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

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 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.

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.

Construct Validity of the WISC-V in Clinical Cases: Exploratory and Confirmatory Factor Analyses of the 10 Primary Subtests

Assessment ◽  
2018 ◽  
Vol 27 (2) ◽  
pp. 274-296 ◽  
Author(s):  
Gary L. Canivez ◽  
Ryan J. McGill ◽  
Stefan C. Dombrowski ◽  
Marley W. Watkins ◽  
Alison E. Pritchard ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Clinical Sample ◽  
Clinical Samples ◽  
General Factor ◽  
General Intelligence ◽  
Confirmatory Factor Analyses ◽  
Five Factors ◽  
Confirmatory Factor ◽  
Variance Estimates

Independent exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) research with the Wechsler Intelligence Scale for Children–Fifth Edition (WISC-V) standardization sample has failed to provide support for the five group factors proposed by the publisher, but there have been no independent examinations of the WISC-V structure among clinical samples. The present study examined the latent structure of the 10 WISC-V primary subtests with a large ( N = 2,512), bifurcated clinical sample (EFA, n = 1,256; CFA, n = 1,256). EFA did not support five factors as there were no salient subtest factor pattern coefficients on the fifth extracted factor. EFA indicated a four-factor model resembling the WISC-IV with a dominant general factor. A bifactor model with four group factors was supported by CFA as suggested by EFA. Variance estimates from both EFA and CFA found that the general intelligence factor dominated subtest variance and omega-hierarchical coefficients supported interpretation of the general intelligence factor. In both EFA and CFA, group factors explained small portions of common variance and produced low omega-hierarchical subscale coefficients, indicating that the group factors were of poor interpretive value.

Further Psychometric Evaluation of the Fear Questionnaire: Responses of College Students

1993 ◽  
Vol 73 (3_suppl) ◽  
pp. 1259-1266 ◽  
Author(s):  
Augustine Osman ◽  
Francisco X. Barrios ◽  
Joylene R. Osman ◽  
Kathy Markway
Keyword(s):  
Factor Model ◽  
Psychometric Evaluation ◽  
Brief Symptom Inventory ◽  
Fit Indices ◽  
Factor Analyses ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
General Psychological Distress ◽  
Components Analysis ◽  
Using Data

This study presents evidence for the factor structure and psychometric properties of the Fear Questionnaire for college undergraduates. Fit indices of the 4-and 5-factor models identified previously were inadequate. Exploratory principal components analysis identified three factors, using data from Sample 1 ( n = 208). LISREL confirmatory factor analyses supported generalizability of the three-factor model to Sample 2 ( n = 200). Satisfactory reliability coefficients were obtained for the factor-derived subscales. Significant gender differences were obtained on 4 of the 15 items but not on the factor subscales. Finally, we examined the correlations between scores on the scale and on other measures of social anxiety, social desirability, and general psychological distress of the Brief Symptom Inventory. Present results suggest that the Fear Questionnaire is a valuable research instrument for a nonclinical sample.

Use of the Sport Orientation Questionnaire with Wheelchair Athletes: Examination of Evidence for Validity

2002 ◽  
Vol 95 (1) ◽  
pp. 197-207 ◽  
Author(s):  
E. K. Skordilis ◽  
C. Sherrill ◽  
A. Yilla ◽  
D. Koutsouki ◽  
N. A. Stavrou
Keyword(s):  
Factor Analysis ◽  
Goal Orientation ◽  
Factor Model ◽  
Five Factor Model ◽  
Evidence Theory ◽  
Confirmatory Factor Analyses ◽  
Wheelchair Athletes ◽  
Confirmatory Factor ◽  
The Usa ◽  
Sport Orientation

The factor structure of the Sport Orientation Questionnaire with three factors of competitiveness, win orientation, and goal orientation was examined in a sample of 243 wheelchair athletes from the USA. Based on sample-specific validity evidence theory, it was hypothesized that the exploratory and confirmatory factor analyses would yield evidence on validity for wheelchair athletes who were different from able-bodied athletes. Exploratory factor analysis confirmed the hypothesis with a clear fourth and a questionable fifth factor. A confirmatory factor analysis did not adequately explain the new five-factor model. The new emerging fourth and fifth factors separated the competitiveness element of the questionnaire in ‘self-referenced’ and ‘other-referenced’ elements of competitiveness. Results are discussed in terms of demographic characteristics of the sample of wheelchair athletes.

scholarly journals Psychometric Evaluation of the Malay Version of the Family Adaptability and Cohesion Evaluation Scale III for Malaysian Adolescents

2021 ◽  
Vol 19 (1) ◽  
pp. 156
Author(s):  
Chin Wen Cong ◽  
Chee-Seng Tan ◽  
Hooi San Noew ◽  
Shin Ling Wu
Keyword(s):  
Factor Analysis ◽  
Psychometric Properties ◽  
Factor Model ◽  
Psychometric Evaluation ◽  
Factor Loading ◽  
Factor Models ◽  
Validation Sample ◽  
Family Adaptability ◽  
Confirmatory Factor ◽  
The Family

The Family Adaptability and Cohesion Scale III (FACES-III) has been widely used to measure an individual’s family functioning in terms of cohesion and adaptability. In Malaysia, the FACES-III has been translated into the Malay language for the community, but its psychometric properties in this context remain unknown. Thus, the purpose of this research is to examine the psychometric properties of the Malay version of the FACES-III in 852 adolescents attending secondary schools in Kuala Lumpur, Malaysia. Data were randomly split into two halves: the exploration sample and the validation sample. Exploratory factor analysis was conducted on the exploration sample and a two-factor model was discovered after removing nine items that showed low factor loading. Then, confirmatory factor analysis was conducted on the validation sample to compare the one-factor models, two-factor models, and three-factor models. Results showed that the 11-item two-factor model (FACES-III-M-SF) was superior to the other competing models. Both the exploratory and confirmatory factor analyses replicated the two-factor structure of the original version of FACES-III. The reliability of the overall scale was consistently good, but the subscale results were mixed. This suggests that researchers should use the overall score, but not the subscale scores, in analyses.

The Shame and Guilt Scales of the Test of Self-Conscious Affect–Adolescent (TOSCA-A): Factor Structure, Concurrent and Discriminant Validity, and Measurement and Structural Invariance Across Ratings of Males and Females

Assessment ◽  
2015 ◽  
Vol 24 (4) ◽  
pp. 517-527 ◽  
Author(s):  
Shaun Watson ◽  
Rapson Gomez ◽  
Eleonora Gullone
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Mean Squared Error ◽  
Factor Model ◽  
Chi Square ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Shame And Guilt ◽  
The Difference

This study examined various psychometric properties of the items comprising the shame and guilt scales of the Test of Self-Conscious Affect–Adolescent. A total of 563 adolescents (321 females and 242 males) completed these scales, and also measures of depression and empathy. Confirmatory factor analysis provided support for an oblique two-factor model, with the originally proposed shame and guilt items comprising shame and guilt factors, respectively. Also, shame correlated with depression positively and had no relation with empathy. Guilt correlated with depression negatively and with empathy positively. Thus, there was support for the convergent and discriminant validity of the shame and guilt factors. Multiple-group confirmatory factor analysis comparing females and males, based on the chi-square difference test, supported full metric invariance, the intercept invariance of 26 of the 30 shame and guilt items, and higher latent mean scores among females for both shame and guilt. Comparisons based on the difference in root mean squared error of approximation values supported full measurement invariance and no gender difference for latent mean scores. The psychometric and practical implications of the findings are discussed.

The Assessment of Psychological Strain in Work Contexts

2006 ◽  
Vol 22 (3) ◽  
pp. 198-206 ◽  
Author(s):  
Gisela Mohr ◽  
Andreas Müller ◽  
Thomas Rigotti ◽  
Zeynep Aycan ◽  
Franziska Tschan
Keyword(s):  
Factor Model ◽  
Factor Analyses ◽  
Single Group ◽  
Individual Counseling ◽  
Confirmatory Factor Analyses ◽  
Multiple Group ◽  
Confirmatory Factor ◽  
Structural Equivalence ◽  
Exploratory Factor Analyses ◽  
Stress At Work

Irritation as defined in this paper is the subjectively perceived emotional and cognitive strain in occupational contexts. The structural equivalence of the Arabic, Dutch, English, French, Italian, Russian, Spanish, Turkish, and Polish adaptations of the German Irritation Scale is examined. The Irritation Scale is recommended for application particularly in occupational contexts. In this field it can be used for evaluating interventions, for research on stress at work, and for individual counseling. Exploratory factor analyses, as well as single group and different multiple-group confirmatory factor analyses, were performed. Structural equivalency in terms of equal factor loadings as well as equal factor covariances across all adaptations can be claimed. However, the single group analyses suggest that the hypothesized factor model should be rejected in the English, Russian, Spanish, and Turkish versions, mainly because of borderline values in the RMSEA index.

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