Comparison of One-, Two-, and Three-Factor Models of Personal Resiliency Using the Resiliency Scales for Children and Adolescents

2008 ◽  
Vol 23 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Sandra Prince-Embury ◽  
Troy Courville
Keyword(s):  
Children And Adolescents ◽  
Factor Models ◽  
Personal Resiliency ◽  
Three Factor

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.

THE LEVENSON LOCUS OF CONTROL SCALES: CONFIRMATORY FACTOR ANALYSES AND EVALUATION

1997 ◽  
Vol 25 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Paul K. Presson ◽  
Steven C. Clark ◽  
Victor A. Benassi
Keyword(s):  
Locus Of Control ◽  
Factor Structure ◽  
Depressive Symptomatology ◽  
Predictive Ability ◽  
Factor Models ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Three Factor

Confirmatory factor analyses were conducted to test the factor structure of several versions of Levenson's (1973) locus of control scales. Two- and three-factor models based on all 24 of Levenson's items and on 20 of her items were tested. The 3-factor models provided a good fit. Models proposed by R. M. Shewchuk, G. A. Foelker Jr., and G. Niederehe (1990) and R. M. Shewchuk, G. A Foelker Jr., C. J. Camp, and F. Blanchard-Fields (1992) also provided a good fit of the data. In concurrent and prospective tests of the predictive ability of the various models, the 24 and 20 item versions of Levenson's models accounted for a significant amount of variance In depressive symptomatology. The three-factor models revealed that only scores on the chance scale reliably predicted time 2 depressive symptomatology. Neither of the models proposed by Shewchuk and colleagues accounted for a significant amount of variance.

Exploring the Factor Structure of the Social Cognition and Object Relations–Global Rating Method: Support for Two- and Three-Factor Models

2017 ◽  
Vol 100 (2) ◽  
pp. 122-134 ◽  
Author(s):  
Caleb J. Siefert ◽  
Michelle Stein ◽  
Jenelle Slavin-Mulford ◽  
Greg Haggerty ◽  
Samuel J. Sinclair ◽  
...  
Keyword(s):  
Social Cognition ◽  
Object Relations ◽  
Factor Structure ◽  
Factor Models ◽  
Global Rating ◽  
The Social ◽  
Rating Method ◽  
Three Factor

Greek EPQ-J: Further Support for a Three-Factor Model of Personality in Children and Adolescents

2009 ◽  
Vol 28 (3) ◽  
pp. 259-269 ◽  
Author(s):  
Constantinos M. Kokkinos ◽  
Georgia Panayiotou ◽  
Kyriakos Charalambous ◽  
Nafsika Antoniadou ◽  
Aggeliki Davazoglou
Keyword(s):  
Children And Adolescents ◽  
Factor Model ◽  
Three Factor

scholarly journals Resiliency Across Cultures: A Validation of the Resiliency Scale for Young Adults

2017 ◽  
Vol 37 (1) ◽  
pp. 14-25 ◽  
Author(s):  
Claire A. Wilson ◽  
Rachel A. Plouffe ◽  
Donald H. Saklofske ◽  
Annamaria Di Fabio ◽  
Sandra Prince-Embury ◽  
...  
Keyword(s):  
Young Adults ◽  
University Students ◽  
Factor Model ◽  
Cross Cultural ◽  
Personality Variables ◽  
Facet Structure ◽  
Two Samples ◽  
Positive Correlations ◽  
Personal Resiliency ◽  
Three Factor

This study presents a cross-cultural validation of the recently developed Resiliency Scale for Young Adults (RSYA) with a sample of 289 Canadian university students and 259 Italian university students. The RSYA demonstrated good internal consistency across the two samples and acceptable retest reliability for the Canadian sample. Confirmatory factor analysis supported the three-factor, 10-facet structure of the RSYA, and comparison of the two country samples found metric invariance. As expected, positive correlations also emerged between resiliency and trait emotional intelligence in both samples. Finally, correlations with personality variables were explored in both samples. The present findings provide further support for the RSYA as a valid and reliable measure of personal resiliency for both Canadian and Italian young adults, and for the cross-cultural generalizability of the three-factor model of personal resiliency upon which it is based.

Factor Structure of the New Environmental Paradigm Scale: Evidence from an Urban Sample in Southern California

2004 ◽  
Vol 94 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Chang-Ho C. Ji
Keyword(s):  
Factor Structure ◽  
Southern California ◽  
Factor Model ◽  
Factor Models ◽  
Two Factors ◽  
Urban Sample ◽  
Original Scale ◽  
The One ◽  
Three Factor ◽  
New Environmental Paradigm

This study examined the factor structure of the New Environmental Paradigm Scale using responses from 261 urban subjects from southern California. The analysis yielded findings inconsistent with many previous studies of the original scale. This study supported an 8-item two-factor model of the scale rather than the one-factor and three-factor models proposed earlier. A subsequent validation study provides evidence for this short form's validity, as the two factors were predictive of commitment to preservation of nature.

scholarly journals Factors influencing SRI fund performance

2019 ◽  
Vol 3 (1) ◽  
pp. 68-81
Author(s):  
Halil Kiymaz
Keyword(s):  
Regression Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Fund Performance ◽  
Factor Models ◽  
Cross Sectional ◽  
Content Type ◽  
Responsible Investment ◽  
Factors Influencing ◽  
Three Factor

Purpose The purpose of this paper is to examine socially responsible investment (SRI) fund performance and investigate the factors influencing fund performance. Design/methodology/approach The study uses return data from the Morningstar database for 152 SRI funds from January 1995 to May 2015. The initial analysis includes the use of various risk-adjusted performance measures, including Sharpe ratio, Treynor ratio, Information ratio, Sortino ratio and M2. The study also uses four factor models, including Jensen single-factor model, Fama–French three-factor model, Carhart four-factor model and Fama–French five-factor model to explain SRI fund returns. Finally, a cross-sectional regression analysis is applied to investigate the determinants of SRI fund returns. Findings The results show that, on average, the SRI funds provide comparable risk-adjusted returns relative to various benchmark market indices. Market factor is significant in explaining SRI fund returns. Examining each factor model, the results do not support Fama–French’s three-factor model as neither size nor value factor is significant. The author finds weak support for Carhart’s momentum factor along with the market factor. Finally, the Fama–French five-factor model shows market, size and operating profit factors explain SRI fund returns. The study also finds the fund performance is stronger for funds with the higher turnover ratio, the larger fund size and more managerial experience and lower for funds with higher expense ratio. Also, funds formed with negative screening perform better than positive or mixed screened funds. Originality/value SRI funds have received considerable attention from investors. This study contributes to the literature by examining SRI fund performance and investigating factors influencing their performance using multiple factor models and cross-sectional regression analysis. The findings are relevant for investors who demand responsible investment opportunities without sacrificing returns for nonfinancial screenings. Findings also suggest that investors should consider fund characteristics when selecting SRI funds.

scholarly journals Examining the Factor Structure of the Pittsburgh Sleep Quality Index in a Multi-Ethnic Working Population in Singapore

2019 ◽  
Vol 16 (23) ◽  
pp. 4590
Author(s):  
Dunleavy ◽  
Bajpai ◽  
Tonon ◽  
Chua ◽  
Cheung ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Sleep Quality ◽  
Factor Structure ◽  
Quality Index ◽  
Goodness Of Fit ◽  
Pittsburgh Sleep Quality Index ◽  
Factor Model ◽  
Factor Models ◽  
Working Population ◽  
Three Factor

The Pittsburgh Sleep Quality Index (PSQI) is a widely used measure for assessing sleep impairment. Although it was developed as a unidimensional instrument, there is much debate that it contains multidimensional latent constructs. This study aims to investigate the dimensionality of the underlying factor structure of the PSQI in a multi-ethnic working population in Singapore. The PSQI was administered on three occasions (baseline, 3 months and 12 months) to full-time employees participating in a workplace cohort study. Exploratory factor analysis (EFA) investigated the latent factor structure of the scale at each timepoint. Confirmatory factor analysis (CFA) evaluated the model identified by EFA, and additionally evaluated it against a single factor and a three-factor model. The EFA identified a two-factor model with similar internal consistency and goodness-of-fit across each timepoint. In the CFA, the two- and three-factor models were both superior to the unidimensional model. The two- and three-factor models of the PSQI were reliable, consistent and provided similar goodness-of-fit over time, and both models were superior to the unidimensional measure. We recommend using the two-factor model to assess sleep characteristics in working populations in Singapore, given that it performs as well as the three-factor model and is simpler compared to the latter.

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