Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality

The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was co...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Wehner, Caroline [verfasserIn] Ziegler, Matthias [verfasserIn] Gödeke, Wiebke [verfasserIn] Lämmle, Lena [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Dark Triad FFM Nomological network Facet level Network analysis

Übergeordnetes Werk:	Enthalten in: Personality and individual differences - Amsterdam [u.a.] : Elsevier Science, 1980, 175
Übergeordnetes Werk:	volume:175

DOI / URN:	10.1016/j.paid.2021.110717

Katalog-ID:	ELV005685958

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520			\|a The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains.
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650		4	\|a FFM
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allfields	10.1016/j.paid.2021.110717 doi (DE-627)ELV005685958 (ELSEVIER)S0191-8869(21)00092-1 DE-627 ger DE-627 rda eng 150 DE-600 Wehner, Caroline verfasserin aut Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains. Dark Triad FFM Nomological network Facet level Network analysis Ziegler, Matthias verfasserin aut Gödeke, Wiebke verfasserin aut Lämmle, Lena verfasserin aut Enthalten in Personality and individual differences Amsterdam [u.a.] : Elsevier Science, 1980 175 Online-Ressource (DE-627)320599000 (DE-600)2019937-5 (DE-576)259485101 1873-3549 nnns volume:175 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 175
spelling	10.1016/j.paid.2021.110717 doi (DE-627)ELV005685958 (ELSEVIER)S0191-8869(21)00092-1 DE-627 ger DE-627 rda eng 150 DE-600 Wehner, Caroline verfasserin aut Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains. Dark Triad FFM Nomological network Facet level Network analysis Ziegler, Matthias verfasserin aut Gödeke, Wiebke verfasserin aut Lämmle, Lena verfasserin aut Enthalten in Personality and individual differences Amsterdam [u.a.] : Elsevier Science, 1980 175 Online-Ressource (DE-627)320599000 (DE-600)2019937-5 (DE-576)259485101 1873-3549 nnns volume:175 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 175
allfields_unstemmed	10.1016/j.paid.2021.110717 doi (DE-627)ELV005685958 (ELSEVIER)S0191-8869(21)00092-1 DE-627 ger DE-627 rda eng 150 DE-600 Wehner, Caroline verfasserin aut Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains. Dark Triad FFM Nomological network Facet level Network analysis Ziegler, Matthias verfasserin aut Gödeke, Wiebke verfasserin aut Lämmle, Lena verfasserin aut Enthalten in Personality and individual differences Amsterdam [u.a.] : Elsevier Science, 1980 175 Online-Ressource (DE-627)320599000 (DE-600)2019937-5 (DE-576)259485101 1873-3549 nnns volume:175 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 175
allfieldsGer	10.1016/j.paid.2021.110717 doi (DE-627)ELV005685958 (ELSEVIER)S0191-8869(21)00092-1 DE-627 ger DE-627 rda eng 150 DE-600 Wehner, Caroline verfasserin aut Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains. Dark Triad FFM Nomological network Facet level Network analysis Ziegler, Matthias verfasserin aut Gödeke, Wiebke verfasserin aut Lämmle, Lena verfasserin aut Enthalten in Personality and individual differences Amsterdam [u.a.] : Elsevier Science, 1980 175 Online-Ressource (DE-627)320599000 (DE-600)2019937-5 (DE-576)259485101 1873-3549 nnns volume:175 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 175
allfieldsSound	10.1016/j.paid.2021.110717 doi (DE-627)ELV005685958 (ELSEVIER)S0191-8869(21)00092-1 DE-627 ger DE-627 rda eng 150 DE-600 Wehner, Caroline verfasserin aut Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains. Dark Triad FFM Nomological network Facet level Network analysis Ziegler, Matthias verfasserin aut Gödeke, Wiebke verfasserin aut Lämmle, Lena verfasserin aut Enthalten in Personality and individual differences Amsterdam [u.a.] : Elsevier Science, 1980 175 Online-Ressource (DE-627)320599000 (DE-600)2019937-5 (DE-576)259485101 1873-3549 nnns volume:175 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 AR 175
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author	Wehner, Caroline
spellingShingle	Wehner, Caroline ddc 150 misc Dark Triad misc FFM misc Nomological network misc Facet level misc Network analysis Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality
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topic_title	150 DE-600 Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality Dark Triad FFM Nomological network Facet level Network analysis
topic	ddc 150 misc Dark Triad misc FFM misc Nomological network misc Facet level misc Network analysis
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title	Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality
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title_full	Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality
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title_sort	further inflaming the discussion or cooling down feelings? a network analysis of the dark triad and the five factor model of personality
title_auth	Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality
abstract	The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains.
abstractGer	The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains.
abstract_unstemmed	The present study aims to shed light onto the nomological network of the Dark Triad (DT) and the Five Factor Model (FFM) by investigating their facet levels using network analysis. Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. The FFM network seems to change only slightly when the DT facets are added and DT facets cluster according to their domains.
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title_short	Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality
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author2	Ziegler, Matthias Gödeke, Wiebke Lämmle, Lena
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doi_str	10.1016/j.paid.2021.110717
up_date	2024-07-06T18:48:49.343Z
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Firstly, the networks of the DT and the FFM facets were analyzed separately and secondly, their combined network was considered in order to observe changes. 491 participants filled out several established measures to assess the constructs at facet level. Each model was analyzed regarding node strength, closeness and betweenness. Central-stability coefficients and bootstrapped difference tests were performed on these centrality indices. Our main findings indicate that interpersonal manipulation (psychopathy) is central in the DT network, while erratic lifestyle and callous affect (both psychopathy) are the most important DT facets in a combined network with FFM facets. 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Further inflaming the discussion or cooling down feelings? A network analysis of the Dark Triad and the Five Factor Model of personality

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