Indonesian Adaptation and Psychometric Properties Evaluation of the Big Five Personality Inventory:  IPIP-BFM-50

Akhtar, Hanif; Azwar, Saifuddin

doi:10.22146/jpsi.33571

Cited by 16 publications

(21 citation statements)

References 9 publications

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“…In this survey, personality questionnaire based on Big Five was used. From a number of Big Five personality trait questionnaires that are available, the Indonesian IPIP 50 questionnaire [26] was chosen. The difference between IPIP 50 and the other Big Five-based questionnaires is that IPIP 50 does not use the term neuroticism; in its place, it uses the term emotional stability which is the opposite of neuroticism.…”

Section: Methodsmentioning

confidence: 99%

The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction

Paryudi¹,

Ashari²,

Mustofa³

2022

IJACSA

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Currently, the common method to predict personality implicitly (Implicit Personality Elicitation) is Personality Elicitation from Text (PET). PET predicts personality implicitly based on statuses written on social media. The weakness of this method when applied to a recommender system is the requirement to have minimal one social media account. A user without such qualification cannot use such system. To overcome this shortcoming, a new method to predict personality implicitly based on demographic data is proposed. This proposal is based on findings by previous researchers stating that there is a correlation between demographic data and personality trait. To predict personality based on demographic data, a personality model (rule) is needed. This model correlates demographic data and personality. To apply this model to a recommender system, another model is needed, that is preference model which connects personality and preference. These two models are then applied to a personality-based recommender system for fashion. From performance evaluation, the precision of and user satisfaction to the recommendation is 60.19% and 87.50%, respectively. When compared to precision and user satisfaction of PET-based recommender system (which are 82% and 79%, respectively), the precision of demographic data-based recommender system is lower whereas the satisfaction is higher.

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Section: Methodsmentioning

confidence: 99%

The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction

Paryudi¹,

Ashari²,

Mustofa³

2022

IJACSA

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“…Emotional stability was measured using the 10-item Emotional Stability scales taken from IPIP-BFM-50 by Akhtar & Azwar (2019). The items were rated on a 5-point scale ranging from 'strongly disagree' (1) to 'strongly agree' (5) with a Cronbach's alpha value of 0.873, while the corrected item-total correlation was above 0.124.…”

Section: Methodsmentioning

confidence: 99%

Emotional labor as the underlying mechanism in the relationship between emotional stability and affective commitment: A study in the hospitality industry

Subhiksa

Purba

2021

manaj. pemasar. jasa.

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<p>This study aims to examine the mediating effects of emotional labor variables, namely emotive effort and dissonance resulting from deep and surface acting strategies, which are based on the relationship between emotional stability and affective commitment. 249 data were obtained from the hospitality industry in major cities in Indonesia and were analyzed using a mediation technique. The results showed that emotive effort mediated the relationship between emotional stability and affective commitment. Furthermore, it was also shown that emotive dissonance did not mediate the relationship between emotional stability and affective commitment.</p>

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“…The Indonesian version of the BFPTSQ has been validated and reliable for adult respondents (18-50 years old) with a Cronbach alpha value of 0.87 and an Aiken-V index of 0.71-0.98. 23 This study has been approved by the Ethics Commission of the Faculty of Medicine, Universitas Indonesia with the ethical clearance No: KET-286/UN2.F1/ ETIK/PPM.00.02/ 2019. Each participant was given detailed explanation about this research in advance, starting from the title, objectives, procedures, and bene ts of the study.…”

Section: Methodsmentioning

confidence: 99%

Food Cravings And Personality Traits In Pregnant Women: Is There An Association?

Prasmusinto¹,

Ikhsan²,

Setiawan³

et al. 2021

Preprint

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Background: Food craving is a common phenomenon during pregnancy, but explanation on how this behaviour can happen remains unclear. This behaviour may be influenced by personality traits that have been known to linked with obesity and addiction affecting pregnancy outcome. Therefore, we identified the prevalence of food craving and evaluated its relationship with personality traits in pregnant women. Methods: We conducted a cross-sectional survey involving 500 healthy pregnant women in urban area of Jakarta, Indonesia. Food cravings were assessed using a translated and validated Food Craving Inventory of Indonesian version. Personality traits were determined by using a Big Five Personality Trait Short Questionnaire that has been translated and validated for Indonesians. Association of personality traits and food cravings were analysed by binary logistic regression.Results: The mean age of pregnant women was 28.3 + 5.3 years. Food craving prevalence in in this population was 63.8%. The most common personality trait in this study was conscientiousness (65.5%). Neuroticism trait was significantly associated with food cravings with OR 9.146 [95% CI: 2.76-30.4; p-value <0.05]. Conclusion: Large proportion of Indonesian pregnant women had food craving living in urban area of Jakarta. A high neuroticism trait has a strong association with food cravings during pregnancy that indicates potential influence of personality traits to this problem. If personality traits influence the food choice in pregnant women, it may subsequently influence nutritional intake of the pregnant women and it may affect pregnancy outcome.

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Indonesian Adaptation and Psychometric Properties Evaluation of the Big Five Personality Inventory: IPIP-BFM-50

Cited by 16 publications

References 9 publications

The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction

The Performance of Personality-based Recommender System for Fashion with Demographic Data-based Personality Prediction

Emotional labor as the underlying mechanism in the relationship between emotional stability and affective commitment: A study in the hospitality industry

Food Cravings And Personality Traits In Pregnant Women: Is There An Association?

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