Driving Anger Scale, French Adaptation: Further Evidence of Reliability and Validity

2007 ◽  
Vol 104 (3) ◽  
pp. 947-957 ◽  
Author(s):  
Arnaud Villieux ◽  
Patricia Delhomme
Keyword(s):  
Reliability And Validity ◽  
Personality Inventory ◽  
Trait Anger ◽  
French Version ◽  
Neo Personality Inventory ◽  
Driving Anger ◽  
Young Drivers ◽  
Five Factors ◽  
Neo Personality Inventory Revised ◽  
Positive Correlations

This study was conducted to provide further evidence of reliability and validity for the Driving Anger Scale, French version. A sample of 202 drivers, ages 18–25 years, completed the scale and the general Trait Anger scale from NEO Personality Inventory-Revised. Factor analysis indicated five factors similar to those found in the original U.S. version. The ‘Traffic Obstructions’ and ‘Slow Driving' factors have been slightly modified, and ‘Discourtesy’ was abandoned. Positive correlations were observed between scores on the Trait-Anger scale from the NEO Personality Inventory-Revised and the Driving Anger Scale ( r = .41) and with its factors (from .24 to .38), except for ‘Illegal Driving’. The internal consistency of the Driving Anger Scale was acceptable for the total score (α = .82) and for factors ranged from .74 to .80. This French version can be preliminarily recommended for the assessment of driving anger in France among young drivers.

Possible Barnum Effect in the Five Factor Model: Do Respondents Accept Random Neo Personality Inventory–Revised Scores as Their Actual Trait Profile?

2002 ◽  
Vol 90 (2) ◽  
pp. 539-545 ◽  
Author(s):  
Pauline Andersen ◽  
Hilmar Nordvik
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Inventory ◽  
Correct Identification ◽  
Neo Personality Inventory ◽  
Military Aviation ◽  
Neo Personality Inventory Revised ◽  
Positive Correlations ◽  
Barnum Effect

This study investigated a possible Barnum effect in personality traits, i.e., that persons accept a false trait profile as correct. Having answered the Norwegian translation of the NEO Personality Inventory–Revised, a group of 75 students, 56 (five women) military aviation cadets and 19 (10 women) graduate students, received a random T-score profile and were asked to rate their agreement on a 7-point scale. For all personality traits, i.e., facets and domains measured by the NEO Personality Inventory–Revised, positive correlations ranging from .08 to .64 were found between the agreement ratings and the similarity between the random false scores and the actual scores. The respondents identified and rejected random T scores that deviated far from their actual scores, which works against the Barnum effect. Correct identification correlated negatively with Neuroticism ( r = −.41) and positively ( r = .53) with Conscientiousness.

Evaluating the Appropriateness of College-Age Norms for Use With Adolescents on the NEO Personality Inventory—Revised

Assessment ◽  
2003 ◽  
Vol 10 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Alissa Sherry ◽  
Robin K. Henson ◽  
Jean G. Lewis
Keyword(s):  
Reliability And Validity ◽  
Personality Inventory ◽  
Group Differences ◽  
Future Research ◽  
Older Individuals ◽  
College Age ◽  
Neo Personality Inventory ◽  
Normal Personality ◽  
Neo Personality Inventory Revised ◽  
Adolescent Sample

The NEO Personality Inventory—Revised (NEO PI-R) measures normal personality characteristics and has demonstrated appropriate score reliability and validity. It is normed for two groups of individuals, college-age individuals 17 to 20 years old and adults 21 and older. Often, personality instruments normed on older individuals have been used with adolescent populations. To examine the appropriateness of this decision, the current study explored the differences between an adolescent sample ( n = 79) and a college-age sample ( n = 80) on the 30 facets and the five domains of the NEO PI-R. Group differences on the facet and domain scales were analyzed using descriptive discriminant analysis. Results indicated that the adolescent and college groups differed on each of the five domains. As expected, the groups also scored differently using the aggregated domain-level variables as the outcome measures. Suggestions for future research include the development of normative data for the adolescent population.

Some Comments on a Factor Analysis of the 16PF and the NEO Personality Inventory-Revised

1995 ◽  
Vol 77 (3_suppl) ◽  
pp. 1307-1311 ◽  
Author(s):  
Heather E. P. Cattell
Keyword(s):  
Factor Analysis ◽  
Big Five ◽  
Personality Inventory ◽  
Factor Analyses ◽  
Neo Personality Inventory ◽  
Five Factors ◽  
Neo Personality Inventory Revised ◽  
Big Five Factors ◽  
Strong Relationships

This paper comments on unusual results recently published by Byravan and Ramanaiah. Their factor analysis of the 16PF and the NEO Personality Inventory-Revised showed the scales of the two tests to be largely unrelated. However, two recent factor analyses of these tests show strong relationships between the two sets of global factors—as strong as between the NEO Personality Inventory-Revised five factors and Goldberg's big-five factors. Possible reasons for the discrepancy are discussed.

scholarly journals Will the Big Five Personality Factor Stand-up: An Analysis of NEO Personality Inventory-Revised

2018 ◽  
Vol 3 (4) ◽  
pp. 334-339
Author(s):  
Suresh Kumar ◽  
CR Darolia
Keyword(s):  
Factor Analysis ◽  
Reliability Analysis ◽  
Big Five ◽  
Indian Population ◽  
Personality Inventory ◽  
Personality Structure ◽  
Neo Personality Inventory ◽  
Bivariate Correlation ◽  
Five Factors ◽  
Neo Personality Inventory Revised

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

Development and Validation of the Faceted Inventory of the Five-Factor Model (FI-FFM)

Assessment ◽  
2017 ◽  
Vol 26 (1) ◽  
pp. 17-44 ◽  
Author(s):  
David Watson ◽  
Ericka Nus ◽  
Kevin D. Wu
Keyword(s):  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Reliability And Validity ◽  
Personality Inventory ◽  
Validity Data ◽  
Neo Personality Inventory ◽  
Convergent And Discriminant Validity ◽  
Three Samples ◽  
Five Phases

The Faceted Inventory of the Five-Factor Model (FI-FFM) is a comprehensive hierarchical measure of personality. The FI-FFM was created across five phases of scale development. It includes five facets apiece for neuroticism, extraversion, and conscientiousness; four facets within agreeableness; and three facets for openness. We present reliability and validity data obtained from three samples. The FI-FFM scales are internally consistent and highly stable over 2 weeks (retest rs ranged from .64 to .82, median r = .77). They show strong convergent and discriminant validity vis-à-vis the NEO, the Big Five Inventory, and the Personality Inventory for DSM-5. Moreover, self-ratings on the scales show moderate to strong agreement with corresponding ratings made by informants ( rs ranged from .26 to .66, median r = .42). Finally, in joint analyses with the NEO Personality Inventory–3, the FI-FFM neuroticism facet scales display significant incremental validity in predicting indicators of internalizing psychopathology.

The five‐factor personality model in applied settings

1994 ◽  
Vol 8 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Itzhak Montag ◽  
Joseph Levin
Keyword(s):  
Factor Analysis ◽  
Personality Inventory ◽  
The Other ◽  
Factor Solution ◽  
Male And Female ◽  
Neo Personality Inventory ◽  
Clear Cut ◽  
Five Factors ◽  
Male Subjects ◽  
Female Subjects

Two studies of the Revised NEO‐Personality Inventory (NEO‐PI‐R) conducted on two different applicant samples (one consisting of 539 female subjects and the other consisting of 396 male subjects) are reported. Factor analysis of the female sample yielded a five‐factor solution, highly congruent with the factors presented by Costa, McCrae and Dye (1991). Results of the male data were less clear‐cut, yielding four to five factors which were moderately congruent with the American data. The combined male and female sample showed again high congruence coefficients. Various minor deviations in the location of the facet variables are discussed.

scholarly journals Modeling General, Specific, and Method Variance in Personality Measures: Results for ZKA-PQ and NEO-PI-R

Assessment ◽  
2016 ◽  
Vol 25 (8) ◽  
pp. 959-977 ◽  
Author(s):  
Francisco J. Abad ◽  
Miguel A. Sorrel ◽  
Luis Francisco Garcia ◽  
Anton Aluja
Keyword(s):  
Personality Inventory ◽  
Response Styles ◽  
General Factor ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Personality Inventories ◽  
Method Factor ◽  
Neo Personality Inventory Revised ◽  
Specific Factors ◽  
Using Data

Contemporary models of personality assume a hierarchical structure in which broader traits contain narrower traits. Individual differences in response styles also constitute a source of score variance. In this study, the bifactor model is applied to separate these sources of variance for personality subscores. The procedure is illustrated using data for two personality inventories—NEO Personality Inventory–Revised and Zuckerman–Kuhlman–Aluja Personality Questionnaire. The inclusion of the acquiescence method factor generally improved the fit to acceptable levels for the Zuckerman–Kuhlman–Aluja Personality Questionnaire, but not for the NEO Personality Inventory–Revised. This effect was higher in subscales where the number of direct and reverse items is not balanced. Loadings on the specific factors were usually smaller than the loadings on the general factor. In some cases, part of the variance was due to domains being different from the main one. This information is of particular interest to researchers as they can identify which subscale scores have more potential to increase predictive validity.

NEO Personality Inventory--Revised Reduced Portuguese Version

2014 ◽  
Author(s):  
Margarida Pedros-Lima ◽  
Eunice Magalhães ◽  
Ana Salgueira ◽  
António-José Gonzalez ◽  
José Joaquim Costa ◽  
...  
Keyword(s):  
Personality Inventory ◽  
Portuguese Version ◽  
Neo Personality Inventory ◽  
Neo Personality Inventory Revised

Confounded versus Nonconfounded Correlations among the Neo-Personality Inventory's Domain and Facet Scales

1996 ◽  
Vol 78 (2) ◽  
pp. 627-630 ◽  
Author(s):  
John R. Hurley
Keyword(s):  
University Students ◽  
Personality Inventory ◽  
Personality Measures ◽  
Full Report ◽  
Neo Personality Inventory ◽  
Neo Personality Inventory Revised ◽  
Scale Scores ◽  
Using Data

The 18 subscales constituting the Neuroticism, Extraversion, and Openness domain scales of Costa and McCrae's NEO-Personality Inventory were correlated with all five NEO-PI domain measures using data from 303 university students. Their residual domain scale scores correlated less than .50 with those on nine facet scales. A divergent domain scale correlated ±.30 or more with 11 facets, including correlations of –.34 or more by Conscientiousness with the Impulsiveness, Vulnerability, and Depression facets of Neuroticism. These latter values were even stronger in the NEO-Personality Inventory–Revised. The correlation of a facet scale with its preassigned residual domain scale and with a divergent domain scale did not differ significantly in 6 of the 18 cases. Unconfounded (part vs whole-minus-part) correlations had a median value of .52 versus .68 for their confounded (part vs whole) counterparts. A full report of unconfounded correlations clarifies the structure of composite personality measures.

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