Item Response Theory Analysis of the Big Five Questionnaire for Children–Short Form (BFC-SF): A Self-Report Measure of Personality in Children Aged 11–12 Years

Bore, Miles; Laurens, Kristin R.; Hobbs, Megan J.; Green, Melissa; Tzoumakis, Stacy; Harris, Felicity; Carr, Vaughan J.

doi:10.1521/pedi_2018_32_380

Cited by 11 publications

(11 citation statements)

References 45 publications

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“…Since polychoric matrices showed a better fit in their models, it would be more appropriate to use these rather than Pearson's in studies that incorporate factor analysis techniques (Domínguez-Lara, 2014;Lorenzo-Seva & Ferrando, 2020). The Big Five model has shown that its factors are independent of culture and remain stable across the life cycle (Bore et al, 2020;Kim & Kim, 2012;Kuzmina et al, 2018;Lemos, 2006;Markos & Kokkinos, 2017). As a common framework in the study of personality, it would encourage the incorporation of psychodiagnostics, the establishment of comparisons between different research projects, and the study of the evolution of the human personality from childhood up to adulthood, which would allow a better understanding of evolutionary development and ultimately human nature (Lemos, 2006).…”

Section: Discussionmentioning

confidence: 99%

“…Since the existing instruments have too many questions for the under-12 population (Beatton & Frijters, 2012), short versions of the BFQ-C that keep the five-factor structure of the construct and maintain adequate reliability indicators have also been developed. Short versions of the BFQ-C have been validated in Italy (Mamazza, 2012), Russia (Kuzmina et al, 2018), Australia (Bore et al, 2020), Greece (Markos & Kokkinos, 2017) and Korea (Kim & Kim, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Validation of the Big Five Questionnaire (BFQ-C), short version, in Colombian adolescents

2022

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Introduction. The most widely accepted theoretical and measurement model in personality study is the Big Five Personality Test, designed to measure five traits: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. One of the most commonly used instruments for evaluating personality in children and adolescents is the BFQ-C. However, its applicability may be limited by its length. The short version of the test has shown stability across different cultures but there is no empirical evidence on its psychometric properties to enable it to be used in the Latin American context. Objective. This study seeks to validate the short version of the Big Five Questionnaire for Children (BFQ-C) in the Colombian population. Method. The questionnaire was administered to 844 adolescents (55% boys and 45% girls) aged between 11 and 16 (M = 13.55 and SD = 2.30). Seven possible models were obtained from a series of exploratory and confirmatory analyses to explain the factorial structure of the test, which were compared with each other to find the model with the best statistical fit. Results. The model with the best absolute fit coincided with the five-factor proposal of the scale, for which empirical evidence is provided for the universality of the Big Five model. The factors showed adequate levels of reliability. Discussion and conclusion. The short version of the BFQ-C has good psychometric properties in adolescents and constitutes a useful instrument for measuring personality in the Latin American context.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Validation of the Big Five Questionnaire (BFQ-C), short version, in Colombian adolescents

2022

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“…Researchers have widely adopted the Big Five personality theory to express the different personality facets—openness, conscientiousness, neuroticism, extraversion, and pleasantness [ 18 ]. In existing studies, personality has been proven to be related to employees’ safety behavior and safety-related decision-making.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

“…According to the discussion in Section 2.2 and Section 2.3 , we hypothesize that risk tolerance and personality cannot only directly but also indirectly affect safety attention by “bridging” emotional valence and arousal. On one hand, existing studies have shown that risk tolerance and personality may significantly affect emotional valence and arousal [ 24 , 25 , 26 , 27 , 28 , 29 ]; on the other hand, emotional valence and arousal may also affect safety attention [ 18 , 19 , 20 , 21 , 22 , 23 ]. Accordingly, we propose the following hypotheses:…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Re-Thinking the Mediating Role of Emotional Valence and Arousal between Personal Factors and Occupational Safety Attention Levels

Wang

2021

IJERPH

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Emotions strongly affect occupational safety attention and public health; however, the underlying mechanisms remain unknown. We investigated the mediation mechanisms of emotional valence and arousal on safety attention using real time data. In all, 70 Chinese workers performed 8400 trials of hazard recognition tasks according to a pre-designed experiment. Their emotional and safety attention levels were recorded based on their facial expressions and eye movements, and the mediating mechanics of emotional valence and arousal were examined through a hierarchical regression. The study results show that: (1) emotional valence and arousal significantly and positively affect safety attention; (2) risk tolerance and personality significantly affect emotional valence and arousal but do not significantly affect safety attention; and (3) emotional valence and arousal significantly mediate safety attention levels and personal factors. From a theoretical viewpoint, this study corroborates the mediating role of emotion on occupational safety attention and personal factors by highlighting valence and arousal. Practically, managers can develop more specific training methods tailored to the results that pertain to workers’ higher emotional resilience for better occupational safety performance and health.

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“…The first step in our persona development methodology requires the development of essential survey questions that can help us to better understand a person's psychological profile from the response made. For this we utilised the OCEAN model, based on 25 personality questions already used in [15], 22 questions that showed purchase behaviour (taken from company survey), 5 value added features (taken from company survey which captured family related information and favorite subjects,hobbies) and what city and country the respondent was from, using digital survey technology [16]. We then collected data from 17 different countries (63969 data points) and tested the reliability of respondent responses for the OCEAN model questions using the psychometric based standard reliability technique known as Cronbach's alpha testing.…”

Section: Introductionmentioning

confidence: 99%

Building Actionable Personas Using Machine Learning Techniques

Farrukh

Wainwright

Crockett

et al. 2022

2022 IEEE Symposium Series on Computational Intelligence (SSCI)

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Personas are quantifiable and describable ways of grouping people based on their behaviours. They are valuable to businesses as it enables them to better understand their customer base. The creation of personas from survey data requires establishing the client requirements, building a quantifiable personality scale, developing personality questions for a survey, and human subjective analysis. In this work, we have utilised clustering to automate the persona development process.We have developed a real-world survey for children (from 17 countries) which included 25 personality-based questions (based on the OCEAN model), 22 questions that captured purchase behaviour, and other general features from the children's landscape. There were 63,969 completed questionnaires with a high proportion of categorical features, which were preprocessed to allow different segmentation methods to be tested. Preliminary results with simple K-means and a Euclidean distance function demonstrated that this was inappropriate for the survey data set. A novel distance function for K-means clustering has been developed, which can handle a mixture of feature types and to allow the importance of each feature to be varied, using a linearly weighted distance method. The function also incorporates the haversine distance function to provide a distance between two locations, enabling potential cultural differences to be examined.We have also implemented Gaussian Mixture Model on the same feature set to compare the results and see the limitations of Gaussian Models Our novel approach generated clusters based on a combination of features including personality, consumer behaviour and location which has demonstrated key cultural differences across the globe. Results from our novel approach show that location distance is one of the key features when constructing personas as culture (location) has a significant effect on the way children answer survey questions.

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Item Response Theory Analysis of the Big Five Questionnaire for Children–Short Form (BFC-SF): A Self-Report Measure of Personality in Children Aged 11–12 Years

Cited by 11 publications

References 45 publications

Validation of the Big Five Questionnaire (BFQ-C), short version, in Colombian adolescents

Validation of the Big Five Questionnaire (BFQ-C), short version, in Colombian adolescents

Re-Thinking the Mediating Role of Emotional Valence and Arousal between Personal Factors and Occupational Safety Attention Levels

Building Actionable Personas Using Machine Learning Techniques

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