Validation of the NEO PI-R Observer Form for College Students: Toward a Paradigm for Studying Personality Development

Assessment ◽  
1994 ◽  
Vol 1 (3) ◽  
pp. 259-268 ◽  
Author(s):  
Ralph L. Piedmont
Keyword(s):  
College Students ◽  
Rating Scale ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Development ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Self Reports ◽  
Observer Ratings

Using correlational designs that included an evaluation of cross-observer convergence, research on the five-factor model of personality has documented it to be a robust, comprehensive taxonomy that remains extremely stable in adulthood. Because the cross-observer paradigm can also be useful for examining personality development in late adolescence, this study evaluated the reliability and construct validity of observer ratings on the Revised NEO Personality Inventory (NEO PI-R) in a sample of 101 college students. No such normative information is currently available. Each subject completed the NEO PI-R for themselves and had two individuals familiar to them complete the observer version. The results documented strong internal consistency for each rating scale and a factor structure which replicated previous findings using adult self-reports. Significant peer-peer and peer-self correlations were found as well as numerous cross-observer, cross-instrument convergence between the NEO PI-R ratings and self-reported scores on the Multidimensional Personality Questionnaire. The results also indicated the presence of a reverse acquaintanceship effect, where long-term friends provided less accurate ratings than more recent acquaintances.

Exploring five factor model personality traits as predictors of burnout dimensions among college students in the Philippines

2016 ◽  
Vol 6 ◽  
Author(s):  
Marc Eric S. Reyes ◽  
Roger D. Davis ◽  
Cherline A. San Diego ◽  
Mara Carmina A. Tamayo ◽  
Nolein Verniz V. Dela Cruz ◽  
...  
Keyword(s):  
College Students ◽  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Maslach Burnout Inventory ◽  
The Philippines ◽  
Three Dimensions ◽  
Student Survey ◽  
Neo Personality Inventory ◽  
Neo Personality Inventory Revised

Burnout occurs among students when they suddenly lose interest in their studies due to feeling physically and emotionally drained. They experience further emotional depletion due to study demands, distrustfulness and detachment about their work. This study investigated the relationship between the Five-Factor Model (FFM) personality traits and burnout, as operationalised by Maslach's three dimensions of burnout, namely exhaustion, cynicism and reduced personal efficacy. Previous Western research was replicated in order to contribute to the cross-cultural literature on burnout. The Maslach Burnout Inventory – Student Survey University Form and the NEO – Personality Inventory Revised Form S were subjected to stepwise forward regression using FFM factors and facets to predict the scores on each burnout dimension. Five hundred and seventy-seven Filipino college students (age 17 to 24) from private universities and colleges within Metro Manila participated. Results revealed that neuroticism and conscientiousness predict all three burnout constructs. However, certain facets of neuroticism and conscientiousness are more important than others. At the facet level, facets of agreeableness and openness contributed to prediction of burnout as well.

scholarly journals Age Differences in Personality Traits and Social Desirability: A Multi-Rater Multi-Sample Study

2020 ◽  
Author(s):  
Liisi Kööts-Ausmees ◽  
Christian Kandler ◽  
Anu Realo ◽  
Jüri Allik ◽  
Peter Borkenau ◽  
...  
Keyword(s):  
Personality Traits ◽  
Age Differences ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Development ◽  
Assessment Method ◽  
Socially Desirable Responding ◽  
Cross Sectional ◽  
Total N ◽  
Self Reports

Age differences in personality traits can inform us on the magnitude and qualities of personality development and describing them accurately is therefore of utmost importance. Little research yet has examined age differences by combining more than one source of information, despite many psychologists knowing that any one assessment method is prone to artefacts. We compared age differences in a range of personality traits such as Five-Factor Model (FFM) facets and nuances in self-reports and ratings by knowledgeable informants. Relying on samples from three countries (total N = 5,624) allowed us to cross-validate and meta-analyze the findings. We hypothesized that age differences would be larger in self-reports, because socially desirable responding increases with age. Indeed, we found that age-differences were systematically smaller in informant-reported facets and nuances compared to their self-reported counterparts and that this trend was stronger for traits independently rated as socially desirable. These findings replicated across multiple samples. We also hypothesized that variance of self-reported traits would decrease with age for evaluative traits, but this hypothesis received inconsistent support. We conclude that age differences may be inflated in self-reports partly because of socially desirable responding. However, since we cannot definitively rule out that age differences are underestimated in informant-ratings, they may be best approximated by average trends of self- and informant-reports. We therefore provide meta-analytic age trends for multi-rater composite scores of the FFM traits, their facets, and items. This is among the most rigorous studies yet into cross-sectional age differences in personality traits.

A Five-Factor Theory Perspective on the Rorschach

2005 ◽  
Vol 27 (1) ◽  
pp. 80-100 ◽  
Author(s):  
Paul T. Costa ◽  
Robert R. McCrae
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Self Report ◽  
Stability And Convergence ◽  
Dynamic Processes ◽  
Systems Model ◽  
Self Reports ◽  
Observer Ratings

Many of the constructs the Rorschach is used to assess are related to personality traits included in the Five-Factor Model, but studies to date have not shown convergence between Rorschach and self-report measures of these traits. This poses a problem for the Rorschach, because recent research on the universality, stability, heritability, and consensual validity of traits demonstrate that self-report measures cannot be dismissed. In an effort to understand these issues, we examine the Rorschach from the perspective of Five-Factor Theory (FFT), a systems model of the person. FFT is compatible with the projective hypothesis, but would generally lead to the expectation that Rorschach signs and self-reports should be correlated. Where they are not, the validity of Rorschach measures of personality traits would need to be confirmed by demonstrations of their heritability, stability, and convergence with observer ratings. The Rorschach may be more useful when interpreted in the context of a global psychodynamic assessment. Clinicians who use the Rorschach should gather the data necessary to test its validity as a measure of personality traits and related constructs, and clinicians and researchers should consider the possible use of Rorschach responses in assessing dynamic processes.

Comparing the Prediction of Dimensional Personality Disorders (PID-5) After Three Personality Trait Models

2020 ◽  
pp. 1-11
Author(s):  
Luis F. García ◽  
L. Cuevas ◽  
I. Lucas ◽  
A. Aluja
Keyword(s):  
Personality Disorders ◽  
Personality Trait ◽  
Convergent Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Inventory ◽  
Personality Questionnaire ◽  
Neo Personality Inventory ◽  
Dsm 5 ◽  
New Instrument

Abstract. A dimensional approach for Personality Disorders was proposed in the DSM-5. To assess this approach, a new instrument (the Personality Inventory for DSM-5 [PID-5]) was developed in 2012. One research line has analyzed its convergent validity with personality traits, focusing almost exclusively on the Five-Factor Model (FFM). However, previous evidence about the relationships between Categorical Personality Disorders and other personality trait models shows that they can improve our understanding of Personality Disorders beyond the FFM. The aim of the present study is to compare the power of three personality models (FFM, Cloninger’s, and Zuckerman’s) to predict PID-5 domains. Three samples from the Spanish and Catalan general population were collected for this study depending on which personality questionnaire was applied (1,052 for revised NEO Personality Inventory [NEO-PI-R], 465 for Zuckerman-Kuhlman-Aluja Personality Questionnaire [ZKA-PQ], and 332 for Temperament and Character Inventory Revised [TCI-R-140]). The PID-5 was also applied to all subjects. Factor and regression results indicate that the three models were able to predict Dimensional Personality Disorders well, although some differences emerge between them. Specific relationships between dimensional disorders and traits, the role of the facets as well as the utility of the results reported are discussed.

A Comparison of Two Five-Factor Model Operationalizations of the Triarchic Model of Psychopathy in a Clinical Sample

Assessment ◽  
2021 ◽  
pp. 107319112110061
Author(s):  
Jared R. Ruchensky ◽  
M. Brent Donnellan ◽  
Christopher J. Hopwood ◽  
John F. Edens ◽  
Andrew E. Skodol ◽  
...  
Keyword(s):  
Negative Affect ◽  
Personality Traits ◽  
Convergent Validity ◽  
Factor Model ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Neo Personality Inventory ◽  
Neo Personality Inventory Revised ◽  
Using Data ◽  
Triarchic Model

Structural models of personality traits, particularly the five-factor model (FFM), continue to inform ongoing debates regarding what personality attributes and trait domains are central to psychopathy. A growing body of literature has linked the constructs of the triarchic model of psychopathy (boldness, meanness, disinhibition) to the FFM. Recently, researchers developed both item and regression-based measures of the triarchic model of psychopathy using the NEO Personality Inventory–Revised—a popular measure of the FFM. The current study examines the correlates of these two FFM-derived operationalizations of the triarchic model using data from the Collaborative Longitudinal Personality Disorders Study. The two approaches had strong convergent validity coefficients and similar patterns of criterion-related validity coefficients. Meanness related to greater personality pathology characterized by exploitation of others and poor attachment, whereas disinhibition related to indicators of greater negative affect and poor behavioral constraint. Boldness related to reduced negative affect and greater narcissistic personality traits. Although the item and regression-based approaches showed similar patterns of associations with criterion-variables, the item-based approach has some practical and psychometric advantages over the regression-based approach given strong correlations between the meanness and disinhibition scores from the regression approach.

scholarly journals Personality and Insomnia Symptoms in Older Adults: The Baltimore Longitudinal Study of Aging

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 578-579
Author(s):  
Darlynn Rojo-Wissar ◽  
Amal Wanigatunga ◽  
Eleanor Simonsick ◽  
Antonio Terracciano ◽  
Jennifer Schrack ◽  
...  
Keyword(s):  
Older Adults ◽  
Longitudinal Study ◽  
Sleep Disturbances ◽  
Positive Emotions ◽  
Rating Scale ◽  
Factor Model ◽  
Five Factor Model ◽  
Baltimore Longitudinal Study ◽  
Insomnia Symptoms ◽  
Insomnia Severity

Abstract Personality and disturbed sleep are tied to medical morbidity in older adults. We examined associations of personality dimensions and facets from the five-factor model with reports of insomnia symptoms in 1,069 well-functioning older adults 60-97 (SD=8.64) years (51% women) from the Baltimore Longitudinal Study of Aging. Personality was assessed by the Revised NEO Personality Inventory, and insomnia symptoms measured by the Women’s Health Initiative Insomnia Rating Scale. Adjusting for demographics and depressive symptoms, higher neuroticism (B=0.05, SE=-0.01, p<.001) and lower conscientiousness (B=-0.03, SE=-0.01, p<.05) were associated with greater insomnia severity. Although openness, extraversion and agreeableness were not associated with insomnia, a facet of each was. Higher scores on the “positive emotions” facet of extraversion (B =-0.03, SE=-0.01, p<.05) “ideas” facet of openness (B=-0.03, SE=-0.01, p<.05) and altruism facet of agreeableness (B=-0.03, SE=-0.01, p<.05) were associated with lower insomnia severity. Sleep disturbances may partially mediate personality’s influence on health. Part of a symposium sponsored by the Sleep, Circadian Rhythms and Aging Interest Group.

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.

Relationship between Wais—R Intelligence and the Five-Factor Model of Personality in a Normal Elderly Sample

2003 ◽  
Vol 92 (3_suppl) ◽  
pp. 1151-1161 ◽  
Author(s):  
Aristide Saggino ◽  
Michela Balsamo
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Adult Intelligence Scale ◽  
Intelligence Scale ◽  
Wechsler Adult Intelligence Scale ◽  
Neo Personality Inventory ◽  
Nonclinical Sample ◽  
And Performance ◽  
Wechsler Adult Intelligence ◽  
Intelligence Scores

The present study examined associations between Wechsler Adult Intelligence Scale–Revised (WAIS–R) scores and the five-factor model of personality, as measured by the Revised NEO Personality Inventory. Both tests were administered to a nonclinical sample of 100 Italian subjects 75 years and older. Analysis showed that the NEO-PI–R Openness to Experience domain was a weak but the best predictor of the three WAIS–R intelligence scores (Total, Verbal, and Performance). Were such a relationship confirmed by further investigations, Openness could be interpreted as a factor which might mitigate intellectual impoverishment which accompanies the normal aging process.

scholarly journals Do self-reports and informant-ratings measure the same personality constructs?

2017 ◽  
Author(s):  
René Mõttus ◽  
Jüri Allik ◽  
Anu Realo
Keyword(s):  
Measurement Invariance ◽  
Factor Model ◽  
Five Factor Model ◽  
Rater Agreement ◽  
Informant Ratings ◽  
Self Reports

Personality researchers often supplement or substitute self-reports with ratings from knowledgeable informants, at least implicitly assuming that the same constructs are measured regardless of the source of ratings. However, measurement invariance (MI) of personality constructs across these rating types has rarely been empirically tested. Here, this was done for the Five-Factor Model domains and their 30 facets (N = 3,253). Four domains and 26 facets showed the level of invariance (metric MI) required for comparing the relative standings of individuals across self-reports and informant-ratings, which is what researchers mostly do. However, 28 of the 35 scales failed to achieve the level of invariance (scalar MI) recommended when comparing mean scores. Self-informant pairs who contributed to higher MI also tended to display higher cross-rater agreement. In conclusion, self-reports and informant-ratings appear to measure reasonably similar constructs for most research purposes, but poor MI may contribute to imperfect cross-rater agreement.

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