DEVELOPMENT OF A CHINESE VERSION OF THE ZUCKERMAN-KUHLMAN PERSONALITY QUESTIONNAIRE: RELIABILITIES AND GENDER/AGE EFFECTS

2000 ◽  
Vol 28 (3) ◽  
pp. 241-250 ◽  
Author(s):  
Yi -Xiao Wu ◽  
Wei Wang ◽  
Wu -Ying Du ◽  
Jing Li ◽  
Xiao-Fe n g Jiang ◽  
...  
Keyword(s):  
Sensation Seeking ◽  
Chinese Culture ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
The United States ◽  
Personality Questionnaire ◽  
Wide Range ◽  
Scale Scores ◽  
And Gender

A five-factor model of the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ) was tried in a Chinese speaking area. Three hundred and thirty-three healthy subjects (217 women and 116 men) with a wide range of occupations attended this study and were divided into 5 age ranges. They were free of depression and answered with low dissimulation in ZKPQ. The principal component analysis detected 16 factors with eigenvalues larger than 1.5, the first 5 of which accounted for 21.0% of the variance. The five-factor solution analysis was, therefore, performed. The alpha internal reliabilities of the five personality scales ranged from 0.61 to 0.81. Sixty-one out of 89 items loaded larger than, or equal to, 0.3 on target factors. Scale scores were comparable to those reported in the United States, and the intercorrelations between five personality scales were lower. Gender and education level had little effect on the personality measures; the Impulsive Sensation Seeking declined with age only from 20 years on, in women. This study demonstrates the validity of the ZKPQ in Chinese culture.

Psychometric Properties of the Romanian Version of the Zuckerman-Kuhlman Personality Questionnaire

2013 ◽  
Vol 29 (4) ◽  
pp. 241-252 ◽  
Author(s):  
Paul Sârbescu ◽  
Alexandra Neguţ
Keyword(s):  
Psychometric Properties ◽  
Factor Model ◽  
Five Factor Model ◽  
Independent Study ◽  
Personality Questionnaire ◽  
Divergent Validity ◽  
Factor Level ◽  
Convergent And Divergent Validity ◽  
And Gender ◽  
Personality Models

This research investigated the psychometric properties and the convergent and divergent validity of the Romanian version of the Zuckerman-Kuhlman Personality Questionnaire (ZKPQ) at the factor-level. The ZKPQ assesses the five basic factors of Zuckerman’s alternative five-factor model (AFFM). Study 1 (n = 449) assessed the psychometric properties of the Romanian version of the ZKPQ and verified its factorial structure. The factors reliability ranged from .69 to .88, and gender differences were similar to those found in the Spanish, French, and Chinese samples. Exploratory factor analysis supported the replicability of the original five-factor structure, and correlations between the scales showed that the five basic factors of the AFFM are relatively independent. Study 2 (n = 238) verified the convergent and divergent validity of the Romanian version of the ZKPQ, by testing its links with DECAS, a personality inventory based on the five-factor model, developed and well-validated on the Romanian population. The results showed good convergent and divergent validity, with all identified correlations supporting the correspondence between the two personality models. Overall, the present findings showed that the Romanian version of the ZKPQ is a valid tool for assessing personality traits according to the AFFM.

Psychometric Properties of the Zuckerman-Kuhlman Personality Questionnaire in a Spanish Sample

2004 ◽  
Vol 20 (2) ◽  
pp. 134-146 ◽  
Author(s):  
Montserrat Gomà-i-Freixanet ◽  
Sergi Valero ◽  
Joaquim Puntí ◽  
Marvin Zuckerman
Keyword(s):  
Psychometric Properties ◽  
Sensation Seeking ◽  
Discriminant Validity ◽  
Factor Model ◽  
Five Factor Model ◽  
Total Sample ◽  
Personality Questionnaire ◽  
Component Structure ◽  
Good Internal Consistency ◽  
Age Range

An important question in trait theory is how many major traits are necessary to describe personality and exactly what traits these are. Several investigators have made attempts to answer these questions with solutions of 3, 5, and even 16 primary factors. The Zuckerman-Kuhlman Personality Questionnaire (ZKPQ) is a questionnaire aimed at the evaluation of a five-factor model, which emerged from factor analyses of scales and items. The results were five basic factors, similar in men and women: Neuroticism-Anxiety, Activity, Sociability, Impulsive Sensation-Seeking, and Aggression-Hostility. This study assesses the psychometric properties of the Catalan translation of the ZKPQ. The ZKPQ was administered to a total sample of 933 subjects with an age range from 17 to 25 years. The results obtained show good internal consistency of all the scales and good discriminant validity shown by the lack of correlation among scales. Gender differences are also in the predicted directions. Finally, the replicability of the original five-component structure was also demonstrated. The present findings show this Catalan version to be a reliable tool for research in the field of personality structure and demonstrate the cross-cultural reliability of the factor structure developed from American subjects.

Age and Gender Invariance in the Taiwan Wechsler Intelligence Scale for Children, Fifth Edition: Higher Order Five-Factor Model

2020 ◽  
Vol 38 (8) ◽  
pp. 1033-1045 ◽  
Author(s):  
Hsinyi Chen ◽  
Jianjun Zhu ◽  
Yung-Kun Liao ◽  
Timothy Z. Keith
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
The United States ◽  
Higher Order ◽  
Factorial Invariance ◽  
Age And Gender ◽  
Intelligence Scale ◽  
Gender Invariance ◽  
And Gender ◽  
Full Factorial

This study investigated the factorial invariance of the Taiwan Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) across age and gender. A higher order five-factor model was tested on a nationally representative sample of 1,034 children aged 6–16 years. The results demonstrated full factorial invariance for Taiwan children of different ages and gender. The WISC-V subtests demonstrated the same underlying theoretical latent constructs, strength of relations among factors and subtests, validity of each first-order factor, and communalities, regardless of age and gender, which supported the same interpretive approach of the WISC-V. These results accord with findings in the United States, indicating a full factorial invariance of the WISC-V five-factor structure across ages and gender.

A psychologically-inspired fuzzy-based approach for user personality prediction in rumor propagation across social networks

2021 ◽  
pp. 1-15
Author(s):  
V. Indu ◽  
Sabu M. Thampi
Keyword(s):  
Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Common People ◽  
Rumor Propagation ◽  
Usage Patterns ◽  
User Personality ◽  
Personality Prediction ◽  
High Degree

Social networks have emerged as a fertile ground for the spread of rumors and misinformation in recent times. The increased rate of social networking owes to the popularity of social networks among the common people and user personality has been considered as a principal component in predicting individuals’ social media usage patterns. Several studies have been conducted to study the psychological factors influencing the social network usage of people but only a few works have explored the relationship between the user’s personality and their orientation to spread rumors. This research aims to investigate the effect of personality on rumor spread on social networks. In this work, we propose a psychologically-inspired fuzzy-based approach grounded on the Five-Factor Model of behavioral theory to analyze the behavior of people who are highly involved in rumor diffusion and categorize users into the susceptible and resistant group, based on their inclination towards rumor sharing. We conducted our experiments in almost 825 individuals who shared rumor tweets on Twitter related to five different events. Our study ratifies the truth that the personality traits of individuals play a significant role in rumor dissemination and the experimental results prove that users exhibiting a high degree of agreeableness trait are more engaged in rumor sharing activities and the users high in extraversion and openness trait restrain themselves from rumor propagation.

scholarly journals A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. A. Camilleri ◽  
S. B. Eickhoff ◽  
S. Weis ◽  
J. Chen ◽  
J. Amunts ◽  
...  
Keyword(s):  
Machine Learning ◽  
Executive Function ◽  
Executive Functioning ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Function System ◽  
Learning Approach ◽  
Psychometric Data ◽  
Machine Learning Approach

AbstractWhile a replicability crisis has shaken psychological sciences, the replicability of multivariate approaches for psychometric data factorization has received little attention. In particular, Exploratory Factor Analysis (EFA) is frequently promoted as the gold standard in psychological sciences. However, the application of EFA to executive functioning, a core concept in psychology and cognitive neuroscience, has led to divergent conceptual models. This heterogeneity severely limits the generalizability and replicability of findings. To tackle this issue, in this study, we propose to capitalize on a machine learning approach, OPNMF (Orthonormal Projective Non-Negative Factorization), and leverage internal cross-validation to promote generalizability to an independent dataset. We examined its application on the scores of 334 adults at the Delis–Kaplan Executive Function System (D-KEFS), while comparing to standard EFA and Principal Component Analysis (PCA). We further evaluated the replicability of the derived factorization across specific gender and age subsamples. Overall, OPNMF and PCA both converge towards a two-factor model as the best data-fit model. The derived factorization suggests a division between low-level and high-level executive functioning measures, a model further supported in subsamples. In contrast, EFA, highlighted a five-factor model which reflects the segregation of the D-KEFS battery into its main tasks while still clustering higher-level tasks together. However, this model was poorly supported in the subsamples. Thus, the parsimonious two-factors model revealed by OPNMF encompasses the more complex factorization yielded by EFA while enjoying higher generalizability. Hence, OPNMF provides a conceptually meaningful, technically robust, and generalizable factorization for psychometric tools.

scholarly journals Traits and values as predictors of the frequency of everyday behavior: Comparison between models and levels

2018 ◽  
Vol 40 (1) ◽  
pp. 133-153 ◽  
Author(s):  
Ewa Skimina ◽  
Jan Cieciuch ◽  
Włodzimierz Strus
Keyword(s):  
Personality Traits ◽  
Factor Model ◽  
Five Factor Model ◽  
Personal Values ◽  
Derived Categories ◽  
Higher Order ◽  
Behavioral Factors ◽  
Wide Range ◽  
Age Range ◽  
Hexaco Model

AbstractThe aims of this study were to compare (a) personality traits vs personal values, (b) Five-Factor Model (FFM) vs HEXACO model of personality traits, and (c) broad vs narrow personality constructs in terms of their relationship with the frequency of everyday behaviors. These relationships were analyzed at three organizational levels of self-reported behavior: (a) single behavioral acts, (b) behavioral components (empirically derived categories of similar behaviors), and (c) two higher-order factors. The study was conducted on a Polish sample (N = 532, age range 16–72). We found that (a) even the frequencies of single behavioral acts were related to various personality constructs instead of one narrow trait or value, (b) personality traits and personal values were comparable as predictors of a wide range of everyday behaviors, (c) HEXACO correlated with the frequency of behaviors slightly higher than FFM, and (d) narrow and broad personality constructs did not differ substantially as predictors of everyday behavior at the levels of acts and components, but at the level of higher-order behavioral factors, broad personality measures were better predictors than narrow ones.

scholarly journals Internal Consistency and Structural Validity of the Norwegian Translation of the Ten-Item Personality Inventory

2021 ◽  
Vol 12 ◽  
Author(s):  
Mikkel Magnus Thørrisen ◽  
Talieh Sadeghi ◽  
Jannecke Wiers-Jenssen
Keyword(s):  
Psychometric Properties ◽  
Internal Consistency ◽  
Factor Model ◽  
Rank Order ◽  
Five Factor Model ◽  
Principal Component ◽  
Cross Sectional Study ◽  
Personality Inventory ◽  
Structural Validity ◽  
Cross Sectional

Background: The Ten-Item Personality Inventory (TIPI) is a validated brief instrument measuring the five-factor model (FFM) personality dimensions, developed for instances where more comprehensive FFM instruments are impractical to use. The TIPI has been translated into several languages, but psychometric properties of the Norwegian version (N-TIPI) have not been systematically explored.Objectives: This study aimed to explore the psychometric properties of the N-TIPI, in terms of internal consistency and structural validity.Methods: In a cross-sectional study, responses on the N-TIPI were collected from 5,009 Norwegian master graduates. Descriptive statistics for the subscales and correlations between subscales were calculated. Internal consistency was assessed with inter-item correlations, Cronbach’s α and Spearman-Brown coefficients. Structural validity was explored with principal component analysis, parallel analysis, and visual scree plot inspection. Results for the N-TIPI were compared with those previously reported for the original TIPI as well as the German, French, Spanish, and Portuguese versions.Results: Compared with the original and non-English versions of TIPI, results for N-TIPI showed comparable subscale rank order of means, standard deviations, and pattern of correlations between subscales, as well as inter-item correlations and Cronbach’s α. The 10 N-TIPI items were adequately reduced to five components, theoretically corresponding with the FFM personality domains.Conclusion: The N-TIPI demonstrated acceptable internal consistency and satisfactory structural validity. Although further research is warranted, the instrument stands out as feasible when it is essential to minimize participants’ response burden in studies that aim to explore personality as one among several concepts or utilize personality traits as covariates.

How do personality traits affect communication among users in online social networks?

2014 ◽  
Vol 38 (1) ◽  
pp. 136-153 ◽  
Author(s):  
Jose Maria Balmaceda ◽  
Silvia Schiaffino ◽  
Daniela Godoy
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Personality Traits ◽  
Online Social Networks ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Dimensions ◽  
Content Type ◽  
Wide Range ◽  
Similarity Attraction

Purpose – The purpose of this work is to analyse the relationships between the personality traits of linked users in online social networks. First the authors tried to discover relation patterns between personality dimensions in conversations. They also wanted to verify some hypotheses: whether users' personality is stable throughout different conversation threads and whether the similarity-attraction paradigm can be verified in this context. They used the five factor model of personality or Big Five, which has been widely studied in psychology. Design/methodology/approach – One of the approaches to detect users' personalities is by analysing the language they use when they talk to others. Based on this assumption the authors computed users' personality from the conversations extracted from the MySpace social network. Then the authors analysed the relationships among personality traits of users to discover patterns. Findings – The authors found that there are patterns between some personality dimensions in conversation threads, for example, agreeable people tend to communicate with extroverted people. They confirmed that the personality stability theory can be verified in social networks. Finally the authors could verify the similarity-attraction paradigm for some values of personality traits, such as extroversion, agreeableness, and openness to experience. Originality/value – The results the authors found provide some clues about how people communicate within online social networks, particularly who they tend to communicate with depending on their personality. The discovered patterns can be used in a wide range of applications, such as suggesting contacts in online social networks. Although some studies have been made regarding the role of personality in social media, no similar analysis has been done to evaluate how users communicate in social media considering their personality.

scholarly journals Change in Five-Factor Model Personality Traits During the Acute Phase of the Coronavirus Pandemic

2020 ◽  
Author(s):  
Angelina Sutin ◽  
Martina Luchetti ◽  
Damaris Aschwanden ◽  
Ji Hyun Lee ◽  
Amanda A Sesker ◽  
...  
Keyword(s):  
United States ◽  
Personality Traits ◽  
Acute Phase ◽  
Factor Model ◽  
Five Factor Model ◽  
The United States ◽  
Anxiety And Depression ◽  
Psychological Function ◽  
Rapid Spread

The rapid spread of the coronavirus and the strategies to slow it have disrupted just about every aspect of our lives. Such disruption may be reflected in changes in psychological function. The present study used a pre-posttest design to test whether Five Factor Model personality traits changed with the coronavirus outbreak in the United States. Participants (N=2,137) were tested in early February 2020 and again during the President’s 15 Days to Slow the Spread guidelines. In contrast to the preregistered hypotheses, Neuroticism decreased across these six weeks, particularly the facets of Anxiety and Depression, and Conscientiousness did not change. Exploratory analyses indicated that quarantine/isolation status moderated change such that Neuroticism only decreased for those not in quarantine, whereas Openness, Agreeableness, and Conscientiousness declined for participants in quarantine. The present research suggests modest changes in personality traits across the acute phase of the coronavirus outbreak.

Sign in / Sign up

Export Citation Format

Share Document