Tracing the Big Five in parents' free descriptions of their children

1995 ◽  
Vol 9 (4) ◽  
pp. 283-304 ◽  
Author(s):  
Geldolph A. Kohnstamm ◽  
Ivan Mervielde ◽  
Elias Besevegis ◽  
Charles F. Halverson
Keyword(s):  
Rating Scales ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Second Phase ◽  
Personality Psychology ◽  
Coding Scheme ◽  
Adult Personality ◽  
Interesting Culture ◽  
The Usa

Because of the impressive replicability of the Five‐Factor Model (FFM) in adult personality psychology, developmental psychologists have recently begun a search for the antecedents of these five adult dimensions in childhood. The FFM originates in rating scales applied to ‘personality words’, notably adjectives, selected from dictionaries. To test the explanatory power of the FFM as a model for individual differences in childhood, we used a different source for the lexicon of personality. Parents of children aged 3, 6, 9, and 12 years were asked simply ‘to describe your child’. The audiotaped interviews were transcribed literally and then coded using an elaborate coding scheme. We here describe data from three of the countries involved in this cross‐cultural project (Holland, Belgium, and Greece). The data are the results of coding free descriptions for a total of 186 3‐year‐olds and 229 9‐year‐olds. These data represent the first phase of a four‐phase project that includes researchers from The Netherlands, Belgium, Greece, Poland, Germany, the USA, and China. Results from this first phase were very similar over the participating countries although there were some interesting culture‐specific differences. In the second phase, questionnaire items based on the free descriptors in each category of the coding scheme will be written by the research teams. Such items will be rated by new samples of parents. Factor analyses will reduce the item pool to about one hundred items. These will then be given to new samples of parents of children of the ages indicated above. In the last phase, the factor structures will be compared across cultures and be analysed for their resemblance to the FFM, as well as other models of the structure of temperament and personality in childhood.

scholarly journals Ιεραρχική Δομή της Αναπτυσσόμενης Προσωπικότητας: Μια Σειρά Ερωτηματολογίων για την Αξιολόγηση των Ατομικών Διαφορών από την Προσχολική Ηλικία ως την Προεφηβεία

2020 ◽  
Vol 23 (1) ◽  
pp. 108
Author(s):  
Ηλίας Μπεζεβέγκης ◽  
Βασίλης Παυλόπουλος
Keyword(s):  
Factor Model ◽  
Five Factor Model ◽  
Psychometric Evaluation ◽  
Personality Characteristics ◽  
Underlying Structure ◽  
Coding Scheme ◽  
Adult Personality ◽  
Child Personality ◽  
The Hierarchical Structure ◽  
Parental Ratings

This article presents data on the construction and the hierarchical structure of a series of personality questionnaires for the assessment of child temperament and personality characteristics by parents. In the first phase, free parental descriptions of child personality were collected and classified using a 14-category coding scheme. Then, 100 clusters of conceptually similar descriptors were created within the initial 14 categories. One or two representative items were selected from each cluster to form four trait lists, for children aged 2-4, 5-6, 9-10, and 11-13 years. These preliminary questionnaire versions were administered to 1,817 parents who evaluated their children’s personality characteristics. The underlying structure of parental ratings was examined by applying principal components analyses. This resulted in 4 (3-year-olds) to 5 (6-, 9-, and 12-year-olds) factors and in 12 (3-year-olds) to 15 (6-, 9-, and 12-year-olds) facets of child personality. Alpha coefficients ranged between .76-.96 for the factors, and between .61-.91 for the facets. In their final form, after a psychometric evaluation of their content, the four Questionnaires “Personality Dimensions of Children and Adolescents” (Q-PeDiCA) consist of 92 (3-year-olds), 106 (6-year-olds), 121 (9-year-olds), and 99 (12-year-olds) items, respectively. Several dimensions of the wellknown temperament models are included in the new questionnaires. Moreover, the developmental precursors and deviations from the five-factor model of the adult personality are discussed.

scholarly journals Choosing Factors for the Vietnamese Stock Market

2021 ◽  
Vol 14 (3) ◽  
pp. 96
Author(s):  
Nina Ryan ◽  
Xinfeng Ruan ◽  
Jin E. Zhang ◽  
Jing A. Zhang
Keyword(s):  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Marginal Contribution ◽  
Return On Equity ◽  
Factor Modeling ◽  
Three Factor ◽  
Better Than

In this paper, we test the applicability of different Fama–French (FF) factor models in Vietnam, we investigate the value factor redundancy and examine the choice of the profitability factor. Our empirical evidence shows that the FF five-factor model has more explanatory power than the FF three-factor model. The value factor remains important after the inclusion of profitability and investment factors. Operating profitability performs better than cash and return-on-equity (ROE) profitability as a proxy for the profitability factor in FF factor modeling. The value factor and operating profitability have the biggest marginal contribution to a maximum squared Sharpe ratio for the five-factor model factors, highlighting the value factor (HML) non-redundancy in describing stock returns in Vietnam.

Old Wine in New Bottles? The Case of Self–Compassion and Neuroticism

2017 ◽  
Vol 31 (2) ◽  
pp. 160-169 ◽  
Author(s):  
Christian Kandler ◽  
Stefan Pfattheicher ◽  
Mattis Geiger ◽  
Johanna Hartung ◽  
Selina Weiss ◽  
...  
Keyword(s):  
Life Satisfaction ◽  
Factor Model ◽  
Five Factor Model ◽  
Confirmatory Factor Analyses ◽  
Personality Psychology ◽  
Self Compassion ◽  
Negative Factor ◽  
Confirmatory Factor ◽  
Compassion Scale ◽  
Positive Factor

Research on self–compassion, which is defined as being understanding and kind to oneself when confronted with negative experiences, has produced an impressive number of articles in recent years. This research shows that individual differences in self–compassion, as measured by the Self–Compassion Scale (SCS), are positively related to life satisfaction, health and social functioning. However, a critical and systematic test of self–compassion from a personality perspective has not yet conducted so far. In the present study ( N = 576), we (i) tested the factor structure of the SCS, (ii) examined the distinctiveness of self–compassion with regard to the five–factor model of personality, focusing on neuroticism, and (iii) tested the incremental predictive power of self–compassion beyond the five–factor model in the context of life satisfaction. Confirmatory factor analyses supported a two–factor plus six facets solution of self–compassion (a positive factor and a negative factor). Additional analyses revealed that the negative factor was redundant with facets of neuroticism ( rs ≥ .85), whereas the positive factor had some unique variance left. However, neither the negative factor nor the positive factor could explain substantial incremental variance in life satisfaction beyond neuroticism. Recommendations for how to use the SCS are provided, and the future of research on self–compassion is discussed. Copyright © 2017 European Association of Personality Psychology

Collaboration strategies for a transition economy: measuring culture in Albania

2014 ◽  
Vol 21 (1) ◽  
pp. 78-103 ◽  
Author(s):  
Narasimha Rao Vajjhala ◽  
Kenneth David Strang
Keyword(s):  
Nonprofit Organizations ◽  
National Culture ◽  
Transition Economy ◽  
Factor Model ◽  
Five Factor Model ◽  
Content Type ◽  
Foreign Government ◽  
Norms And Values ◽  
The Usa ◽  
Private Corporations

Purpose – The researchers in this study reviewed the literature to locate the most relevant multicultural theories, factors, and instruments in order to measure Albania's national culture. The paper aims to discuss these issues. Design/methodology/approach – An innovative combination of exploratory and confirmatory factor analysis was used to fit the multicultural construct to the sample data and then estimate the national culture (n=73). The multicultural indexes were calculated for five generally accepted national culture factors to compare with the benchmarks published in the literature. Findings – The multicultural indexes were calculated for five generally accepted national culture factors to compare with the benchmarks published in the literature. An asymmetric plot was created for critical comparison of Albania with five other theoretically selected countries, using the indexes for PDi, ICi, MFi, UAi, and LTi. Albania was found to be most similar to its Balkan and Turkish neighbors, as compared with Asian or Western cultures such as that of the USA. Research limitations/implications – The researchers discussed the implications of knowing Albania's national culture profile with reference to how other countries might collaborate and transact with this emerging transition economy. Practical implications – From a business standpoint, the multicultural indexes for Albania provide general indicators of the national beliefs, norms and values, which foreign organizations may compare to their own cultural profile when interacting with professionals in this country. The best use for such indexes is for benchmarking and comparison. Foreign government, private corporations, or nonprofit organizations may compare their own culture profile with that of Albania to be aware of the similarities and differences. Originality/value – Albanian national culture was estimated for the first time in the literature, using a five-factor model adapted from the work of Hofstede.

scholarly journals The Fama-French Five-Factor Model Plus Momentum: Evidence for the German Market

2020 ◽  
Vol 72 (4) ◽  
pp. 661-684 ◽  
Author(s):  
Philipp Dirkx ◽  
Franziska J. Peter
Keyword(s):  
Asset Pricing ◽  
Preliminary Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Market Size ◽  
German Market ◽  
Monthly Data ◽  
Factors Associated ◽  
Country Specific

Abstract We implement the Fama-French five-factor model and enhance it with a momentum factor for the German market using recent monthly data from 2002 to 2019. We construct the factors associated with the market, size, value, profitability, investment, and momentum for the CDAX constituents and examine to what extent this six-factor model captures the return premia in the German market. Our preliminary analysis does not document any significant evidence on the profitability or investment premium. The results on the six-factor model compared with the three-factor model reveal that the additional factors do not add significant explanatory power to the analysis. We conclude that the relevance of the profitability and investment factors within the context of international asset pricing studies cannot be transferred to the country- specific case of the German market.

scholarly journals Analysis of the Spanish IBEX-35 Companies’ Returns Using Extensions of the Fama and French Factor Models

Symmetry ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 295 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Laura Munera
Keyword(s):  
Interest Rates ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Factor Models ◽  
Final Conclusion ◽  
Economic Cycle ◽  
Explanatory Factors ◽  
Nominal Interest Rates ◽  
Fama And French

This paper studies in depth the sensitivity of Spanish companies’ returns to changes in several risk factors between January 2000 and December 2018 using the quantile regression approach. Concretely, this research applies extensions of the Fama and French three- and five-factor models (1993 and 2015), according to González and Jareño (2019), adding relevant explanatory factors, such as nominal interest rates, the Carhart (1997) risk factor for momentum and for momentum reversal and the Pastor and Stambaugh (2003) traded liquidity factor. Additionally, for robustness, this paper splits the entire sample period into three sub-sample periods (pre-crisis, crisis and post-crisis) to analyse the results according to the economic cycle. The main conclusions of this paper are fourfold: First, these two models have the greatest explanatory power in the extreme quantiles of the return distribution (0.1 and 0.9) and more specifically in the lowest quantile 0.1. Second, the second model, based on the Fama and French five-factor model, shows the highest explanatory power not only in the full period but also in the three sub-periods. Third, the bank BBVA is the company that shows the highest sensitivity to changes in the explanatory factors in most periods because its adjusted R2 is the highest. Fourth, the stage of the economy with the highest explanatory power is the crisis subperiod. Thus, the final conclusion of this paper is that the second model explains best variations in Spanish companies’ returns in crisis stages and low quantiles.

scholarly journals Interest rate sensitivity of spanish companies. An extension of the Fama-French five-factor model

2018 ◽  
Vol 68 (4) ◽  
pp. 617-638 ◽  
Author(s):  
Francisco Jareño ◽  
María de la O González ◽  
Marta Tolentino ◽  
Sara Rodríguez
Keyword(s):  
Interest Rates ◽  
Stock Returns ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Power ◽  
Rate Sensitivity ◽  
Share Prices ◽  
Explanatory Variables ◽  
Fama And French ◽  
Recent Financial Crisis

This paper studies the sensitivity of share prices of Spanish companies included in the IBEX-35 to changes in different explanatory variables, such as market returns, interest rates and factors proposed by Fama and French (1993, 2015) between 2000 and 2016. In addition, for robustness, this paper analyses whether the sensitivity of stock returns is different between two periods: precrisis and recent financial crisis. The results confirm that, in general, all the considered factors are relevant. Furthermore, “market return” and “size” factors show greater explanatory power, together with the “value” factor in the crisis period. Regarding the analysis at sector level, “Oil and Energy”, “Basic Materials, Industry and Construction” and “Financial and Real Estate Services” sectors appear to be highly sensitive to changes in the risk factors included in the asset pricing factor model.

Identifying gifted students in Puerto Rico

2013 ◽  
Vol 31 (2) ◽  
pp. 162-175 ◽  
Author(s):  
Javier I Rosado ◽  
Steven Pfeiffer ◽  
Yaacov Petscher
Keyword(s):  
Puerto Rico ◽  
Puerto Rican ◽  
Rating Scales ◽  
Factor Model ◽  
Gifted Students ◽  
Reliability And Validity ◽  
Critical Issue ◽  
Verbal Test ◽  
The Usa ◽  
Puerto Rican Students

The challenge of correctly identifying gifted students is a critical issue. Gifted education in Puerto Rico is marked by insufficient support and a lack of appropriate identification methods. This study examined the reliability and validity of a Spanish translation of the Gifted Rating Scales-School Form (GRS) with a sample of 618 island-residing Puerto Rican students. Alpha values for the Spanish-translated version ranged from 0.98 to 0.99, comparable to those reported for the USA standardization sample. Scores on the Spanish-translated GRS correlated positively and significantly with classroom grades, Naglieri Non-verbal Test of Intelligence (NNAT) scores and with the island’s local norm-referenced achievement test. Confirmatory factor analysis supported the six-factor model. Overall, findings provide evidence supporting the use of a Spanish-translated GRS for Puerto Rican island students.

Childhood antecedents of personality disorder: An alternative perspective

2009 ◽  
Vol 21 (3) ◽  
pp. 771-791 ◽  
Author(s):  
Thomas A. Widiger ◽  
Barbara De Clercq ◽  
Filip De Fruyt
Keyword(s):  
Personality Disorder ◽  
Personality Disorders ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Structure ◽  
Childhood And Adolescence ◽  
Adult Personality ◽  
Dsm Iv ◽  
Childhood Antecedents

AbstractOne of the fundamental limitations of theDiagnostic and Statistical Manual of Mental Disorders—Fourth Edition, Text Revision(DSM-IV-TR) categorical model of personality disorder classification has been the lack of a strong scientific foundation, including an understanding of childhood antecedents. TheDSM-IV-TRpersonality disorders, however, do appear to be well understood as maladaptive variants of the domains and facets of the general personality structure as conceptualized within the five-factor model (FFM). Integrating the classification of personality disorder with the FFM brings to an understanding of the personality disorders a considerable body of scientific research on childhood antecedents. The temperaments and traits of childhood do appear to be antecedent to the FFM of adult personality structure, and these temperament and traits of childhood and adolescence are the likely antecedents for adult personality disorder, providing further support for the conceptualization of the adult personality disorders as maladaptive variants of the domains and facets of the FFM. Conceptualizing personality disorders in terms of the FFM thereby provides a basis for integrating the classification of abnormal and normal personality functioning across the life span.

scholarly journals Age Differences in the Variance of Personality Characteristics

2016 ◽  
Vol 30 (1) ◽  
pp. 4-11 ◽  
Author(s):  
René Mõttus ◽  
Jüri Allik ◽  
Martina Hřebíčková ◽  
Liisi Kööts–Ausmees ◽  
Anu Realo
Keyword(s):  
Individual Differences ◽  
Age Differences ◽  
Factor Model ◽  
Five Factor Model ◽  
Personality Development ◽  
Personality Characteristics ◽  
Group Differences ◽  
Age Group ◽  
Personality Psychology ◽  
Model Domain

In contrast to mean–level comparisons, age group differences in personality trait variance have received only passing research interest. This may seem surprising because individual differences in personality characteristics are exactly what most of personality psychology is about. Because different proposed mechanisms of personality development may entail either increases or decreases in variance over time, the current study is exploratory in nature. Age differences in variance were tested by comparing the standard deviations of the five–factor model domain and facet scales across two age groups (20 to 30 years old versus 50 to 60 years old). Samples from three cultures (Estonia, the Czech Republic and Russia) were employed, and two methods (self–reports and informant–reports) were used. The results showed modest convergence across samples and methods. Age group differences were significant for 11 of 150 facet–level comparisons but never consistently for the same facets. No significant age group differences were observed for the five–factor model domain variance. Therefore, there is little evidence for individual differences in personality characteristics being systematically smaller or larger in older as opposed to younger people. We discuss the implications of these findings for understanding personality development. Copyright © 2015 European Association of Personality Psychology

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