Exploring the relationship between personality, decision-making styles, and problematic smartphone use

Urieta, Patricia; Sorrel, Miguel A.; Aluja, Antón; Balada, Ferran; Lacomba, Elena; Garcı́a, Luis F.

doi:10.1007/s12144-022-02731-w

Cited by 6 publications

(7 citation statements)

References 71 publications

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“…Conversely, a negative correlation between the conceptual and behavioral styles and the administration style. Urieta et al [30] explored the relationships between the personalities, DMSs, and problematic smartphone use (PSU) of 1,562 respondents aged 18 to 90 using Personality Test (ZKA-PQ/SF), the GDMS test, and the Mobile Phone Abuse Questionnaire (ATeMo). The results indicated that younger individuals are more likely to experience issues with phone memory.…”

Section: Literature Review: Dms and Correlation Analysismentioning

confidence: 99%

Analyzing correlations between approaches to analyzing decision-making styles

Kadoić,

Gligora Marković,

Jagačić

2024

Croat. oper. res. rev. (Online)

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Descriptive decision-making theories center on the analysis of individuals' decision-making styles (DMSs). Different approaches have been used to study DMSs, but this study focuses on two approaches: those of (1) Scott & Bruce and (2) Rowe. Scott & Bruce categorizes DMSs into rational, intuitive, dependent, avoidant, and spontaneous, whereas Rowe delineates them into analytical, behavioral, conceptual, and directive. Previous studies have independently used these approaches to identify dominant DMSs or to establish correlations between DMSs and various personal characteristics. In this study, both DMS approaches were concurrently used to examine their correlations. The sample comprised 263 students, and correlation analyses were conducted on the entire dataset and its subsets while considering different characteristics (i.e. students' gender and study program, and the data collection timeframe). Multivariate correlation, along with descriptive statistics, was employed to investigate the correlation between the two approaches. The analysis revealed a positive correlation between the behavioral and dependent styles and a negative correlation between the avoidant and analytical styles. Additionally, the examination of the dominant and submissive styles indicated a significant connection between the analytical and rational DMSs. Overall, the two approaches exhibited weak connectivity. For a more comprehensive understanding of decision-makers' behavior and enhanced predictive capabilities, the concurrent application of the two approaches is imperative.

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Section: Literature Review: Dms and Correlation Analysismentioning

confidence: 99%

Analyzing correlations between approaches to analyzing decision-making styles

Kadoić,

Gligora Marković,

Jagačić

2024

Croat. oper. res. rev. (Online)

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“…While some studies have found no significant relationship between neuroticism and PSU (Andreassen et al, 2013;Bianchi & Phillips, 2005), many studies have established a robust positive association between these factors (Eichenberg et al, 2021;T. Gao et al, 2017;Horwood & Anglim, 2018, 2021aLiu et al, 2020;Urieta et al, 2022;Wei et al, 2022). L. Gao et al (2022) used the random-effects model to analyze data from 36 studies, finding neuroticism to be positively associated with PSU.…”

Section: Neuroticism and Problematic Smartphone Usementioning

confidence: 99%

“…On one hand, self-control and neuroticism have a consistent and significant negative correlation (Andrei et al, 2014;de Vries & van Gelder, 2013;Hoyle & Davisson, 2016;Mao et al, 2018;Rush, 2013;Zhang et al, 2019). Self-control is conceptually connected with neuroticism (Hoyle & Davisson, 2016), whereby low neuroticism is characterized by low impulsivity and high emotional regulation (Aslan & Cheung-Blunden, 2012;Hoyle & Davisson, 2016;Urieta et al, 2022). Individuals with high self-control tend to use more emotional regulation strategies (Paschke et al, 2016).…”

Section: Mediation Via Self-controlmentioning

confidence: 99%

“…Among these factors, personality has received extensive attention. Many studies (Horwood & Anglim, 2018, 2021bUrieta et al, 2022;Wei et al, 2022) have found a positive association between PSU and neuroticism (representing one of the main personality traits), with higher levels of neuroticism correlated with greater PSU (Carvalho et al, 2018;Marciano et al, 2020). Though the association between these factors is clear, the influence path (i.e., the mechanism behind their relation) is not.…”

Section: Introductionmentioning

confidence: 99%

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The effect of neuroticism on problematic smartphone use: A mediation model of self-control for males and females

Liu¹,

Wang²,

Zhang³

et al. 2023

Cyberpsychology

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Exploring the effect of certain factors on problematic smartphone use (PSU) and the mechanism of these effects may help researchers understand the antecedents of PSU and propose targeted interventions. Accordingly, the current study tested the mediating role of self-control and the moderating role of gender in the relationship between neuroticism and PSU. A sample of 768 Chinese smartphone users (439 female, 329 male) aged 14–37 years (M = 22.5, SD = 3.27) completed questionnaires on neuroticism, self-control, nomophobia, and mobile phone addiction. The results showed that females reported significantly higher PSU than males. In addition, for females, self-control partially mediated the relationship between neuroticism and PSU, while for males, neuroticism had only a direct effect on PSU. The findings shed light on the effect of neuroticism on PSU and highlight the importance of gender in this effect.

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“…Decision-making style is a cognitive variable since it depends on how people process information ( Hunt et al, 1989 ; Urieta et al, 2022 ). One of the most used decision-making instruments in research is the General Decision-Making Styles (GDMS) proposed by Scott and Bruce (1995) .…”

Section: Introductionmentioning

confidence: 99%

Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles

et al. 2023

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The present study was planned to study the relationships between age, personality (according to Zuckerman’s and Gray’s psychobiological models) and decision-making styles in relation to risky driving behaviors. The participants were habitual drivers, 538 (54.3%) men and 453 (45.7%) women, with a mean age around 45 years and mainly of middle socioeconomic status. The results indicate that the youngest men and women reported more Lapses, Ordinary violations, and Aggressive violations than the oldest men and women. Women reported more Lapses (d = −0.40), and men more Ordinary (d = 0.33) and Aggressive violations (d = 0.28) when driving. Linear and non-linear analysis clearly support the role of both personality traits and decision-making styles in risky driving behaviors. Aggressiveness, Sensitivity to Reward, Sensation Seeking played the main role from personality traits, and Spontaneous and Rational decision-making style also accounted for some variance regarding risky driving behaviors. This pattern was broadly replicated in both genders. The discussion section analyses congruencies with previous literature and makes recommendations on the grounds of observed results.

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Exploring the relationship between personality, decision-making styles, and problematic smartphone use

Cited by 6 publications

References 71 publications

Analyzing correlations between approaches to analyzing decision-making styles

Analyzing correlations between approaches to analyzing decision-making styles

The effect of neuroticism on problematic smartphone use: A mediation model of self-control for males and females

Psychological predictors of risky driving: the role of age, gender, personality traits (Zuckerman’s and Gray’s models), and decision-making styles

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