scholarly journals Self-Esteem and Locus of Causality as Vulnerability Factors for the Development of Actual/Ideal Self-Discrepancies in Late Childhood

2017 ◽  
Vol 26 (1) ◽  
pp. 241-259
Author(s):  
Lisa Di Blas ◽  
Annunziata Cepollaro
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Principal Component ◽  
Well Being ◽  
Self Esteem ◽  
Repeated Measure ◽  
Late Childhood ◽  
Ideal Self ◽  
Locus Of Causality ◽  
Perceived Locus Of Control

Self-discrepancies influence psychological well-being and self-acceptance across several domains. Middle to late childhood is a critical age for the development of self-discrepancies (SD). The present study was aimed at investigating antecedents of actual/ideal self-discrepancies in 9- to 11-year-old children by adopting a repeated measure design, with two measurement occasions. At the baseline (T1), children (N=261) completed a self-esteem questionnaire, a measure of actual/ideal SDs we developed around the Five Factor Model domains, and the Strengths and Difficulties Questionnaire; 4 months later (T2) a subsample (N=96) provided self-ratings again. Children's parents (N=195) referred on their own feelings towards their children along the Profile of Mood States as well as on their perceived locus of control of their children's undesirable behaviors; a subsample of parents (N=80) provided ratings again 4 months later. Principal component analyses from children's self-discrepancies at T1 yielded four domains: Intellect, Emotional Stability, Impulse Control, and Sociability. Self-rated discrepancies across time were moderately stable. Concurrently, higher SDs in Intellect were associated with lower children's self-esteem. Cross-lagged pattern analyses showed that lower self-esteem predicted increases in children's SDs, but not vice versa; in addition, change levels in SDs were correlated with change levels in self-esteem. Parents' perceived internal locus of causality of their children's undesirable behaviors also accounted for changes in children's SDs. Parents' feelings of depression accounted for increases in girls' SDs. The present findings further support the association between self-esteem and SDs, indicate the direction of association across time, and suggest possible mechanisms by which parents affect the development of the children's self-views.

scholarly journals World Trade Center Exposure and Posttraumatic Growth: Assessing Positive Psychological Change 15 Years after 9/11

2020 ◽  
Vol 18 (1) ◽  
pp. 104
Author(s):  
Cristina D. Pollari ◽  
Jennifer Brite ◽  
Robert M. Brackbill ◽  
Lisa M. Gargano ◽  
Shane W. Adams ◽  
...  
Keyword(s):  
Posttraumatic Growth ◽  
Factor Structure ◽  
Factor Model ◽  
Five Factor Model ◽  
Terrorist Attack ◽  
Principal Component ◽  
Well Being ◽  
Exposure Level ◽  
Linear Regression Models ◽  
Very High

We evaluated the presence of posttraumatic growth (PTG) among survivors of the 9/11 terrorist attack and how indicators of psychosocial well-being, direct 9/11-related exposure, and posttraumatic stress symptoms (PTSS) relate to PTG. PTG was examined among 4934 participants using the Posttraumatic Growth Inventory (PTGI). A confirmatory factor analysis (CFA) was conducted to determine if the original factor structure of the PTGI fits our data and principal component analysis (PCA) to identify the appropriate factor structure. Multivariable linear regression models were used to examine the association between PTG and indicators of psychosocial well-being, 9/11-related exposure, and PTSS, controlling for covariates. CFA identified a two-factor structure of the PTGI as a better fit than the original five-factor model. Participants who experienced very high 9/11-related exposure level (ß = 7.72; 95% CI: 5.75–9.70), higher PTSS at waves 1 (ß = 0.13; 95% CI: 0.08–0.18) and 2 (ß = 0.09; 95% CI: 0.05–0.14), high social integration (ß = 5.71; 95% CI: 4.47, 6.96), greater social support (ß = 0.49; 95% CI: 0.37, 0.61), and higher self-efficacy (ß = 1.26; 95% CI: 1.04, 1.48) had higher PTGI scores. Our findings suggest PTG is present, 15 years following the 9/11 terrorist attack. Very high-level 9/11 exposure, PTSS, and indicators of psychosocial well-being were associated with PTG.

Factorial Invariance of Child Self-Report Across English and Spanish Language Groups in a Hispanic Population Utilizing the PedsQL™ 4.0 Generic Core Scales

2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni
Keyword(s):  
Health Care Services ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Factorial Invariance ◽  
Spanish Language ◽  
Self Report ◽  
Hispanic Population ◽  
Language Groups ◽  
Related Quality

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.

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 Sustainable Development Goals and Investment Strategies: The Profitability of Using Five-Factor Fama-French Alphas

2020 ◽  
Vol 12 (5) ◽  
pp. 1842 ◽  
Author(s):  
José Luis Miralles-Quirós ◽  
María Mar Miralles-Quirós ◽  
José Manuel Nogueira
Keyword(s):  
Sustainable Development ◽  
Sustainable Development Goals ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Good Health ◽  
Investment Strategy ◽  
Investment Strategies ◽  
Responsible Investment ◽  
Development Goals

This study focuses on assets related to Sustainable Development Goals (SDGs), which are the most recent aspect of the Socially Responsible Investment framework and have caught the attention of investors due to their investment opportunities as well as the global challenges that can be achieved. The profitability of developing an investment strategy is shown based on the value of the alphas obtained from the estimation of the Fama-French five-factor model when compared to an equally weighted portfolio, even when transaction costs are taken into consideration. In addition, it is proven that investors should focus their investments on two main SDGs: Good health and well-being (Goal 3) and Industry, innovation and infrastructure (Goal 9).

Relationships between personality and the everyday use of humor

2020 ◽  
Vol 33 (3) ◽  
pp. 361-379
Author(s):  
John B. Nezlek ◽  
Peter L. Derks
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Self Esteem ◽  
The Other ◽  
Multilevel Analyses ◽  
Humor Styles ◽  
Frequency Of Use ◽  
The Everyday

AbstractEach day for two weeks participants described how often they had used four types of humor that day: affiliative, self-enhancing, aggressive, and self-defeating humor. Participants also completed the Humor Styles Questionnaire (HSQ), the Coping with Humor scale (CHS), a measure of the Five Factor Model (FFM) of personality, and the Rosenberg Self-esteem scale (RSE). A series of multilevel analyses (days nested within persons) found that Extraversion was positively related to the frequency of use of all four types of humor, whereas the other factors of the FFM were not related to daily humor use when they were included in analyses with Extraversion. Controlling for the factors of the FFM, self-esteem was negatively related to the daily use of aggressive and self-defeating humor, whereas Coping with Humor was positively related to the daily use of aggressive and self-defeating humor. Although relationships between our measures of the daily use of humor and the FFM, CHS, and RSE were similar to relationships between the HSQ and these measures, there were enough differences to suggest that our daily measures of humor provided insights into the use of humor that complemented and extended the insights provided by dispositional measures such as the HSQ.

scholarly journals Assessment of Implicit Self-Esteem in Older Adults: The Role of Actual and Ideal Self-Esteem in Negative Mood

Assessment ◽  
2017 ◽  
Vol 25 (3) ◽  
pp. 302-309
Author(s):  
Ineke Demeyer ◽  
Nuria Romero ◽  
Rudi De Raedt
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Emotional Disorders ◽  
Negative Mood ◽  
Well Being ◽  
Self Esteem ◽  
Ideal Self ◽  
Reliable Measure ◽  
Age Appropriate

The interplay between actual and ideal self-esteem may be a key component in emotional disorders. Since automatic self-evaluations are not always consciously accessible, assessment through implicit measures is necessary. Given the lack of implicit self-esteem measures in late life, we aimed to identify a reliable measure and to clarify the role of actual and ideal self-esteem in mood and depressive symptoms in older adults. Forty-nine older adults completed two adapted Go/No go Association tasks measuring implicit actual and ideal self-esteem and measures of mood and depressive symptoms. The two Go/No go Association tasks showed satisfactory internal consistency. Moderation analyses revealed that lower actual self-esteem in older adults is related to higher levels of sad mood when ideal self-esteem is high. Moreover, lower actual self-esteem is related to more anxious mood. Given the role of self-esteem in emotional well-being, a reliable measure for older adults is crucial to improve age-appropriate diagnostics and treatment.

The Five-Factor Model of Personality, Subjective Well-Being, and Social Adaptation: Generalizability to the Spanish Context

2005 ◽  
Vol 96 (3) ◽  
pp. 863-866 ◽  
Author(s):  
Victor M. Ruiz
Keyword(s):  
General Population ◽  
Undergraduate Students ◽  
Factor Model ◽  
Five Factor Model ◽  
Well Being ◽  
Social Adaptation ◽  
Subjective Well Being ◽  
Clear Pattern ◽  
Population Analyses ◽  
Five Factors

The relationships between the five-factor model of personality, subjective well-being, and social adaptation were examined in two Spanish groups, one of 112 undergraduate students and one of 177 participants from the general population. Analyses showed a clear pattern of low but positive associations among scores on well-being, social adaptation, and four of the five factors of personality (Extraversion, Agreeableness, Conscientiousness, and Emotional Stability), very similar to those obtained by previous research in the American context.

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