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Journal articles on the topic 'Personality, Fearlessness, Factor Analysis'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

López-Romero, Laura, Beatriz Molinuevo, Albert Bonillo, Henrik Andershed, Olivier F. Colins, Rafael Torrubia, and Estrella Romero. "Psychometric Properties of the Spanish Version of the Child Problematic Traits Inventory in 3- to 12-Year-Old Spanish Children." European Journal of Psychological Assessment 35, no. 6 (November 2019): 842–54. http://dx.doi.org/10.1027/1015-5759/a000458.

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Abstract. The aim of this study was to test the reliability and validity of the Spanish teacher-rated Child Problematic Traits Inventory (CPTI) in two community samples of 3- to 12-year-old children. Confirmatory Factor Analysis (CFA) supported the three-factor structure of the CPTI (Grandiose-Deceitful: GD; Callous-Unemotional: CU; Impulsive-Need for Stimulation: INS), being invariant across gender and age groups. The CPTI total and factor scores showed excellent internal consistencies (> .90) in the total group, and across gender and age groups. In support of their criterion validity, the CPTI scores were positively related to psychopathy scores as measured by an alternative teacher-rated measure. In support of their convergent validity, the CPTI scores showed the expected relations to variables that have been linked to psychopathic personality, including fearlessness, conduct problems, aggression, and low prosocial behavior. Overall, these findings suggest that the Spanish teacher-rated version of the CPTI has good psychometric properties and seems to be a promising tool for studying psychopathic traits in children.

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Colins, Olivier F., Kostas Fanti, Henrik Larsson, and Henrik Andershed. "Psychopathic Traits in Early Childhood: Further Validation of the Child Problematic Traits Inventory." Assessment 24, no. 5 (January 4, 2016): 602–14. http://dx.doi.org/10.1177/1073191115624544.

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The aim was to further test the reliability and validity of a newly developed instrument designed to assess psychopathic personality traits in children, the Child Problematic Traits Inventory (CPTI). Data from the Preschool Twin Study in Sweden were used, a national general population study of 5-year-old twins ( n = 1,188, 50.3% girls). Both preschool teachers and parents were used as informants. Confirmatory factor analysis replicated the intended three-factorial structure of the 28 items of the CPTI. Overall, our findings demonstrated good internal consistency and convergent validity, with all the teacher-rated CPTI scores being associated with teacher and parent ratings of externalizing psychopathology, aggressive behavior, fearlessness, and prosocial peer involvement. In conclusion, the CPTI hold promise as a teacher-rated tool for assessing psychopathic traits in childhood, though more research is needed to see if these findings can be generalized to other countries, settings, and older children.

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Tiwari, Shambhavi, Morten Moshagen, Benjamin E. Hilbig, and Ingo Zettler. "The Dark Factor of Personality and Risk-Taking." International Journal of Environmental Research and Public Health 18, no. 16 (August 9, 2021): 8400. http://dx.doi.org/10.3390/ijerph18168400.

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Aversive personality traits have been linked to risk-taking across various domains. Herein, we investigated whether the common core of aversive traits, the Dark Factor of Personality (D), is related to risk-taking. Whereas the conceptualizations of D (common core of aversive traits) and risk-taking (not inherently socially and/or ethically aversive) do not necessarily imply an association, several theoretical considerations do suggest a positive relation between the constructs. In three studies (overall n = 689), we linked D to various self-report measures of risk-taking (Studies 1 and 2), as well as to a behavioral risk-taking task (Study 3). Overall, D was positively (although not always statistically significantly) related to self-reported risk-taking in terms of financial, health-related, and recreational risk-taking, fearlessness, novelty sensation seeking, intensity sensation seeking, and drug use. However, we did not find an association between D and behavioral risk-taking. Our findings provide insights into the relation between aversive personality and risk-taking, but also point to inconsistencies depending on the specific nature of risk-taking studied.

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Kramer, Mark D., Christopher J. Patrick, John M. Hettema, Ashlee A. Moore, Chelsea K. Sawyers, and James R. Yancey. "Quantifying Dispositional Fear as Threat Sensitivity: Development and Initial Validation of a Model-Based Scale Measure." Assessment 27, no. 3 (April 4, 2019): 533–46. http://dx.doi.org/10.1177/1073191119837613.

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The Research Domain Criteria initiative aims to reorient the focus of psychopathology research toward biobehavioral constructs that cut across different modalities of measurement, including self-report and neurophysiology. Constructs within the Research Domain Criteria framework are intentionally transdiagnostic, with the construct of “acute threat,” for example, broadly relevant to clinical problems and associated traits involving fearfulness and stress reactivity. A potentially valuable referent for research on the construct of acute threat is a structural model of fear/fearlessness questionnaires known to predict variations in physiological threat reactivity as indexed by startle potentiation. The aim of the current work was to develop an efficient, item-based scale measure of the general factor of this structural model for use in studies of dispositional threat sensitivity and its relationship to psychopathology. A self-report scale consisting of 44 items from a conceptually relevant, nonproprietary questionnaire was first developed in a sample of 1,307 student participants, using the general factor of the fear/fearlessness model as a direct referent. This new Trait Fear scale was then evaluated for convergent and discriminant validity with measures of personality and psychopathology in a separate sample ( n = 213) consisting of community adults and undergraduate students. The strong performance of the scale in this criterion-validation sample suggests that it can provide an effective means for indexing variations along a dispositional continuum of fearfulness reflecting variations in sensitivity to acute threat.

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Wendt, Guilherme W., Marli Appel-Silva, and Alice P. Jones-Bartoli. "Bullying involvement and psychopathic personality: disentangling the links among college students." European Journal of Education and Psychology 12, no. 2 (October 28, 2019): 125. http://dx.doi.org/10.30552/ejep.v12i2.278.

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There is a good deal of research about the predictors of aggressive and antisocial behaviour in children, adolescents, and adults. Additionally, previous work has established a link between psychopathic personality and disruptive behaviours among youth, with clear links to bullying. However, little is known about the role of psychopathic personality traits in the manifestation of bullying in young adults. In order to shed additional understanding on the nature of the relationship between bullying and psychopathy, the current investigation proposes to compare psychopathic personality traits in relation to participants’ roles in bullying and to examine the relationships between bullying and psychopathy. The sample comprised here involves 273 college students (Mage=25.5; SD=6.1), who responded to measures of psychopathy and bullying behaviours. With the exception of Carefree Non-Planfulness, Fearlessness, Stress Immunity and Social Influence, all other psychopathic domains measured by the PPI-R-40 were positively correlated with victimisation (rrange=.07-.35). Higher self-reporting of bullying others was linked with higher levels of Blame Externalisation, Machiavellianism, Rebellion Nonconformity, Self-Centred Impulsivity factor, Social Influence, and total psychopathy (rrange=.08-.38). Significant differences between participants’ involvement with bullying for Blame Externalisation, Machiavellian Egocentricity, Rebellion Nonconformity, Social Influence, Total Psychopathy and Self-Centred Impulsivity factor. Implications of the study, along with limitations and directions for future research are discussed.

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6

Poindexter, Erin K., Sarra Nazem, and Jeri E. Forster. "Painful and provocative events scale and fearlessness about death among Veterans: Exploratory factor analysis." Journal of Affective Disorders 208 (January 2017): 528–34. http://dx.doi.org/10.1016/j.jad.2016.10.030.

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7

Kline, Paul. "Factor analysis and personality theory." European Journal of Personality 1, no. 1 (March 1987): 21–36. http://dx.doi.org/10.1002/per.2410010105.

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This article deals with the factor analytic approach to personality. More specifically, it deals with problems in factor analyses of personality questionnaires which contribute to factorial confusion. It is stated that in fact the factorial results make better sense than is usually admitted. The apparent disparity of results can be accounted for by technical defects in the chosen factor analytic method. Furthermore, it is shown that another source of disagreement lies in the interpretation of what are essentially the same factors.

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Fukunaka, Kosuke, and Hideki Toyoda. "Analysis of Unique Factor Structures in Factor Analysis." Japanese Journal of Personality 20, no. 2 (2011): 98–109. http://dx.doi.org/10.2132/personality.20.98.

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9

Boyle, Gregory J., James Ward, and Tania J. Lennon. "Personality Assessment Inventory: A Confirmatory Factor Analysis." Perceptual and Motor Skills 79, no. 3_suppl (December 1994): 1441–42. http://dx.doi.org/10.2466/pms.1994.79.3f.1441.

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The Personality Assessment Inventory is a recently constructed multidimensional self-report measure of personality traits. Morey reported the results of a scale factoring, claiming that the instrument measures four separate higher-order dimensions; however, in an independent Australian study of the psychometric properties of the inventory, Boyle and Lennon found five higher-order dimensions, using factor analytic procedures intended to maximize simple structure. The present paper reports the results of a confirmatory factor analysis for the proposed model based on the Australian data. The results indicate that the model does not provide a satisfactory fit, raising questions about the higher-order factor structure.

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Pesic, Danilo, Tara Adzic, Olivera Vukovic, Marko Kalanj, and Dusica Lecic-Tosevski. "Analysis of personality disorder profiles obtained by five-factor personality model." Vojnosanitetski pregled 77, no. 9 (2020): 950–53. http://dx.doi.org/10.2298/vsp180424175p.

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Background/Aim. In spite of the growing body of evidence in the field of personality disorders, these disorders still retain the lowest diagnostic reliability of any major category of mental disorders. The aim of this study was to investigate the differences of personality profiles in patients diagnosed with personality disorder in comparison with the group of healthy control subjects, as well as to establish to what extent the five-factor personality model domains determine the specific clusters of personality disorders. Methods. The study group comprised 97 patients diagnosed as personality disorders (according to the Diagnostic and Statistical Manual of Mental Disorders ? DSM-IV criteria), aged between 18 and 65 years [mean = 35.78 years, standard deviation (SD) = 13.72 years], 67% were female. Control group included 58 healthy subjects (student population) aged between 20 to 35 years (mean = 22.48 years, SD = 2.56 years), 56% were female. The assessment was carried out by the new version of the NEO Personality Inventory-Revised (NEO-PIR), form S, and the Structured Clinical Interview (SCID II) for DSM-IV disorders. Results. The three clusters were found by the use of regression analysis: cluster A ? eccentrics (low scores in agreeableness), cluster B ? dramatics (high score in extroversion, low score in agreeableness, and cluster C ? anxious (low score in extroversion). The findings showed that the high level of neuroticism was a non-specific predictor of all three clusters, while dimension openness to experience had no predictive power for any of the three clusters. Conclusion. Our findings support the meta-analysis which suggests consistently high level of neuroticism and low level of agreeableness in most personality disorders. The study showed that it is possible to conceptualize personality disorders by using five-factor personality model of normal personality. Integrating the psychiatric classification with the dimensional model of general personality structure could enable the uncovering of essential parameters for setting the diagnosis.

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Aluja, Anton, Miguel Angel Sorrel, Luis F. García, Oscar García, and Fernando Gutierrez. "Factor Convergence and Predictive Analysis of the Five Factor and Alternative Five Factor Personality Models with the Five-Factor Personality Inventory for ICD-11 (FFICD)." Journal of Personality Disorders 36, no. 3 (June 2022): 296–319. http://dx.doi.org/10.1521/pedi_2021_35_542.

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The authors analyze and compare the factor convergence and predictive power of the Revised NEO Personality Inventory (NEO-PI-R) and the Zuckerman-Kuhlman-Aluja Personality Questionnaire (ZKA-PQ/SF) with respect to the Five-Factor Personality Inventory for ICD-11 (FFiCD). A total of 803 White Spanish subjects were analyzed. All the personality domains had significant predictive power with regard to the FFiCD except NEO Openness. The explained variance of the personality domains with respect to FFiCD Negative Affectivity (71% and 77%) and Detachment (56% and 56%) were similar for NEO-PI-R and ZKA-PQ/SF, respectively, but the NEO-PI-R accounted for greater variance for FFiCD Anankastia, Dissociality, and Disinhibition. The FFiCD facets of Rashness, Thrill- Seeking (Disinhibition), and Unassertiveness (Detachment) were located in factors other than those theoretically expected. The authors conclude that normal personality measured by the NEO-PI-R and the ZKA-PQ/SF contribute, in a differential but complementary way, to knowledge of the maladaptive personality measured by the FFiCD.

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12

McCrae, Robert R., and Angelina R. Sutin. "A Five–Factor Theory Perspective on Causal Analysis." European Journal of Personality 32, no. 3 (May 2018): 151–66. http://dx.doi.org/10.1002/per.2134.

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Five–Factor Theory provides a broad but largely blank template for causal personality research. Within Five–Factor Theory, there are three major categories of questions: (1) how do biological structures and functions lead to trait levels? (2) how do traits and the environment give rise to acquired psychological institutions? and (3) how do personality characteristics interact with specific situations to determine behaviours and reactions? Both practical and ethical issues complicate the search for the causes of trait change. Causal explanations of the development of characteristic adaptations are likely to be incomplete, because there are many different ways in which the same adaptation may be acquired. Studies of the determinants of behaviour are usually left to social, educational, or clinical psychologists—although personality psychologists may make distinctive contributions by emphasizing the role of the individual in selecting and creating situations. A causal understanding of the functioning of the personality system is possible through the integration of many lines of evidence, but it is likely to take a very long time. In the meanwhile, personality psychologists may fruitfully pursue the identification of practical causes by which individuals with a given set of traits can optimize their adaptation. Copyright © 2018 European Association of Personality Psychology

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13

Kim, Dae-Jin, Min-Cheol Park, Kui-Haeng Lee, Sang-Yeol Lee, and Sang-Woo Oh. "Factor Analysis of the Adolescent Personality Assessment Inventory." Journal of the Korean Academy of Child and Adolescent Psychiatry 26, no. 3 (September 30, 2015): 226–35. http://dx.doi.org/10.5765/jkacap.2015.26.3.226.

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14

Kassera, Wayne, and Thomas Russo. "Factor Analysis of Personality Preferences and Vocational Interests." Psychological Reports 60, no. 1 (February 1987): 63–66. http://dx.doi.org/10.2466/pr0.1987.60.1.63.

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This study was conducted to assess common factors between personality preferences and vocational interests. A factor analysis yielded five factors which suggested an objective overlap of personality preferences and vocational interests. Implications for vocational psychologists and other users of such measures are stated.

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15

Miller, Brian K., Dennis L. Smart, and Paula L. Rechner. "Confirmatory factor analysis of the Machiavellian Personality Scale." Personality and Individual Differences 82 (August 2015): 120–24. http://dx.doi.org/10.1016/j.paid.2015.03.022.

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16

Bagby, R. Michael, James D. A. Parker, and Russell T. Joffe. "Confirmatory factor analysis of the Tridimensional Personality Questionnaire." Personality and Individual Differences 13, no. 11 (November 1992): 1245–46. http://dx.doi.org/10.1016/0191-8869(92)90260-v.

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17

Ferguson, Eamonn. "Personality and coping traits: A joint factor analysis." British Journal of Health Psychology 6, no. 4 (November 2001): 311–25. http://dx.doi.org/10.1348/135910701169232.

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18

Jooji, Innocent. "Personality Factor and Foreign Policy Analysis in Nigeria." International Journal of Social Sciences and Humanities Invention 9, no. 11 (November 18, 2022): 7442–49. http://dx.doi.org/10.18535/ijsshi/v9i011.12.

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The importance of personality in foreign policy analysis has garnered more emphasis in recent international policy research. Furthermore, a leader's eccentricities remain a critical component in determining foreign policy. As a result, the purpose of this study is to examine the significance of the personality approach in foreign policy analysis using pertinent cases. The data for this study were gathered from secondary sources such as textbooks, journal articles, and other secondary sources, and the data was analysed using content analysis. This research is grounded in Sigmund Freud's psychoanalytic philosophy. Furthermore, this study acknowledges that the influence of decision-makers' personalities in the analysis and promotion of foreign policy cannot be overlooked and remains significant in assessing the path of a country's foreign policy.

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19

Ostendorf, F. "S10.03 Personality disorders and the five-factor model of personality — A meta-analysis." European Psychiatry 15, S2 (October 2000): 226s—227s. http://dx.doi.org/10.1016/s0924-9338(00)93972-5.

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20

Jackson, Chris J., Stephen Z. Levine, and Adrian Furnham. "Gray's model of personality and aggregate level factor analysis." European Journal of Personality 17, no. 5 (September 2003): 397–411. http://dx.doi.org/10.1002/per.490.

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Previous research shows that correlations tend to increase in magnitude when individuals are aggregated across groups. This suggests that uncorrelated constellations of personality variables (such as the primary scales of Extraversion and Neuroticism) may display much higher correlations in aggregate factor analysis. We hypothesize and report that individual level factor analysis can be explained in terms of Giant Three (or Big Five) descriptions of personality, whereas aggregate level factor analysis can be explained in terms of Gray's physiological based model. Although alternative interpretations exist, aggregate level factor analysis may correctly identify the basis of an individual's personality as a result of better reliability of measures due to aggregation. We discuss the implications of this form of analysis in terms of construct validity, personality theory, and its applicability in general. Copyright © 2003 John Wiley & Sons, Ltd.

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Parker, James D. A., R. Michael Bagby, and Laura J. Summerfeldt. "Confirmatory factor analysis of the revised NEO personality inventory." Personality and Individual Differences 15, no. 4 (October 1993): 463–66. http://dx.doi.org/10.1016/0191-8869(93)90074-d.

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22

Wilson, Glenn D., Jeffrey A. Gray, and Paul T. Barrett. "A factor analysis of the Gray-Wilson personality questionnaire." Personality and Individual Differences 11, no. 10 (January 1990): 1037–44. http://dx.doi.org/10.1016/0191-8869(90)90131-a.

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23

Hahn, Raegyu, and Andrew L. Comrey. "Factor Analysis of the NEO-PI and the Comrey Personality Scales." Psychological Reports 75, no. 1 (August 1994): 355–65. http://dx.doi.org/10.2466/pr0.1994.75.1.355.

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The 1985 version of the NEO-PI of Costa and McCrae and the Comrey Personality Scales were administered to a sample of 227 volunteers. The former was designed to measure the “Big Five” factors of personality, using single scales for the factors of Agreeableness and Conscientiousness, and six “facet scales” each to measure the factors of Neuroticism, Extraversion, and Openness. The Comrey Personality Scales consist of 40 personality subscales (FHIDs) that have been shown repeatedly to define eight major factors of personality. In this study, these 40 subscales, the CPS Response Bias Scale, the two NEO-PI single factor scales, the 18 NEO-PI facet scales, and sex were factor analyzed. All eight Comrey factors were clearly identified. NEO-PI scales Neuroticism, Extraversion, and Conscientiousness matched well with Comrey factors Emotional Stability, Extraversion, and Orderliness, respectively. NEO-PI Agreeableness was substantially related to two other Comrey factors, Trust and Empathy. NEO-PI Openness was identified as a separate ninth factor.

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Cooper, Andrew J., Luke D. Smillie, and Philip J. Corr. "A confirmatory factor analysis of the Mini-IPIP five-factor model personality scale." Personality and Individual Differences 48, no. 5 (April 2010): 688–91. http://dx.doi.org/10.1016/j.paid.2010.01.004.

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Kumar, Suresh, and CR Darolia. "Will the Big Five Personality Factor Stand-up: An Analysis of NEO Personality Inventory-Revised." Defence Life Science Journal 3, no. 4 (October 4, 2018): 334–39. http://dx.doi.org/10.14429/dlsj.3.13673.

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The aim of the present study was to examine the factorial invariance of a major instrument i.e., NEO-Personality Inventory-Revised-Form S (NEO PI-R)1, tapping broad five factor of personality such as: neuroticism, extraversion, openness to experiences, agreeableness, and conscientiousness. It also aimed to study the replication of broad five factors in Indian population. To achieve these objectives, the NEO PI-R was administered on a sample of 375 subjects (age range from 18 yrs to 22 yrs) randomly selected from various academic institutes in Indian. The statistical analysis such as descriptive statistics, reliability analysis, and factor analysis were performed on collected data. The higher mean score on neuroticism in present data indicates a cultural variation across the country. Reliability analysis was confirmed test-retest reliability ranging from 0.70 to 0.78 (n = 108, gap of over 60 days) and strikingly high internal consistency ranging from 0.98 to 0.99 for the big five factor in India. Bivariate correlation analyses demonstrate positive significant correlations among the facets scale of NEO-PI-R and their corresponding factor except few correlations. The significant correlations among the five factors question their independence in the measurement of personality structure. In factor analysis, the three personality dimension such as conscientiousness, neuroticism, and agreeableness were clearly replicates and the other two factors such as extraversion and openness to experience were partially replicate to define the personality structure in Indian population. These findings are in line with existing literature and have strong implications to define the personality structure in Indian population

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Parker, James D. A., R. Michael Bagby, and Russell T. Joffe. "Validation of the biosocial model of personality: Confirmatory factor analysis of the Tridimensional Personality Questionnaire." Psychological Assessment 8, no. 2 (June 1996): 139–44. http://dx.doi.org/10.1037/1040-3590.8.2.139.

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Distel, Marijn A., Timothy J. Trull, Gonneke Willemsen, Jacqueline M. Vink, Catherine A. Derom, Michael Lynskey, Nicholas G. Martin, and Dorret I. Boomsma. "The Five-Factor Model of Personality and Borderline Personality Disorder: A Genetic Analysis of Comorbidity." Biological Psychiatry 66, no. 12 (December 2009): 1131–38. http://dx.doi.org/10.1016/j.biopsych.2009.07.017.

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Sudarsono, Bambang, Fatwa Tentama, and Fanani Arief Ghozali. "Employability Analysis of Students in Yogyakarta: Confirmatory Factor Analysis." AL-ISHLAH: Jurnal Pendidikan 14, no. 2 (May 24, 2022): 1451–62. http://dx.doi.org/10.35445/alishlah.v14i2.1782.

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The employability of students is an essential factor that every school must consider. This study aims to test the validity and reliability of the employability scale construct, determine the contribution of each aspect and indicator in reflecting employability variables, and test whether the theoretical model of employability fits with empirical data. Employability is measured by four aspects, namely skills, knowledge, understanding, and personality attributes. The subjects in this study were 372 students of State Vocational High School 1 Kalasan Yogyakarta. The sample in this study amounted to 225 students. The sampling technique used probability sampling with simple random sampling. The data collection method used a job satisfaction scale and data analysis using Structural Equation Modeling (SEM) with 2nd Order CFA through Lisrel 8. 71 programs. The analysis results show that students at the State Vocational High School 1 Kalasan have employability in the reasonably high category. The aspects and indicators that make up the employability variables are declared valid and reliable based on the analysis results. The most dominant aspect that reflects employability is the scientific aspect, namely studying the material presented in school. The lowest aspect that reflects employability is the personality aspect, namely the perception of online to take risks for what is done. The employability variable measurement model fits the empirical data. The main fit model criteria used in testing the suitability of this model are Chi-Square p, RMSEA, NFI, NNFI, CFI, IFI, GFI, AGFI.

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Raykov, Tenko. "On the use of confirmatory factor analysis in personality research." Personality and Individual Differences 24, no. 2 (February 1998): 291–93. http://dx.doi.org/10.1016/s0191-8869(97)00159-1.

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Hagemann, D. "The inverse problem in factor analysis – Implications for personality research." Personality and Individual Differences 60 (April 2014): S44. http://dx.doi.org/10.1016/j.paid.2013.07.125.

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Kövi, Zsuzsanna, Anton Aluja, Joseph Glicksohn, Angel Blanch, Julien Morizot, Wei Wang, Oumar Barry, et al. "Cross-country analysis of alternative five factor personality trait profiles." Personality and Individual Differences 143 (June 2019): 7–12. http://dx.doi.org/10.1016/j.paid.2019.01.042.

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Rhoades, Howard M., John E. Overall, and Edward J. McLaughlin. "Factor analysis of the diagnostic inventory of personality and symptoms." Journal of Clinical Psychology 47, no. 1 (January 1991): 75–79. http://dx.doi.org/10.1002/1097-4679(199101)47:1<75::aid-jclp2270470111>3.0.co;2-z.

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Zeleskov-Djoric, Jelena, Ivana Pedovic, and Vladimir Hedrih. "Friendship functions and personality traits." Psihologija 42, no. 3 (2009): 341–56. http://dx.doi.org/10.2298/psi0903341z.

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The goal of our study was exploration of the factor structure of the MFQ-FF inventory on a sample from Serbian population, and the relations of measures from this inventory (friendship functions) with personality traits, as operationalized by the seven factor model proposed by Tellegen and Waller. For this purpose 154 University of Nis students completed the Serbian version of the MFQ-FF inventory and Lexi-70. The results show that factor structures of certain MFQ-FF scales deviate somewhat from theoretical expectations. Confirmatory factor analysis produced relatively poor levels of fit, while exploratory factor analysis showed that loadings of five items differ substantially from theoretical expectations. As for correlations with personality traits, evaluative dimensions and negative emotionality were found to correlate with the MFQ-FF general factor, and correlations of specific functions with Openness to experience, Positive emotionality and Consciousness were also found. All obtained correlations were low.

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Magliocca, S., D. Romano, F. Madeddu, P. Zeppegno, C. M. Gramaglia, and R. Calati. "Perceived Burdensomeness, Thwarted Belongingness and Fearlessness About Death in Italian university students: validation of the INQ-15 and the ACSS-FAD." European Psychiatry 65, S1 (June 2022): S250. http://dx.doi.org/10.1192/j.eurpsy.2022.645.

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Introduction The Interpersonal Needs Questionnaire (INQ-15) and the Acquired Capability for Suicide Scale - Fearlessness About Death (ACSS-FAD) have been introduced to evaluate the theoretical constructs posit by Joiner’s Interpersonal Psychological Theory of Suicide (IPTS). Objectives The present study aimed to evaluate the psychometric properties of the INQ-15 (which measures Thwarted Belongingness, TB, and Perceived Burdensomeness, PB) and the ACSS-FAD (measurement of Fearlessness About Death, FAD, dimension of the acquired capability) in a population of Italian university students. Methods Since there was no Italian version of the ACSS-FAD, we have translated it through an accurate multistage procedure. ACSS-FAD and INQ-15 have been administered to a sample of 1,665 Italian university students. We analyzed the factorial structure of the INQ-15 and the ACSS-FAD, their reliability, criterion, convergent and discriminant validity. Results Principal Component Analysis confirmed a two-dimensional structure for INQ-15 and a one-factor structure for ACSS-FAD. Internal consistency reliability of the scales was good, respectively TB: α = .85; PB: α = .90; and FAD: α = .85. The INQ-15 demonstrated concurrent associations with suicidal ideation, while the ACSS-FAD with a history of suicidal planning/suicide attempt. Convergent and discriminant validity were also in line with previous studies. Conclusions Both INQ-15 and ACSS-FAD appropriately capture the respective constructs, proving to be valid measures for the assessment of suicide risk factors among Italian university students according to the IPTS. The valuable psychometric properties of the two scales established with this study in the Italian context encourages their use to advance the clinical understanding and prevention of suicide. Disclosure No significant relationships.

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Tivendell, John. "The Cognitive World Structure Game: A Factor Analysis." Perceptual and Motor Skills 63, no. 1 (August 1986): 75–80. http://dx.doi.org/10.2466/pms.1986.63.1.75.

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The Cognitive World Structure Game, a social psychological measure of personality, was administered to 165 male and 219 female undergraduates. The valences attributed to the items were factor analysed using a principal components method with a varimax rotation. The resulting factor solutions are discussed, and further research is recommended.

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Muncer, Steven J. "The general factor of personality: Evaluating the evidence from meta-analysis, confirmatory factor analysis and evolutionary theory." Personality and Individual Differences 51, no. 6 (October 2011): 775–78. http://dx.doi.org/10.1016/j.paid.2011.06.029.

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Argentero, Piergiorgio. "Second-Order Factor Structure of Cattell's 16 Personality Factor Questionnaire." Perceptual and Motor Skills 68, no. 3_suppl (June 1989): 1043–47. http://dx.doi.org/10.2466/pms.1989.68.3c.1043.

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Using a large sample of 3000 normal men and women ( M age = 26 yr.), the primary factor scores on Cattell's 16 Personality Factor Questionnaire were subjected to factor analysis. The purposes of this investigation were (1) to provide a precise definition of 16 PF second-order factor structure, (2) to shed additional light on the nature of two second-order factors that have been previously identified but described as “unstable” and “poorly reproduced,” and (3) to determine the degree of factorial similarity between matrices of men and women. The resulting solutions were substantially congruent with previous studies and showed high similarity between men and women, but no support was provided for the two additional second-order factors.

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Ramanaiah, Nerella V., Fred R. J. Detwiler, and Anupama Byravan. "Life Satisfaction and the Five-Factor Model of Personality." Psychological Reports 80, no. 3_suppl (June 1997): 1208–10. http://dx.doi.org/10.2466/pr0.1997.80.3c.1208.

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The hypothesis that happy and unhappy people have different personality profiles based on five personality factors (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness) was tested using 245 undergraduates (111 men and 134 women) who completed the Satisfaction with Life Scale and the NEO Personality Inventory. Analysis indicated that High and Low Satisfaction groups had significantly different personality profiles, supporting the hypothesis.

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Piedmont, Ralph L., Joseph E. G. Williams, and Joseph W. Ciarrocchi. "Personality Correlates of One's Image of Jesus: Historiographic Analysis Using the Five-Factor Model of Personality." Journal of Psychology and Theology 25, no. 3 (September 1997): 364–73. http://dx.doi.org/10.1177/009164719702500305.

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This research obtained ratings of Jesus on a comprehensive, well-validated personality instrument, the Adjective Check List. Ratings from 77 women and 38 men (ages 17 to 75) were obtained, and the resulting historiographic profile portrayed Jesus as being sympathetic and supportive of others, although he was perceived as maintaining an autonomous and detached presence. Using the five-factor model of personality as the organizing framework, we found that about 11% of the variance in the Jesus ratings overlapped with self-ratings of personality. We outlined the utility of historiographic analysis employing comprehensive models of personality by discussing it in terms of attachment theory.

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Haines, Nathaniel, and Theodore P. Beauchaine. "Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling Perspective." Psychopathology 53, no. 3-4 (2020): 157–67. http://dx.doi.org/10.1159/000508539.

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Davydov, A. Yu, and V. V. Khutsieva. "“Privilege” Factor in Economic Policy of Bolsheviks and Kronstadt Rebellion." Nauchnyi dialog, no. 10 (October 29, 2021): 343–58. http://dx.doi.org/10.24224/2227-1295-2021-10-343-358.

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The influence of the Kronstadt mutiny (March 1921) on the change in the economic course of the Bolsheviks is analyzed. The results of a comparative analysis of different conceptual approaches to its interpretation as a factor of influence are presented. The authors consider the food dictatorship to be the fundamental principle of war communism, periodically softened by campaigns to endow workers with “privileges” in the form of the right to transport food; contemporaries talked about “benefits”. An overview of events, which allows us to consider “privileges” as the main factor in the activation of illegal market relations in 1918—1921is provided in the article. Its novelty lies in the attribution of the Kronstadt mutiny as an essential reason for the transition of the Leninist leadership not to the NEP, but to the next “privileged” operation. At the same time, the authors of the article argue that the accumulation of concessions (“privileges”), accelerated by the rebellion, led in August 1921 to the legalization of freedom of trade and to the NEP. Great attention is paid to the issue of the social basis of the mutiny, since, among other things, the authors see the sources of fearlessness and despair of the insurgents in this circumstance. A. Davydov and V. Khutsieva prove that the rebels primarily acted on behalf of that part of the peasantry that managed to save their bread from the Bolshevik requisitions.

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Mitchell, John T., Nathan A. Kimbrel, Natalie E. Hundt, Amanda R. Cobb, Rosemery O. Nelson‐Gray, and Christopher M. Lootens. "An analysis of reinforcement sensitivity theory and the five‐factor model." European Journal of Personality 21, no. 7 (November 2007): 869–87. http://dx.doi.org/10.1002/per.644.

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Reinforcement Sensitivity Theory (RST) and the Five‐Factor Model (FFM) are two prominent personality accounts that have emerged from different backgrounds. Although the two accounts are applied to similar research topics, there is limited empirical work examining the correspondence between them. The current study explored the relationship between RST‐based personality traits and the FFM domains and facets in an undergraduate sample (n = 668). Regression analyses indicated that Sensitivity to Punishment (SP) was positively associated with Neuroticism and Agreeableness, and negatively associated with Extraversion, Openness, and Conscientiousness. In contrast, Sensitivity to Reward (SR) was positively associated with Extraversion and Neuroticism, and negatively associated with Agreeableness and Conscientiousness. Exploratory analyses at the facet level specified the relationship between SP, SR, and each domain. A factor analysis was also conducted to explore the higher‐order factor structure of RST and the FFM domains. Three factors emerged, which we labelled SP, Stability‐Impulsivity, and Sensation Seeking. Taken together, these findings suggest that there is substantial overlap between these two accounts of personality. Copyright © 2007 John Wiley & Sons, Ltd.

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Malouff, John M., Einar B. Thorsteinsson, Sally E. Rooke, and Nicola S. Schutte. "Alcohol Involvement and the Five-Factor Model of Personality: A Meta-Analysis." Journal of Drug Education 37, no. 3 (September 2007): 277–94. http://dx.doi.org/10.2190/de.37.3.d.

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The purpose of this meta-analysis was to quantify the relationship between the Five-Factor Model of personality and alcohol involvement and to identify moderators of the relationship. The meta-analysis included 20 studies, 119 effect sizes, and 7,886 participants. Possible moderators examined included: five-factor rating type (self vs. other); study time-frame (cross sectional vs. longitudinal); sample type (treatment vs. non-treatment); type of alcohol involvement measure used; gender of the participants; and age of the participants. The meta-analysis showed alcohol involvement was associated with low conscientiousness, low agreeableness, and high neuroticism, a personality profile that: a) fits on the low end of a superordinate personality dimension that has been called self-control; and b) makes treatment difficult. Several significant moderators of effect size were found, including the following: studies of individuals in treatment for alcohol problems showed a more negative pattern of personality traits than did other studies; cross-sectional studies, but not longitudinal studies, showed a significant effect for agreeableness, perhaps suggesting that low agreeableness may have a different causal link to alcohol involvement from the other factors; mixed-sex samples tended to have lower effect sizes than single-sex samples, suggesting that mixing sexes in data analysis may obscure effects.

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Jones, Celeste. "Five Factor Model: Insights into a College Population." Current Research in Psychology and Behavioral Science (CRPBS) 3, no. 6 (September 1, 2022): 1–6. http://dx.doi.org/10.54026/crpbs/1062.

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College is a time noted for identity development, personal challenges and growth all within a social context where students interact with people across the personality continuum. The five-factor model of personality is a theoretically and psychometrically robust personality model that can provide insight into the 1st year college population. We explored the personality profile and norms for this college population, including the relationship between personality factors and classic character virtues that were a part of their first-year college curriculum experience and the relationship between personality factors and selection of college major. Results showed the first-year students had higher scores on agreeableness and conscientiousness than the other personality factors. The analysis of character virtues and personality factors showed relationships between agreeableness with the virtues of empathy, justice and humility. The personality factor of openness correlated with creativity and curiosity, Neuroticism with temperance, and conscientiousness with curiosity. Exploration of the relationship between personality and college majors showed that students majoring in theology and business were lower in agreeableness than students in kinesiology, nursing, psychology, education or social work. Students in the school of design and psychology had relatively lower scores in neuroticism than did students in the natural sciences, engineering, business or nursing. These results suggest that the five factor personality assessment may provide helpful insights to students and faculty as they navigate their first year of college.

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Malouff, John M., Einar B. Thorsteinsson, and Nicola S. Schutte. "The Five-Factor Model of Personality and Smoking: A Meta-Analysis." Journal of Drug Education 36, no. 1 (March 2006): 47–58. http://dx.doi.org/10.2190/9ep8-17p8-ekg7-66ad.

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De Bruin, Gideon P., Zak J. Nel, and Andrew L. Comrey. "Factor Analysis of an Afrikaans Translation of the Comrey Personality Scales." Psychological Reports 81, no. 3 (December 1997): 867–76. http://dx.doi.org/10.2466/pr0.1997.81.3.867.

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The factorial validity of an Afrikaans translation of the Comrey Personality Scales, was investigated using a sample of 804 South African university students. Nine factors were extracted and rotated. Eight of the factors were clearly recognisable as the eight factors that comprise Comrey's 1970 taxonomy of personality traits. Coefficients of congruence indicated that seven of the factors were very similar to the factors obtained in the American normative sample. Loadings for The Social Conformity factor were not as high as expected, but this may have been due to the fact that the participants were nonvolunteers who may have been hesitant to reveal nonconforming attitudes and behaviors. These results lend additional support for the factorial validity of the traits in Comrey's taxonomy which have now been identified and replicated in several countries and languages.

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Jang, Hee-Jeong, and Hyun-Sung Leem. "Analysis of the Correlation between Five Personality Factor and Vision Training." Korean Journal of Vision Science 19, no. 2 (June 30, 2017): 179–91. http://dx.doi.org/10.17337/jmbi.2017.19.2.179.

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Judge, Timothy A., Daniel Heller, and Michael K. Mount. "Five-factor model of personality and job satisfaction: A meta-analysis." Journal of Applied Psychology 87, no. 3 (2002): 530–41. http://dx.doi.org/10.1037/0021-9010.87.3.530.

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Ohi, Kazutaka, Takamitsu Shimada, Yusuke Nitta, Hiroaki Kihara, Hiroaki Okubo, Takashi Uehara, and Yasuhiro Kawasaki. "The Five-Factor Model personality traits in schizophrenia: A meta-analysis." Psychiatry Research 240 (June 2016): 34–41. http://dx.doi.org/10.1016/j.psychres.2016.04.004.

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Barańczuk, Urszula. "The five factor model of personality and alexithymia: A meta-analysis." Journal of Research in Personality 78 (February 2019): 227–48. http://dx.doi.org/10.1016/j.jrp.2018.12.005.

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