Exploring the Contributions of Grit and Personality in the Prediction of Self- and Other-Forgiveness

Walker, Christopher O.

doi:10.1027/1614-0001/a000236

Cited by 14 publications

(16 citation statements)

References 46 publications

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“…On the one hand, numerous studies have supported the predictive validity of Grit, particularly in relation to academic outcomes [1,2,11,[28][29][30][31]. In addition, some studies have suggested Grit's incremental predictive validity over Conscientiousness for other domains such as career success, career engagement, and exercise behavior [10,[32][33][34][35]. On the other hand, a substantial number of studies found that Grit did not have any incremental predictive validity over Conscientiousness for a number of achievement outcomes such as GPA [7,12,13,[36][37][38][39].…”

Section: The (Incremental) Criterion Validity Of Grit's Facets Over Cmentioning

confidence: 99%

New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness

Schmidt

Lechner

Danner³

2020

PLoS ONE

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There is emerging consensus that Grit's two facets-perseverance of effort and consistency of interest-are best understood as facets of the Big Five dimension of Conscientiousness. However, an in-depth investigation on whether Grit's facet offer any added value over more established facets of Conscientiousness is absent from the literature. In the present study, we investigated whether Grit's facets are empirically distinguishable from three facets of Conscientiousness as conceived in the well-validated Big-Five Inventory 2 (BFI-2), namely, Organization, Responsibility, Productiveness. Moreover, we investigated whether Grit's facets show different (and possibly stronger) associations than the facets of Conscientiousness with a broad set of external criteria (age, educational attainment, monthly income, life satisfaction, mental and physical health, fluid and crystallized intelligence); as well as whether the criterion correlations of Grit's facets are incremental over Conscientiousness. Findings from two latent-variable models in a large and diverse sample (N = 1,244) indicated that the facets of Grit showed moderate to strong relationships related to each other and to the three Conscientiousness facets of the BFI-2 (.41 � r � .94). Grit-Perseverance was almost indistinguishable from the Productiveness facet of Conscientiousness, whereas Grit-Consistency appeared to capture something unique beyond the Conscientiousness facets. The relationships with external criteria of Grit's facets were similar in direction and size to those of the Conscientiousness facets. The results give further purchase to the view that Grit's facets can be subsumed under the Conscientiousness domain.

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Section: The (Incremental) Criterion Validity Of Grit's Facets Over Cmentioning

confidence: 99%

New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness

Schmidt

Lechner

Danner³

2020

PLoS ONE

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“…Even among the questionnaire-based studies, the patterns of correlations are not necessarily consistent across studies. For example, two recent studies (Oral and Arslan, 2017;Walker, 2017) used the Self subscale of the HFS as the measure of dispositional self-forgiveness and assessed personality factors. In addition to the Big Five factors, Walker (2017) included a measure of grit (Duckworth et al, 2007), whereas Oral and Arslan (2017) included measures of self-compassion (Neff, 2003) and ruminative tendencies for interpersonal offenses (Wade et al, 2008).…”

Section: Personality Correlates Of Forgivenessmentioning

confidence: 99%

Personality correlates of dispositional forgiveness: a direct comparison of interpersonal and self-forgiveness using common transgression scenarios

Hampton,

Carruth,

Lurquin

et al. 2023

Front. Psychol.

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Although the personality correlates of dispositional interpersonal forgiveness (forgiveness of others) have been well characterized, those of dispositional self-forgiveness are less well understood. Moreover, when the personality correlates are examined for both types of forgiveness, the comparison has been based on participants’ self-report ratings on questionnaires. The current study sought to address these gaps in the literature by adopting a scenario-based approach, which has been used less frequently, especially in self-forgiveness research. A total of 160 participants read six fictional scenarios, each describing a severe transgression, from the perspective of the transgressor (self-forgiveness, n = 78) or the victim (interpersonal forgiveness, n = 82) of the transgression, and then responded to several items assessing different facets of forgiveness (avoidance, revenge, and benevolence). Participants’ personality (Big Five) and explanatory style were also assessed. Consistent with prior literature, agreeableness and neuroticism generally predicted different facets of interpersonal forgiveness. These two personality traits also predicted facets of self-forgiveness, but, additionally, conscientiousness and one’s tendency to internalize failure (the personal component of explanatory style) uniquely predicted self-forgiveness, especially avoidance motivations. These results point to both similarities and differences in the personality correlates of interpersonal and self-forgiveness. As a secondary, more exploratory aim, the current study compared the results from our scenario-based assessment of forgiveness to those based on a commonly used questionnaire, the Other and Self subscales of the Heartland Forgiveness Scale (HFS). As expected, the Other subscale of the HFS were associated with levels of interpersonal forgiveness assessed with our transgression scenarios, but, surprisingly, the HFS Self subscale was more strongly related to interpersonal than self-forgivess assessed with scenarios. Moreover, the Self subscale was not associated with levels of self-forgiveness assessed with transgression scenarios, except for avoidance motivations. These results suggest that scenario-based and questionnaire-based methods may capture different facts of forgiveness and cannot be used interchangeably, especially for the assessment of self-forgiveness. More generally, the current study illustrates the importance of conducting direct within-study comparisons of interpersonal and self-forgiveness as well as of different assessment methods to better understand the similarities and differences between the two types of forgiveness.

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“…Indeed, the personality of people has a substantial influence on their lives. Several psychological investigations have been carried out to demonstrate the influence of personality on various aspects of human life; for instance decision making [29], innovativeness and satisfaction with life [30], good citizenship and civic duty [31], romantic relationship [32], forgiveness [33], consumers' behaviors [34], job performance [35], antisocial online behaviors [36], suicidality [37], getting a pandemic like COVID-19 [38], and many others. They are fundamentally established to understand and appraise individual personality differences that characterize people, for a variety of purposes during receiving psychotherapy services [39].…”

Section: Personality Assessment In Psychologymentioning

confidence: 99%

Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier

Ramezani¹,

Feizi‐Derakhshi²,

Balafar³

2022

Preprint

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Nowadays, a tremendous amount of human communications take place on the Internetbased communication infrastructures, like social networks, email, forums, organizational communication platforms, etc. Indeed, the automatic prediction or assessment of individuals' personalities through their written or exchanged text would be advantageous to ameliorate the relationships among them. To this end, this paper aims to propose KGrAt-Net which is a Knowledge Graph Attention Network text classifier. For the first time, it applies the knowledge graph attention network to perform Automatic Personality Prediction (APP), according to the Big Five personality traits. After performing some preprocessing activities, first it tries to acquire a knowingful representation of the knowledge behind the concepts in the input text through building its equivalent knowledge graph. A knowledge graph is a graph-based data model that formally represents the semantics of the existing concepts in the input text and models the knowledge behind them. Then, applying the attention mechanism it efforts to pay attention to the most relevant parts of the graph to predict the personality traits of the input text. The results demonstrated that KGrAt-Net considerably improved the personality prediction accuracies. Furthermore, KGrAt-Net also uses the knowledge graphs' embeddings to enrich the classification, which makes it even more accurate in APP.

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Exploring the Contributions of Grit and Personality in the Prediction of Self- and Other-Forgiveness

Cited by 14 publications

References 46 publications

New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness

New wine in an old bottle? A facet-level perspective on the added value of Grit over BFI–2 Conscientiousness

Personality correlates of dispositional forgiveness: a direct comparison of interpersonal and self-forgiveness using common transgression scenarios

Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier

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