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.

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 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.

scholarly journals PSYCHOMETRIC EVALUATION OF THE TURKISH VERSION OF THE COVID-19 INDUCED ANXIETY SCALE AND PROTECTIVE BEHAVIORS TOWARDS COVID-19 SCALE

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Hikmet Yazıcı ◽  
Fatma Altun ◽  
Cansu Tosun ◽  
Münevver Özdemir ◽  
Yasemin Karsantık
Keyword(s):  
Factor Analysis ◽  
Psychometric Evaluation ◽  
Study Data ◽  
Anxiety Scale ◽  
Three Dimensions ◽  
Protective Behaviors ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Turkish Language

The purpose of the present study was to adapt COVID-19 Induced Anxiety Scale (CIAS) and Protective Behaviors towards COVID-19 Scale (PBCS) into Turkish language, and to investigate their psychometric properties. 593 adults participated in the study. Data were collected through CIAS and PBCS as well as The Fear of COVID-19 Scale (FCS). Cronbach alpha (α) and McDonald’s Omega (ω) coefficients were utilized for reliability of the Turkish forms of the scales, and validity of the scales was tested with exploratory factor analysis, confirmatory factor analysis and criterion validity. The analysis showed that α and ω reliability coefficients of both scales were over .70. The results of exploratory and confirmatory factor analyses revealed that CIAS had a single factor structure while PBCS had three dimensions as indicated in original forms of the scales. Significant and positive relationships were also found between the scores obtained from CIAS and PBCS and fear scores. To conclude, Turkish forms of CIAS and PBCS were proved to be valid and reliable tools to measure severity of COVID-19 induced anxiety through CIAS and individuals’ protective behaviors towards COVID-19 through PBCS.

scholarly journals Development and Psychometric Evaluation of the Sport Psychology Attitudes—Revised Form: A Multiple Group Investigation

2002 ◽  
Vol 16 (3) ◽  
pp. 272-290 ◽  
Author(s):  
Scott B. Martin ◽  
Michael Kellmann ◽  
David Lavallee ◽  
Stephen J. Page
Keyword(s):  
Factor Analysis ◽  
Sport Psychology ◽  
Female Athletes ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Late Adolescent ◽  
Confirmatory Factor Analyses ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Cultural Preference

Exploratory and confirmatory factor analyses were conducted to develop a revised form of the Attitudes Toward Seeking Sport Psychology Consultation Questionnaire (ATSSPCQ; Martin, Wrisberg, Beitel, & Lounsbury, 1997). The 50-item ATSSPCQ was administered to 533 athletes (M = 18.03 ± 2.71). Exploratory alpha factor analysis with varimax rotation produced four factors: (a) stigma tolerance, (b) confidence in sport psychology consultation, (c) personal openness, and (d) cultural preference. The new questionnaire, the Sport Psychology Attitudes - Revised form (SPA-R), was then administered to 379 United States, 234 United Kingdom, and 443 German athletes (M = 20.37 ± 5.13). Confirmatory factor analysis demonstrated the factorial validity of the four-factor model for the SPA-R for male and female athletes, late adolescent

A Study on Effect of Job Design and Ergonomics on Employee Performance in Indian Automotive Sector

Metamorphosis ◽  
2021 ◽  
pp. 097262252110337
Author(s):  
Shilki Bhatia ◽  
Arshia Arora
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Multivariate Regression ◽  
Employee Performance ◽  
Multivariate Regression Analysis ◽  
Job Design ◽  
P Value ◽  
Automotive Sector ◽  
Confirmatory Factor ◽  
Design For Safety

Growing competition and the increasing need for adaptability often require organizations to switch and convert themselves according to the demand of circumstances. In this process of reformation, employee performance gets affected by many aspects. Aiming at connecting two broad occupational concepts this article analyses and tests the effect of Job Design and Ergonomics on Employee Performance and the relatedness of Job Design and Ergonomics. The research was conducted in 32 organizations, having managers and supervisors at about 64 categories of designations handling teams of workers in the manufacturing units, of the automotive sector of India. This quantitative study, based on a sample collected through 5 points Likert scale questionnaires, was analysed using Confirmatory Factor Analysis (CFA), correlation, and multivariate regression analysis. The results manifested that CFA model and regression analysis described a significant impact of Job Design and Ergonomics on Employee Performance. The correlation outcomes revealed that Job Design and Ergonomics were well connected having p-value of .00, p < .005. The findings suggested, while focusing on improving the employee upshot, it becomes necessary for organizations to include Ergonomics in Job Design as a Design for Safety.

scholarly journals The Discrepancies Between Individual-Set and Parent-Set Career Goals Scale: Development and Initial Validation

2020 ◽  
pp. 089484532090179
Author(s):  
Dian R. Sawitri ◽  
Peter A. Creed ◽  
Mirwan S. Perdhana
Keyword(s):  
Factor Analysis ◽  
Career Goals ◽  
Underlying Structure ◽  
First Year ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Research And Practice ◽  
Initial Validation ◽  
Confirmatory Factor ◽  
Item Scale

As there was no existing, psychometrically sound scale that directly assessed the discrepancies that young people experience between individual-set career goals and parent-set career goals, we developed and provided initial validation for a 15-item scale for use with young adults. In Study 1, items were developed, reviewed by experts, and administered to a sample of first year, undergraduate Indonesian students ( N = 426, M age = 18.42 years). We used exploratory factor analysis to reduce the number of items and assess the factor structure and used confirmatory factor analyses on a holdout sample to assess this underlying structure. We then provided evidence for construct validity. Recommendations for use in research and practice are discussed.

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.

scholarly journals Factor Structure and Gender Invariance Testing for the Sport Anxiety Scale-2 (SAS-2)

2018 ◽  
Vol 12 (2) ◽  
pp. 201-217
Author(s):  
Leilani A. Madrigal ◽  
Vincenzo Roma ◽  
Todd Caze ◽  
Arthur Maerlender ◽  
Debra Hope
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Online Survey ◽  
Factor Model ◽  
Anxiety Scale ◽  
Negative Evaluation ◽  
Psychometric Validation ◽  
Confirmatory Factor Analyses ◽  
Analysis Group ◽  
Confirmatory Factor

This study aimed to provide further psychometric validation of the Sport Anxiety Scale-2 (SAS-2) by assessing the factor structure, invariance across gender, and convergent and divergent validity of the SAS-2 by correlating both related (i.e., anxiety sensitivity, brief fear of negative evaluation, intolerance of uncertainty, and negative affect) and unrelated constructs (i.e., positive affect, self-confidence). A total of 542 current and former competitive athletes completed a questionnaire through Amazon’s Mechanical Turk system. All data were collected via online survey. Participants were randomly assigned to an exploratory factor analysis (n = 271) and confirmatory factor analysis group (n = 271). Results indicated that both exploratory and confirmatory factor analyses supported the three-factor model of anxiety involving somatic anxiety, worry, and concentration disruption. Additionally, this study found the SAS-2 to be reliable, gender invariant, and have strong construct validity. Our findings extend the generalizability of the SAS-2 in more varied populations of athletic backgrounds.

Measuring Psychological Well-Being in the Canadian Study of Health and Aging

2001 ◽  
Vol 13 (S1) ◽  
pp. 79-90 ◽  
Author(s):  
Philippa J. Clarke ◽  
Victor W. Marshall ◽  
Carol D. Ryff ◽  
Blair Wheaton
Keyword(s):  
Psychological Functioning ◽  
Factor Model ◽  
Well Being ◽  
Internal Consistency Reliability ◽  
Factor Analyses ◽  
Canadian Study ◽  
Confirmatory Factor Analyses ◽  
Multidimensional Measure ◽  
Positive Psychological Functioning ◽  
Confirmatory Factor

The Canadian Study of Health and Aging (CHSA) provided an opportunity to examine the positive aspects of aging. CHSA-2 included the 18-item Ryff multidimensional measure of well-being, which taps six core theoretical dimensions of positive psychological functioning. The measure was administered to 4,960 seniors without severe cognitive impairment or dementia at CSHA-2. Intercorrelations across scales were generally low. At the same time, the internal consistency reliability of each of the 6 subscales was not found to be high. Confirmatory factor analyses provide support for a 6-factor model, although some items demonstrate poor factor loadings. The well-being measures in CSHA-2 provide an opportunity to examine broad, descriptive patterns of well-being in Canadian seniors.

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