Personality profiles: Using latent profile analysis to model personality typologies

Ferguson, Sarah L.; Hull, Darrell M.

doi:10.1016/j.paid.2017.10.029

Cited by 54 publications

(52 citation statements)

References 26 publications

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“…In addition to statistical comparisons of alternative latent profile configurations, content‐wise examination of each latent profile configuration guided our final choice. In line with personality (profile) descriptions as found in other studies using latent profile analysis (see Ferguson & Hull, ), each individual (employee) may be assigned to the most likely latent (personality) profile.…”

Section: Methodsmentioning

confidence: 61%

“…This so‐called “person‐centred” approach better reflects the integrated character of relevant human behaviour in a systematic way, in comparison with traits (see also Alessandri et al, ). Recently, Ferguson and Hull () stressed the importance of taking the, in essence, hierarchical nature of the personality construct into account and underlined the relevance of Latent Profile Analysis (LPA) to derive personality profiles.…”

Section: Introductionmentioning

confidence: 99%

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Personality Traits and Types in Relation to Career Success: An Empirical Comparison Using the Big Five

2018

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The purpose of this study is twofold: First, it discusses and derives personality types based on Big Five traits. Second, it compares their associations with career success. After deriving both a statistical and content‐wise meaningful two‐type solution referring to a resilient and a distressed profile, the explanatory value for both objective (i.e., promotions and income) and subjective career success (i.e., self‐reported career success and career satisfaction) is tested for both traits and types. For objective career success, only traits appeared to be relevant predictors. For subjective career success, types appeared to have explanatory value as well, next to traits. This study concludes with a short discussion of its implications and possible further research avenues.

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Section: Methodsmentioning

confidence: 61%

Section: Introductionmentioning

confidence: 99%

Personality Traits and Types in Relation to Career Success: An Empirical Comparison Using the Big Five

2018

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“…The variable-centered approach obfuscates that single personality traits do not exist in isolation. Personality traits are in fact approximations of personality which itself is a hierarchical system of subcomponents that interact within persons (Ferguson and Hull 2018;McCrae and Costa 1987). Hence, empirically, personality traits covary and account for shared variance therewith concealing mutual influences while interactions of five variables are difficult to model and interpret (Merz and Roesch 2011).…”

Section: Personalitymentioning

confidence: 99%

“…Hence, empirically, personality traits covary and account for shared variance therewith concealing mutual influences while interactions of five variables are difficult to model and interpret (Merz and Roesch 2011). Therefore, we use a conceptualization of typologies of personality traits which represent combinations of various personality traits within a person (person-centered approach), thereby approximating such interactions (Ferguson and Hull 2018;Lanza et al 2010; Merz and Roesch 2011). The most common personality typologies distinguish "Resilient/Well-adjusted", "Undercontrolled", "Reserved" and "Overcontrolled/Excitable" types (Block and Block 1980;Ferguson and Hull 2018).…”

Section: Personalitymentioning

confidence: 99%

“…Therefore, we use a conceptualization of typologies of personality traits which represent combinations of various personality traits within a person (person-centered approach), thereby approximating such interactions (Ferguson and Hull 2018;Lanza et al 2010; Merz and Roesch 2011). The most common personality typologies distinguish "Resilient/Well-adjusted", "Undercontrolled", "Reserved" and "Overcontrolled/Excitable" types (Block and Block 1980;Ferguson and Hull 2018). Resilient/Well-adjusted individuals score positive (socially desirable) on all five personality traits (Asendorpf et al 2001;Ferguson and Hull 2018;Robins et al 1996).…”

Section: Personalitymentioning

confidence: 99%

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From school to where? How social class, skills, aspirations, and resilience explain unsuccessful school-to-work transitions

Alexander¹,

Mark²,

Rolf³

2020

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People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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The role of dark pattern stimuli and personality in online impulse shopping: An application of S‐O‐R theory

Abbott

Sin²,

Pedersen³

et al. 2023

J of Consumer Behaviour

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Online impulse shopping is a growing industry. This paper uses the Stimulus‐Organism‐Response framework to model online impulse purchase behavior using a novel combination of stimuli and organism characteristics. The stimuli: social proof, limited‐quantity scarcity, and high‐demand, are three commonly used website features known as dark patterns. The organism characteristic personality is measured by the big 5 personality traits and persona generated through latent profile analysis. Using the machine learning algorithm XGBoost, impulse purchasing response was predicted separately for each dark pattern stimuli. Results show personality characteristics are important features when predicting consumer impulse purchasing in response to dark pattern messages. Moreover, the personality traits (and personas) most predictive of impulse shopping behavior varied by type of dark pattern. Findings suggest personality influences susceptibility to different dark patterns, indicating a need for tailored interventions to mitigate individual consumer vulnerabilities to impulse shopping.

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Personality profiles: Using latent profile analysis to model personality typologies

Cited by 54 publications

References 26 publications

Personality Traits and Types in Relation to Career Success: An Empirical Comparison Using the Big Five

Personality Traits and Types in Relation to Career Success: An Empirical Comparison Using the Big Five

From school to where? How social class, skills, aspirations, and resilience explain unsuccessful school-to-work transitions

The role of dark pattern stimuli and personality in online impulse shopping: An application of S‐O‐R theory

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