Academic literature on the topic 'Five-Factor Nonverbal Personality Questionnaire'

The Nonverbal Personality Questionnaire (NPQ) is an experimental, structured, nonverbal measure of 16 personality traits. Its items lack verbal content and, therefore, the inventory is useful for cross‐cultural research. Our goal is this research was to select a subset of the NPQ items to form a new nonverbal questionnaire based on the Five‐Factor Model of personality. We describe the construction of the Five‐Factor Nonverbal Personality Questionnaire (FF‐NPQ), and present data on its psychometric properties. These data include scale internal consistencies, intercorrelations, convergences with verbal measures of the Big Five factors, discriminant validity correlations, correlations with peer ratings, and ability to predict socially important behaviour criteria such as smoking and alcohol consumption. In a second study, we report on the psychometric properties of the FF‐NPQ in an independent sample of respondents from seven different countries. The utility of the new nonverbal inventory for cross‐cultural research is discussed. Copyright © 2001 John Wiley & Sons, Ltd.

The Five-Factor Nonverbal Personality Questionnaire, FF-NPQ (Paunonen, Ashton & Johnston, 2001) is an psychometric, structured, nonverbal measure of personality traits defined within the Big-Five model of personality (Costa & McCrae, 1992). The questionnaire has been experimented on Romanian population and the psychometric properties have been studied on a normative sample of 1800 subjects (Iliescu, Minulescu, Nedelcea, 2005). This study presents the results of an exploratory factorial analysis that was carried out in Romania on the items of the Five-Factor Nonverbal Personality Inventory (FFNPQ). The article is focused on the emergence of a 6-factor factorial solution, in some points different from Costa and McCrae's (1992) model, which has been the fundament of FFNPQ construction.

This study explored whether scores on intelligence tests and personality questionnaires can predict performance in an adult basic education and training (ABET) programme. Participants in ABET programmes often have limited English reading skills, which make the use of conventional assessment tools problematic. A proposed solution is to utilise instruments that make limited demands on the use of language. Raven's Progressive Matrices (RPM), a well-established intelligence test, and the Five Factor-Nonverbal Personality Questionnaire (FF-NPQ) are both instruments that do not require any reading. The performance of 82 participants in the practical and academic components of an ABET programme was correlated with the RPM and the five traits of the FF-NPQ, namely, Extraversion, Conscientiousness, Openness to Experience, Neuroticism and Agreeableness. The RPM correlated significantly with both the practical ( r= 0.47) and academic components ( r= 0.35). The Agreeableness scale of the FF-NPQ correlated significantly with the practical component ( r = 0.34). No personality scale correlated significantly with the academic component. The results show that non-verbal intelligence tests and personality inventories can be potentially useful in the prediction of performance in an ABET programme.

Abstract. Typologies based on Big Five questionnaire data always include the resilient prototype, which is defined by low scores on neuroticism and above-average scores on extraversion, agreeableness, and conscientiousness. When measurement of the criterion domains is based on self-reports, this type evidences superior psychological adjustment and well-being in nearly all domains. In the present study, we tested whether the personality profile constituting the resilient prototype is an artifact of self-deceptive enhancement in answering questionnaires. Therefore, we contrasted self-reports of resilients with objective data that we collected during an actual stressful event. A total of 112 pupils (15–19 years) were examined via questionnaires and asked to complete a speech task in front of a video camera. Stress reactions were measured by self-reports as well as by nonverbal behavior, achievement, and physiological responding. Results showed that resilients differed from the other personality prototypes only when self-reports (coping, affectivity) were used. By contrast, no differences between personality prototypes emerged when the three objective stress indicators (speech performance, behavior, and physiological arousal) were used. These findings call into question the superior psychological adjustment attributed to the resilient prototype and stress the necessity of multimethod assessment in personality prototype research.

The impulsivity construct has been investigated in the psychological literature as both a personality factor and a manifestation of the cognitive functioning of individuals. In addition, an increasing number of studies have shown that impulsivity is not a unitary concept and that it must be conceived of as several subtypes. We investigated whether a self-report test of three types of impulsivity could be a good predictor of cognitive functioning in healthy individuals. The sample was composed of 230 subjects (65% women) with a mean age of 28.4 years (SD = 13.6 years) from the general population of the Autonomous City of Buenos Aires, Argentina. The sample was evaluated using the Questionnaire on Compulsive Urgency, Sensation Seeking, and Impulsive Improvidence (CUBI-18; Squillace Louhau, & Picón Janerio, 2019), which measures three impulsivity subtypes. A battery of neuropsychological tests was administered to measure not only executive-attentional functioning, verbal and non-verbal fluency, and speed of processing, but also strategies in the decision-making process. The results showed a differential profile of the three subtypes of impulsivity. Compulsive Urgency was associated with greater executive- attentional difficulties, Impulsive Improvidence with lower fluency in processing nonverbal information, and Sensation Seeking with better general cognitive performance and risk-taking during decision-making.

The aim of the study was to test whether the Agentic Management (AM) and Communal Management (CM) scales ( Paulhus, 2006 ) represent valid indicators of faking on a Five-Factor personality questionnaire. These scales represent recent advances in measurement of desirable responding. In a within-subject design study, 210 participants completed a Big Five personality questionnaire and social desirability inventory, both in honest and simulated selection conditions. Although the AM and CM scales were sensitive to situational demands and substantially correlated with the level of faking on some personality traits, our analyses revealed that they cannot be used to correct personality scales nor to eliminate participants from selection procedures.

The argument is presented that many commercial personality questionnaires occupy a similar common vector space. A data-set was obtained of scores for 204 persons on the Sixteen Personality Factor Questionnaire, the California Personality Inventory, the Edwards Personal Preference Schedule, the Omnibus Personality Inventory, and the Adjective Check List. Quasifactor scores were generated from each inventory, based on the results of earlier work, as estimates of five broad variables hypothesized to define the common vector space across instruments. Factor analysis of the correlations among the resultant 23 variables was largely confirmatory of the hypothesized common vector space.

Factor structure of the Sixteen Personality Factor Questionnaire (Fifth Edition) was investigated from the perspective of the five-factor model, using Goldberg's 1992 scales for five factors of personality and the Revised NEO Personality Inventory scales as markers for the five major personality factors. The three inventories were completed by 96 male and 92 female undergraduates. Results provided strong support for the generality and comprehensiveness of the five-factor model.

M.A.<br>The present study was conducted in order to construct a personality inventory that is cross-culturally valid for the South African population with at least a Grade 12 level of education. The Basic Traits Inventory was developed on the basis of the five-factor model of personality, which measures personality in terms of five broad domains, most commonly known as: Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness (McCrae & John, 1992). The five factors of Basic Traits Inventory bear the same name as those in the five-factor model, and are each divided into five facets, except Neuroticism, which has four facets. The factors and their facets were defined after a study of the literature, and the items of the inventory were generated in order to represent these definitions. After performing an item-sorting procedure, some items were revised or removed. The final format of the Basic Traits Inventory consisted of a single list of 173 items, which were all grouped according to their respective facets, and presented together for each factor. Three comparison groups were formed in order to evaluate the psychometric properties of the Basic Traits Inventory, namely: Race (Black and White), gender, and language (English, Afrikaans, and Indigenous African). The sample consisted of 1510 participants, made up mostly of second year psychology students and their parents, with a mean age of 37.52 (range = 17 to 75). There were 566 men and 914 women (30 unspecified) in the sample. The language groups were designated as follows: Afrikaans (n = 558); Indigenous African (n = 73); and English (n = 822). The race groups compared in the present study consisted of 1121 White participants and 114 Black participants. The internal consistency reliability coefficients were calculated for the factors and facets of the Basic Traits Inventory. The reliability coefficients of each of the five factors in the total group were all satisfactory: Extraversion (á = 0.89); Neuroticism (á = 0.94); Openness to Experience (á = 0.90); Agreeableness (á = 0.88); and Conscientiousness (á = 0.94). The five factors also demonstrated satisfactory reliability in each of the comparison groups. The facets Liveliness, Straightforwardness, and Modesty each had low reliability coefficients across all comparison groups. Openness to Values demonstrated low reliability in all groups except for the Black group and Indigenous African language group. Excitementseeking and Prosocial tendencies had low reliability coefficients in the Black group and Indigenous African language group. These facets will have to undergo revision in future versions of the Basic Traits Inventory. In a factor analysis, five factors were extracted using a maximum-likelihood factor analysis with Promax rotation (k = 4) for each of the comparison groups. The resultant factor structures were compared by rotating the structures of the comparison groups to a target structure, and calculating Tucker’s phi for each of the factors and facets in the structure. The White group, women, and English language group were designated as the respective target groups for the race, gender, and language groups. The factor structures of all comparison groups demonstrated satisfactory fit with the theoretical structure of the Basic Traits Inventory, with exception of the Black group and Indigenous African language group. Positive affectivity was the only facet that did not fit the theoretical structure of the Basic Traits Inventory for all comparison groups. In the Black group, the five factors that were extracted in the factor analysis were identifiable as the five factors expected from the theory. There was some overlap between Openness to Experience and Agreeableness, but most of the facets had primary salient loadings on their posited factors. The eight facets that did not perform as expected were: Positive affectivity, Anxiety, Order, Openness to Actions, Openness to Values, Modesty, and Prosocial tendencies. In the Indigenous African language group, there was a clear overlap between the Agreeableness and Openness to Experience factors. Agreeableness was the only factor that did not emerge clearly for the Indigenous African language group. Most of the Agreeableness facets loaded on the Openness to Experience factor, or on a fifth factor that could not be identified. This factor consisted of the following facets: Positive affectivity, Tendermindedness, Compliance, Openness to Values, and Depression. In the factor congruence analyses, for the race groups Agreeableness was the only factor that had a congruence coefficient less than 0.90. Six facets had congruence coefficients below 0.90, namely Positive affectivity, Openness to Actions, Openness to Values, Modesty, Tendermindedness, and Prosocial tendencies. For the gender group, all facets and factors had congruence coefficients of above 0.90, suggesting that the constructs measured by the Basic Traits Inventory manifest in the same way for men as they do for women. For the language groups, a comparison between factor structures of the English and Afrikaans language groups demonstrated good structural agreement, with Prosocial tendencies and Modesty the only facets with congruence coefficients less than 0.90. There was poor agreement between the factor structures of the Indigenous African and English groups, as well as between the Indigenous African and Afrikaans groups. In both comparisons, Conscientiousness was the only factor with all its facets having a congruence coefficient of above 0.90. The results indicated a relatively stable five-factor structure for the Basic Traits Inventory. However, due to the small size of the Black group (n = 114) and Indigenous African Language group (n = 73), it was recommended that more research be done with larger samples in order to verify the structure of the Basic Traits Inventory (Comrey & Lee, 1992). Suggestions for future research included replication of the analyses conducted with a larger, more representative sample, translation of the Basic Traits Inventory into Afrikaans and Indigenous African languages, the development of a shortened version of the Basic Traits Inventory, as well as studies investigating the convergent and divergent validity of the inventory. In conclusion, on the basis of the encouraging results, it seems that it would be worthwhile to continue the development of the Basic Traits Inventory.

We review the current state of the science with respect to the assessment of the Five Factor Model (FFM), a robust structural model of personality that emerged from two distinct traditions: The lexical and questionnaire traditions. The lexical tradition is predicated on the hypothesis that important individual differences in personality are encoded as single words in language. This bottom-up tradition has suggested that five broad factors account for much of the personality variation observed among individuals: Extraversion (or Surgency), Agreeableness, Conscientiousness (or Dependability), Neuroticism (vs. Emotional Stability), and Openness to Experience (or Intellect/Culture). The questionnaire tradition emphasizes the measurement of similar constructs, largely through top-down development of measures. We examine the strengths and limitations associated with existing measures of the FFM and related models, focusing on measures rooted in the lexical and questionnaire traditions. We also consider maladaptive FFM measures and conclude by analyzing important issues in the FFM assessment literature.

Introduction: We started from Bandura's theory of self-efficacy, the onion model of achievement motivation according to Schuler &amp; Prochaska, and the 5-factor personality theory by Costa &amp; McCrae. The study aimed to analyze the predictive power of achievement motivation and personality traits on general self-efficacyand domain-specific career decision self-efficacy. We expected the more significant relationship of stable personality characteristics with general self-efficacy than with specific-domain career decision self-efficacy. Methods: 690adult participants (university students and working adults) completed a career decision self-efficacy questionnaire,and 268of them a general self-efficacy scale. All participants also fulfilled an achievement motivation questionnaire and afive-factor personality theory questionnaire. Results: All five personality traits, combined with four dimensions of achievement motivation (dominance, confidence in success, self-control, and competitiveness) explain 61% of general self-efficacy variability. Extraversion, agreeableness, andconscientiousness with six achievement motivation dimensions (dominance, engagement, confidence in success, fearlessness, competitiveness, and goal setting) explain 42.5% of career decision self-efficacy variability. Discussion: Stable traits and achievement motivation dimensions had more significant predictive power on general self-efficacy than on domain-specific career decision self-efficacy. For further research, there is a suggestion about a theoretically and empirically integrated model of dispositional and social-cognitive approaches.

The article is devoted to the study of the personality determinants of persons with addictive behavior. The aim of the study is to identify the personality determinants of persons with addictive behavior. Research hypothesis - in persons with addictive behavior, there are differences depending on gender, length of use, the period of being in rehabilitation for certain personality traits. To write the article, empirical methods were used - free observation, analysis of isolated cases, conversation, questionnaires, testing according to the methods: the five-factor personality questionnaire McCrae - Costa ("Big Five"), the Shmishek questionnaire. Methods of statistical processing of empirical data were used to process the research results: comparative analysis of mean values and nonparametric statistical tests Mann-Whitney U and Kruskal-Wallis. The study sample consisted of 20 clients of the rehabilitation center: men and women who use various psychoactive substances, with different experience of using substances and different periods of stay in rehabilitation. The article draws conclusions about the peculiarities of personal determinants in persons with additive behavior.

Synthetic humans are computer-generated characters that are designed to behave like humans for the purpose of training or entertainment. The purpose of this study was to evaluate the perceptions of subjects interacting with synthetic humans to determine their responses to nonverbal behaviors, realism, and character personality. This study was part of a research program to develop a virtual game to train awareness of nonverbal communication for cross-cultural competency (3C). Three synthetic humans were created with different levels of realism with respect to their facial movements and skin textures. Low realism characters were defined as models purchased from the company Evolver, with additional facial action units (FAU) added to the character’s face. High realism characters were created based on a model of a real person’s head using 3D imaging cameras and a digital video camera. The same FAUs available in the Evolver characters were also coded into the high realism character as well as more realistic skin texture. During a virtual scenario the subject was asked to interview three characters in the U.S. Army. The subject interviewed each character one-on-one. The three computer characters included two white males, and one black female. The results of this study showed that it is possible to create synthetic humans that include nonverbal behaviors and personalities that are perceived by subjects, and that the subject’s own personal lens affected how they perceive the character. For example, the character Brent was rated similarly by most subjects with respect to personality traits as defined by the Big Five Factor Model. However, half the subjects indicated they liked him (friendly and confident), while about half the subjects did not like him (too confident as to be arrogant).

Aim/Purpose: This study focuses on the role of personality in online shopping through analyzing its relationship with customer reported shopping outcomes and their satisfaction. Background: Customer satisfaction and outcomes in online shopping have been well-documented. From different perspectives, past research has analysed factors related to customer satisfaction, and to outcomes to a lesser extent. Personality has also been found to be a factor relevant to the intention of online shopping. However, research has seldom investigated the role of personality in customer reported outcomes and their satisfaction with online shopping. Methodology: Quantitative data were obtained through an online questionnaire survey. The survey included questions about respondents’ satisfaction with their general online shopping experience. It also asked respondents to report the perceived outcomes of online shopping in terms of enjoyment, quality, savings, etc. Shoppers reported their personality using questions around Big Five Personality Traits. 384 Chinese living in China completely responded to the survey and were included in this study. Contribution: A research model is established that includes the respondents’ five personality traits, online shopping satisfaction, and outcomes of online shopping. Findings: Structural equation modelling analysis of the model shows that personality has direct relationship with customer satisfaction and their reported outcomes of online shopping, which in term influence shoppers’ future intention to shop online. Specifically, personality of agreement, extraversity, and neurotics are significantly related to online shopping outcomes, while only extraversity is significantly related to their satisfaction. Recommendations for Practitioners: For practitioners who work in online shopping, this study may help them understand how customers satisfaction is predetermined by their personality traits. Recommendation for Researchers: Researchers may find ways to help individuals understand and control consumers' personal behavior in online shopping. Impact on Society: This study may bring awareness of the importance of understanding personality traits for business and consumers in online shopping. Future Research: Future research may find ways to have influence on both business through their online consumer interface and on consumers through their behavior control.