scholarly journals A Confirmatory Factor Analysis of the “Autoconcepto Forma 5” Questionnaire in Young Adults from Spain and Chile

2011 ◽  
Vol 14 (2) ◽  
pp. 648-658 ◽  
Author(s):  
José Fernando García ◽  
Gonzalo Musitu ◽  
Enrique Riquelme ◽  
Paula Riquelme
Keyword(s):  
Factor Analysis ◽  
Young Adults ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Factor Model ◽  
Factorial Invariance ◽  
Self Concept ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor

The aim of this work is to examine the pentafactorial validity of the AF5 Self-Concept Questionnaire in Spanish and Chilean young adults. From the responses of a total of 4,383 young adults aged 17 to 22 years (1,918 Spanish, 44%, and 2,465 Chilean, 56%) it was analyzed the reliability of the instrument, the compared validity of the 5 oblique factor model proposed by the authors versus the unifactorial and the orthogonal alternative models, and was studied the invariance of one Chilean sample. The results of confirmatory factor analyses supported the authors' pentafactorial model. The multi-group factorial invariance showed that Chilean sample of the AF5 does not change neither the Spanish factor weights, nor the variances and covariances of the factors, or the error variances of items. Finally, the internal consistency of the five scales was good in the samples of both countries.

Dimensionality of burden in Alzheimer caregivers: confirmatory factor analysis and correlates of the Zarit Burden interview

2014 ◽  
Vol 26 (9) ◽  
pp. 1455-1463 ◽  
Author(s):  
Sheung-Tak Cheng ◽  
Timothy Kwok ◽  
Linda C. W. Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Caregiver Burden ◽  
Care Recipient ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

ABSTRACTBackground:To investigate dimensions of caregiver burden through factor analysis of the Zarit Burden Interview (ZBI), and to examine predictors of different dimensions of burden.Methods:Confirmatory factor analyses were performed on 395 Hong Kong Chinese Alzheimer caregivers to examine whether several proposed factor structures fit the data well. Subsequently, participants were split into two roughly equal subsamples, for the purpose of identifying the most optimal factor structure through exploratory factor analysis in Sample A (n = 183) and an independent verification through confirmatory factor analysis in Sample B (n = 212). ZBI subscales representing the established factors were correlated with caregiver and care-recipient variables known to be associated with burden.Results:Confirmatory factor analyses showed that factor models reported elsewhere did not fit the data well. Subsequently, exploratory factor analysis in Sample A suggested a 4-factor structure. After dropping three items due to poor factor loadings, the 4-factor structure was found to fit the data moderately well in Sample B. The four factors tapped personal strain, captivity, self-criticism, and loss of control. However, self-criticism was basically unrelated to the other three factors and showed a rather different pattern of correlations with caregiver and care-recipient variables. Self-criticism was more common among child caregivers and those who did not live with the care-recipient and was less involved in day-to-day care, yet feeling obligated and close to the care-recipient.Conclusions:The dimensions of caregiver burden may be culturally specific. More research is needed to examine cultural considerations in measuring caregiver burden.

Exploratory and Confirmatory Factor Analyses of the Asian American Racism-Related Stress Inventory

Assessment ◽  
2011 ◽  
Vol 19 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Matthew J. Miller ◽  
Jungeun Kim ◽  
Grace A. Chen ◽  
Alvin N. Alvarez
Keyword(s):  
Factor Analysis ◽  
Asian American ◽  
Factor Model ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Stress Inventory ◽  
Related Stress ◽  
Three Factor ◽  
American Racism

The authors conducted exploratory and confirmatory factor analyses of the Asian American Racism-Related Stress Inventory (AARRSI) to further examine the underlying factor structure in a total sample of 1,273 Asian American participants. In the first step of analysis, an exploratory factor analysis with 651 participants yielded a 13-item two-factor solution to the data. In the second step, a confirmatory factor analysis with 622 participants supported both the 13-item two-factor model and the original 29-item three-factor model in the cross-validation sample and generational and ethnicity analyses. The two-factor and three-factor models produced internal consistency estimates ranging from .81 to .95. In addition, the authors examined convergent and criterion related evidence for 13-item and 29-item versions of the AARRSI. Given its brief nature and generally good fit across generational status and ethnicity, the authors suggest that the 13-item AARRSI might be advantageous for research and assessment endeavors.

scholarly journals SOLOMON: a method for splitting a sample into equivalent subsamples in factor analysis

2021 ◽  
Author(s):  
Urbano Lorenzo-Seva
Keyword(s):  
Factor Analysis ◽  
Multivariate Regression ◽  
Factor Model ◽  
Multivariate Regression Analysis ◽  
Splitting Methods ◽  
Simulation Studies ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Analysis Process ◽  
Confirmatory Factor

AbstractNowadays, exploratory and confirmatory factor analyses are two important consecutive steps in an overall analysis process. The overall analysis should start with an exploratory factor analysis that explores the data and establishes a hypothesis for the factor model in the population. Then, the analysis process should be continued with a confirmatory factor analysis to assess whether the hypothesis proposed in the exploratory step is plausible in the population. To carry out the analysis, researchers usually collect a single sample, and then split it into two halves. As no specific splitting methods have been proposed to date in the context of factor analysis, researchers use a random split approach. In this paper we propose a method to split samples into equivalent subsamples similar to one that has already been proposed in the context of multivariate regression analysis. The method was tested in simulation studies and in real datasets.

scholarly journals ANÁLISIS DE LA ESTRUCTURA FACTORIAL DEL REGISTRO DE OBSERVACIÓN DEL PROGRAMA APRENDER A CONVIVIR EN 3 AÑOS (ROAC-3).

2016 ◽  
Vol 4 (1) ◽  
pp. 557
Author(s):  
Ana Justicia-Arráez ◽  
Guadalupe Alba Corredor ◽  
Miriam Romero López ◽  
Ana Belén Quesada Conde
Keyword(s):  
Factor Analysis ◽  
Social Competence ◽  
Confirmatory Factor Analysis ◽  
Internal Consistency ◽  
Factor Model ◽  
Factorial Structure ◽  
General Internal ◽  
Observation Scale ◽  
The Social ◽  
Confirmatory Factor

Abstract.FACTORIAL STRUCTURE ANALYSIS OF THE APRENDER A CONVIVIR PROGRAM OBSERVATION SCALE IN 3-YEAR OLD (ROAC-3)The present study analyzes the factorial structure and the internal consistency of the observation scale of the Aprender a Convivir program for 3-year-old (ROAC-3) used to assess student learning related with the contents worked on the Aprender a Convivir program. Aprender a Convivir program is aimed at 3 to 7-year-old students and develop social competence with a preventive purpose (Alba, Justicia-Arráez, Pichardo y Justicia, 2013). Results show the existence of seven factors within the ROAC-3, after the exploratory and confirmatory factor analysis performed. Likewise, a social competence one-factor model was found for the scale, considering that the variables were positively and statistically significant around the social competence latent factor. In general, internal consistency coefficients of ROAC-3 were adequate.Key words: Aprender a Convivir program, social competence, observation scale, confimatory factor analysis.Resumen.En la siguiente investigación se analiza la estructura factorial y la consistencia interna del Registro de Observación del programa Aprender a Convivir en 3 años (ROAC-3), utilizado para evaluar el aprendizaje del alumnado en relación con los contenidos abordados en este programa de intervención. Aprender a Convivir es un programa dirigido al alumnado de 3 a 7 años que desarrolla la competencia social con un objetivo de prevención (Alba, Justicia-Arráez, Pichardo y Justicia, 2013). Los resultados encontrados tras los análisis exploratorios y confirmatorios, muestran la existencia de siete factores dentro de la escala. Por otro lado, se obtuvo un modelo unifactorial del registro total ya que los siete factores se relacionaron de forma positiva en torno a un factor latente, la competencia social. Los índices de consistencia interna del ROAC-3 fueron adecuados.Palabras clave: Aprender a Convivir, Educación Infantil, registro de observación, competencia social.

scholarly journals Five Factor Model in Iranian Culture: A Psychometrics Analysis of NEO-Five Factor Inventory (NEO-FFI)

2014 ◽  
Vol 1 (4) ◽  
Author(s):  
Manoochehr Azkhosh ◽  
Ali Asgari
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Internal Consistency ◽  
Factor Model ◽  
Five Factor Model ◽  
Explanatory Factor Analysis ◽  
Confirmatory Factor ◽  
Neo Five Factor Inventory

This study aimed to investigate the construct validity and factor structure of NEO-Five Factor Inventory (Costa & McCrae, 1992) in Iranian population. Participants were 1639 (780 male, 859 female) Tehran people aged 15-71. The results of explanatory factor analysis showed no notable differences between the factor structures extracted by oblique and orthogonal rotations and didn’t replicate the scoring key. The Openness and Agreeableness had more psychometric problems (low internal consistency and high deleted items). The female’s NEO-FFI factor structure (with 41 items of 60 loaded on intended factors)was clearer than males’ (with 37 items). Confirmatory factor analysis supported the male’s latent modeling of the 31-item but failed to fit the female’s model. The women scored significantly higher in the Neuroticism, Openness, Agreeableness, and Conscientiousness than men who scored significantly higher in the Extraversion. As previous findings, the current results showed the NEO-FFI’s cultural limitations assessing the universality of the Five Factor Model.

scholarly journals Psychometric properties of the HEXACO-PI-R self-evaluation form in Slovak translation

2021 ◽  
Vol 23 (1) ◽  
pp. 1-8
Author(s):  
Elena Lisá ◽  
◽  
Michael Dzúrik ◽  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Internal Consistency ◽  
Goodness Of Fit ◽  
Factor Model ◽  
Self Report ◽  
Medium Effect ◽  
Mean Values ◽  
Confirmatory Factor

The study aimed to verify the psychometric properties of the 100-item HEXACO-PI-R questionnaire. The sample consisted of 1624 adults aged from 16 to 79 years (M=34.5, SD=13.35) who filled the paper-pen self-report form of the HEXACO-PI-R. The average internal consistency of the six factors was α=.78 (from .72 for Openness to .81 for Honesty-Humility) and α=.60 for facets. The Altruism scale in the Slovak translation did not reach a satisfactory internal consistency (α=.29). Mean values in the Slovak-speaking sample were 3.29, and standard deviations .53 for factor level and .74 at the facet level. Sex differences showed the higher Emotionality (d=.99) and Honesty-Humility (d= .38) in women. Age differences in Honesty-Humility showed a medium effect size. Factors did not inter-correlate, or they correlated weakly, except for r=.34 in the relationship between Agreeableness and Honesty-Humility. The factors were well distinguished from one another. The exploratory factor analysis with Promax rotation confirmed the six-factor model, which explained in total 44% of data variance, with an average loading of .60. Individual one-factor models met most of the goodness of fit criteria in confirmatory factor analysis, but the six-factor model did not meet them. The controversy associated with assessing the internal structure of multidimensional personality inventories by confirmatory factor analysis is discussed. According to the currently published research studies, the research findings supported the reliability and internal validity of HEXACO-PI-R in Slovak translation.

Confirmatory Factor Analysis of the Frost et al Multidimensional Perfectionism Scale-24 (F-MPS 24)

2017 ◽  
Vol 41 (S1) ◽  
pp. s793-s794
Author(s):  
M.J. Soares ◽  
J. Azevedo ◽  
A.T. Pereira ◽  
A.I. Araújo ◽  
J. Castro ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
University Students ◽  
Internal Consistency ◽  
Factor Model ◽  
Short Form ◽  
Correlated Errors ◽  
Confirmatory Factor ◽  
Good Internal Consistency ◽  
Six Dimensions

IntroductionThe F-Multidimensional Perfectionism Scale is a widely used instrument to assess perfectionism trait. The original scale comprises 35-items that measure the six dimensions of Frost et al (1990) conceptualization of perfectionism: personal standards (PS), concern over mistakes (CM), doubts about actions (DA), parental criticism (PC), Parental expectations (PE) and Organization (O).ObjectiveTo examine the factor structure of the 24-items short form of the F-MPS using confirmatory factor analysis (CFA), in a sample of Portuguese university students.MethodsThe sample comprises 344 university students (68.4% females), with an average age of 20.69 years (SD = 1.59; range = 17–24). They completed a version of F-MPS with 24 items that results from the selection of the four items with highest loadings in the respective six dimensions of the original Portuguese version (Amaral et al., 2013).ResultsAfter correlated errors, we obtained a good fit for the FMPS with six factors (X2/df = 2.125; CFI = .936; GFI = .891, RMSEA = .057; P[rmsea≤ .05] = .043). The 24-item F-MPS short form revealed good internal consistency (α = .825). The six dimensions showed acceptable or good internal consistency, as revealed by Cronbach's alpha (α: PS = .80; CM = .76; DA = .82; PC = .84; PE = .89, O = .85).ConclusionsThe F-MPS 24 items short form CFA confirmed the six factor model as a reliable and valid measure to assess multidimensional perfectionism in Portuguese university students.Disclosure of interestThe authors have not supplied their declaration of competing interest.

Confirmatory Factor Analysis of the Eating Disorder Inventory

2005 ◽  
Vol 97 (1) ◽  
pp. 337-338 ◽  
Author(s):  
Keiko Nakano
Keyword(s):  
Factor Analysis ◽  
Eating Disorder ◽  
Maximum Likelihood ◽  
Confirmatory Factor Analysis ◽  
Japanese Version ◽  
Factor Analyses ◽  
Eating Disorder Inventory ◽  
Confirmatory Factor Analyses ◽  
Maximum Likelihood Factor Analysis ◽  
Confirmatory Factor

The Japanese version of the Eating Disorder Inventory was completed by 204 female university students. Confirmatory factor analyses supported the 9 factors reported by Shimura, et al. (2003). Further, maximum likelihood factor analysis yielded nine factors, accounting for 48.8% of the total variance. There was also adequate fit for each of the 9 subscales. This study provided additional evidence on validity for this Japanese version.

Assessing professionals' adoption readiness for eMental Health: Development and Validation of the eMental Health Adoption Readiness (eMHAR) Scale (Preprint)

2021 ◽  
Author(s):  
Milou Feijt ◽  
Yvonne de Kort ◽  
Joyce Westerink ◽  
Joyce Bierbooms ◽  
Inge Bongers ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Internal Consistency ◽  
Healthcare Professionals ◽  
Mental Healthcare ◽  
Factor Analyses ◽  
Confirmatory Factor ◽  
Exploratory Factor Analyses ◽  
Three Factor

BACKGROUND Over the last decades, significant advances have been made in the development of digital tools and applications for mental healthcare. Yet, despite growing evidence for their effectiveness, their acceptance and use in clinical practice remain low. To gain further insights in the process of eMental Health adoption and to facilitate future research on this topic, a validated and easy-to-use instrument to assess professionals' readiness to adopt eMental Health is necessary. OBJECTIVE The aim of this study was to develop and validate an instrument for assessing mental healthcare professionals' adoption readiness for eMental Health. METHODS Item generation was guided by literature and input from mental healthcare professionals and experts in survey development. Exploratory factor analyses were conducted on an initial set of 29 items completed by a sample of mental healthcare professionals (N = 432), after which the scale was reduced to 15 items in an iterative process. The factor structure thus obtained was subsequently tested with a confirmatory factor analysis with a second sample of mental healthcare professionals (N = 363). Internal consistency, convergent validity and predictive validity of the eMHAR Scale were assessed. RESULTS Exploratory factor analyses resulted in a three-factor solution with 15 items. The factors were analyzed and labeled as ‘perceived benefits and applicability of EMH’, ‘EMH proactive innovation’, and ‘EMH self-efficacy’. These factors were confirmed through a confirmatory factor analysis. The total scale and subscales showed good internal consistency (Cronbach’s alpha = 0.73-0.88) and acceptable convergent and predictive relations to related constructs. CONCLUSIONS The constructed eMHAR Scale showed a conceptually interpretable three-factor structure with satisfactory characteristics and relationships with relevant concepts. Its ease of use allows for a quick acquisition of data that can contribute to understanding and facilitating the process of adoption of eMental Health by clinical professionals.

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