically defined, primary emotional system activation in a clinically feasible way. The current study introduces the Dutch translation of the Brief Affective Neuroscience Personality Scales (BANPS) and investigates its relation with lexical–statistical Five-Factor Model (FFM) personality traits. A Flemish community sample of 339 participants (76.7% female, 23.3% male, 18–65 years) completed the BANPS, of which 255 (73.7% female, 26.3% male) also completed the NEO-PI-3. Confirmatory factor analysis corroborated the BANPS six-factor structure. Alpha coefficients were indicative of adequate subscale internal consistencies. Congruence coefficients with the original factor solution were high. Hierarchical regression analyses related primary emotional systems to lexical–statistical personality traits. The Dutch version of the BANPS appears to be a reliable scale exhibiting meaningful relations to the FFM.https://econtent.hogrefe.com/doi/10.1027/2698-1866/a000035BANPSaffective neurosciencePankseppneurobiological approachlexical–statistical approach |
spellingShingle | Tim Bastiaens Dirk Smits Antje Beerden Sally Elaine de Beauvesier Watson Laurence Claes The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> Psychological Test Adaptation and Development BANPS affective neuroscience Panksepp neurobiological approach lexical–statistical approach |
title | The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> |
title_full | The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> |
title_fullStr | The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> |
title_full_unstemmed | The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> |
title_short | The Dutch Translation of the Brief Affective Neuroscience Personality Scales <subtitle>Primary Emotional Systems Predict Phenotypical Personality Traits</subtitle> |
title_sort | dutch translation of the brief affective neuroscience personality scales subtitle primary emotional systems predict phenotypical personality traits subtitle |
topic | BANPS affective neuroscience Panksepp neurobiological approach lexical–statistical approach |
url | https://econtent.hogrefe.com/doi/10.1027/2698-1866/a000035 |
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