scholarly journals The structure of the lexical personality descriptors in Serbian language

Psihologija ◽  
2007 ◽  
Vol 40 (4) ◽  
pp. 485-508 ◽  
Author(s):  
Snezana Smederevac ◽  
Dusanka Mitrovic ◽  
Petar Colovic
Keyword(s):  
Principal Component Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Negative Emotionality ◽  
Latent Structure ◽  
Positive Emotionality ◽  
Negative Valence ◽  
Positive Valence ◽  
Promax Rotation

Two studies, both originating from a larger psycholexical study in Serbian language, are presented here. Two questionnaires, Lexi and PL have been constructed in the psycholexical study. The questionnaires differ by the formulation of their respective items: while the items of the Lexi contain adjectives, the items of the PL are in the form of statements. The first study presented in this paper examines the latent structure of the Lexi questionnaire, while the second one deals with the latent structure of the PL. In both studies, principal component analysis was applied, and the number of components to be retained in the analysis was determined according to the Scree criterion. Also, Promax rotation was applied in both studies. Seven components which were extracted in the first study have been interpreted as Negative Valence, Negative Emotionality, Aggressiveness, Conscientiousness, Positive Emotionality, Positive Valence and Openness to Experience. The content of these dimensions is obviously similar to the dimensions of Tellegen and Waller?s Big Seven model. In the second study, five components were extracted, and interpreted as Sociability, Anxiety, Aggressiveness, Activity and Impulsivity. The content of the dimensions extracted in the second study corresponds with the dimensions of Marvin Zuckerman?s Alternative Five - Factor Model.

scholarly journals Validasi Big Five Inventory-2 (BFI-2) untuk Indonesia: Belum sempurna tetapi valid dan reliabel mengukur kepribadian

2021 ◽  
Author(s):  
Awaludin Ahya ◽  
Ide Bagus Siaputra
Keyword(s):  
Principal Component Analysis ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Big Five ◽  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Big Five Inventory ◽  
Confirmatory Factor ◽  
Bahasa Indonesia

Big Five Inventory-2 (BFI-2) merupakan versi terbaru dari alat ukur kepribadian menurut kerangka teori five factor model. Penelitian ini bertujuan untuk mereplikasi pengujian validitas BFI-2 pada versi Bahasa Indonesia. Uji validitas terkait struktur internal dilakukan menggunakan Principal Component Analysis (PCA) dan Confirmatory Factor Analysis (CFA), sedangkan validitas konvergen melalui korelasi dengan skor BFI-1. Responden adalah 853 mahasiswa dari beberapa Perguruan Tinggi Negeri dan Swasta di Sumatra Utara dan Jawa Timur. Pengumpulan data secara online menggunakan Google Form. Hasil analisis PCA menunjukkan sebanyak 50 butir (83%) BFI-2 versi Indonesia memiliki muatan faktor memadai terhadap dimensi terkait. Hasil analisis CFA pada model level faset memiliki indeks fit yang lebih baik daripada level dimensi, artinya temuan ini mendukung model pengukuran faset pada BFI-2 Indonesia. Kelima dimensi BFI-2 Indonesia memiliki korelasi positif dengan dimensi BFI-1 pada tingkat moderat, sehingga temuan ini menunjukkan bahwa BFI-2 Indonesia terbukti konvergen dengan BFI-1.

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 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.

scholarly journals The Translation and Validation of the Dutch Monash Dog–Owner Relationship Scale (MDORS)

Animals ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 249
Author(s):  
Emmy A.E. van Houtert ◽  
Nienke Endenburg ◽  
Joris J. Wijnker ◽  
T. Bas Rodenburg ◽  
Hein A. van Lith ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Factor Model ◽  
Principal Component ◽  
Component Analysis ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Dutch Translation ◽  
English Speaking ◽  
Translation And Validation ◽  
Three Factor

The Monash Dog–Owner Relationship Scale (MDORS) is a questionnaire that is used to evaluate the perceived relationship between humans and their dog. This questionnaire was originally only formulated and validated in English, which limits its use among non-English speaking individuals. Although a translation could be made, the translation of questionnaires without additional validation often impairs the reliability of that questionnaire. Therefore, the aim of this study was to validate a translation of the MDORS that is suitable for use among native Dutch speakers. To achieve this, a Dutch translation of the MDORS was made and checked for spelling/grammar mistakes, readability, feasibility, and clarity. A test–retest comparison was subsequently performed on the translation together with a calculation of Cronbach’s alpha score and principal component analysis (PCA). Through the PCA, we found that the three-factor model of the original MDORS was also largely present in the Dutch translation. However, deviations were also found, as several questions did not achieve high PCA scores in their original factor. Therefore, we propose that these questions are excluded from the Dutch MDORS.

Post-traumatic headaches correlate with migraine symptoms in youth with concussion

Cephalalgia ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 309-316 ◽  
Author(s):  
Geoffrey L Heyer ◽  
Julie A Young ◽  
Sean C Rose ◽  
Kelly A McNally ◽  
Anastasia N Fischer
Keyword(s):  
Principal Component Analysis ◽  
Neck Pain ◽  
Retrospective Cohort ◽  
Pediatric Patients ◽  
Principal Component ◽  
Component Analysis ◽  
Full Cohort ◽  
Post Traumatic ◽  
The Mean ◽  
Promax Rotation

Objective The term “post-traumatic migraine” (PTM) has been used to describe post-traumatic headaches (PTHs) that have associated migraine features, but studies of this relationship are lacking. The objective of the present study was to determine whether PTH correlates strongly with migraine symptoms among youth with concussion. Methods Twenty-three symptoms were analyzed from a retrospective cohort of 1953 pediatric patients with concussion. A principal component analysis (PCA) with oblique Promax rotation was conducted to explore underlying symptom relationships in the full cohort and in subcohorts stratified by the presence ( n = 414) or absence ( n = 1526) of premorbid headache. Results The mean patient age was 14.1 years; 63% were male. Headache was the most common postconcussion symptom, acknowledged by 69.4% of patients. When considering the full cohort, the PCA demonstrated clustering of headache with photophobia, phonophobia, nausea, dizziness, and neck pain. Similar clustering was present among patients without premorbid headaches. Repeating the analysis in the patients with preconcussion headaches led to elimination of neck pain from the cluster. Conclusions PTH correlates strongly with other migraine symptoms among youth with concussion, regardless of premorbid headaches. This clustering of migraine symptoms supports the existence of PTM as a distinct clinical entity in some patients.

Identifying Barriers to e-Government Services for Citizens in Developing Countries

2011 ◽  
Vol 7 (3) ◽  
pp. 79-91 ◽  
Author(s):  
Subhajyoti Ray
Keyword(s):  
Principal Component Analysis ◽  
Developing Countries ◽  
Developing Country ◽  
Principal Component ◽  
Latent Structure ◽  
Failure Rates ◽  
Critical Factors ◽  
Comprehensive Understanding ◽  
Government Services ◽  
Barriers To Implementation

Although the use of ICT by government has demonstrated its potential in improving government services, worldwide there are more failures than successes of e-Government projects. In the context of developing countries, including India, authors have observed equally high failure rates. Therefore, it is important to understand the barriers to implementation of e-Government, especially in developing countries. This paper develops a comprehensive understanding of barriers to e-Government services for citizens in developing countries. This study was carried out in India, a developing country with a massive commitment to e-Government at policy and implementation levels. Based on variables identified from research, a survey of the key practitioners in e-Government was conducted to generate evidence on perceptions of barriers to e-Government. Even though a relatively small number of responses were received, the responses could be evaluated using principal component analysis to understand the latent structure of the barriers. Finally, 7 critical factors with 30 items are extracted that describe the latent structure of barriers to e-Government in development.

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.

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