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.

Factorial Structure of the Therapist Adherence Measure-Revised (TAM-R) Within Multisystemic Therapy

2020 ◽  
Vol 36 (2) ◽  
pp. 427-431
Author(s):  
Aurelie M. C. Lange ◽  
Marc J. M. H. Delsing ◽  
Ron H. J. Scholte ◽  
Rachel E. A. van der Rijken
Keyword(s):  
Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Multisystemic Therapy ◽  
Model Fit ◽  
Validity And Reliability ◽  
Adherence Measure ◽  
Therapist Adherence ◽  
Confirmatory Factor ◽  
The Us

Abstract. The Therapist Adherence Measure (TAM-R) is a central assessment within the quality-assurance system of Multisystemic Therapy (MST). Studies into the validity and reliability of the TAM in the US have found varying numbers of latent factors. The current study aimed to reexamine its factor structure using two independent samples of families participating in MST in the Netherlands. The factor structure was explored using an Exploratory Factor Analysis (EFA) in Sample 1 ( N = 580). This resulted in a two-factor solution. The factors were labeled “therapist adherence” and “client–therapist alliance.” Four cross-loading items were dropped. Reliability of the resulting factors was good. This two-factor model showed good model fit in a subsequent Confirmatory Factor Analysis (CFA) in Sample 2 ( N = 723). The current finding of an alliance component corroborates previous studies and fits with the focus of the MST treatment model on creating engagement.

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

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

The Factor Structure of Social Cognition in Schizophrenia: A Focus on Replication With Confirmatory Factor Analysis and Machine Learning

2020 ◽  
pp. 216770262095152
Author(s):  
Philipp Riedel ◽  
William P. Horan ◽  
Junghee Lee ◽  
Gerhard S. Hellemann ◽  
Michael F. Green
Keyword(s):  
Machine Learning ◽  
Social Cognition ◽  
Factor Structure ◽  
Social Cognitive ◽  
Linear Models ◽  
Factor Model ◽  
Confirmatory Factor Analyses ◽  
Attributional Bias ◽  
Confirmatory Factor ◽  
High Level

Social cognition has become a major focus in psychosis research aimed at explaining heterogeneity in functional outcome and developing interventions oriented to functional recovery. However, there is still no consensus on the structure of social cognition in psychosis, and research in this area has been plagued by lack of replication. Our first goal was to replicate the factor structure of social cognition using nearly identical tasks in independent samples. Our second goal was to externally validate the factors as they relate to nonsocial cognition and various symptoms in the prediction of functioning using machine learning. Confirmatory factor analyses validated a three-factor model for social cognition in psychosis (low-level, high-level, attributional bias factor). A least absolute shrinkage and selection operator regression and cross-validation provided evidence for external validity of data-driven linear models including the social-cognitive factors, nonsocial cognition, and symptoms. We addressed the replicability problems that have impeded research in this area, and our results will guide future psychosis studies.

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.

The Factor Structure of the Aggression Questionnaire With Violent Offenders

2017 ◽  
Vol 62 (7) ◽  
pp. 1888-1905 ◽  
Author(s):  
Cathrine Pettersen ◽  
Kevin L. Nunes ◽  
Franca Cortoni
Keyword(s):  
Factor Structure ◽  
Factor Model ◽  
Short Form ◽  
Violent Offenders ◽  
Self Report ◽  
Violent Offender ◽  
Careful Examination ◽  
Confirmatory Factor Analyses ◽  
Confirmatory Factor ◽  
Aggression Questionnaire

The Buss-Perry Aggression Questionnaire (AQ) is a self-report measure of aggressiveness commonly employed in nonforensic and forensic settings and is included in violent offender pre- and posttreatment assessment batteries. The aim of the current study was to assess the fit of the four-factor model of the AQ with violent offenders ( N = 271), a population for which the factor structure of the English version of the AQ has not previously been examined. Confirmatory factor analyses did not yield support for the four-factor model of the original 29-item AQ. Acceptable fit was obtained with the 12-item short form, but careful examination of the relationships between the latent factors revealed that the four subscales of the AQ may not represent distinct aspects of aggressiveness. Our findings call into question whether the AQ optimally measures trait aggressiveness among violent offenders.

Confirmatory Factor Analysis of NEO-FFI-20 in a Portuguese Sample

2017 ◽  
Vol 41 (S1) ◽  
pp. S255-S255
Author(s):  
J.F. Dourado ◽  
A.T. Pereira ◽  
C. Marques ◽  
J. Azevedo ◽  
V. Nogueira ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Online Survey ◽  
Factor Model ◽  
Five Factor Model ◽  
Openness To Experience ◽  
Ongoing Research ◽  
Portuguese Version ◽  
Confirmatory Factor ◽  
On The Road

IntroductionThe Five-Factor Model organizes human personality traits under a comprehensive framework of five dimensions–neuroticism, extraversion, openness to experience, agreeableness and conscientiousness. The dimensions are empirical generalizations of enduring differences in behavioural, emotional and cognitive patterns between individuals. The Portuguese version of the NEO-Five Factor Inventory (NEO-FFI-20) is increasingly used as it is the shortest version to evaluate the “Big 5”.ObjectiveTo investigate the reliability and the validity of the Portuguese version of NEO-FFI-20-item (Bertoquini & Pais Ribeiro) in a Portuguese sample, using exploratory and confirmatory factor analysis (EFA and CFA).Methods747 participants [417 (55.8%) women; mean age = 42.13 ± 12.349 years] answered an online survey which included the NEO-FFI-20 and socio-demographic questions. The total sample was randomly divided in two sub-samples (sample A, n = 373; sample B, n = 374). Sample A was used to EFA and sample B was used to CFA.ResultsThe Portuguese version of NEO-FFI-20, excluding items 14 and 16, had an acceptable fit to the data (χ2/df = 2.28; TLI = .88; CFI = .90; RMSEA = .06; P = .059). The internal consistency analysis resulted in: Neuroticism, α = .68; Extraversion, α = .62; Openness to Experience, α = .74; Agreeableness, α = .70; and Conscientiousness, α = .74.ConclusionsThe NEO-FFI-20 can be used to reliably and validly evaluate the BIG FIVE in an ongoing research project on traffic psychology to better understand and respond to risky behaviours on the road.Disclosure of interestThe authors have not supplied their declaration of competing interest.

scholarly journals The Connor-Davidson Resilience Scale in Critical Care Nurses: A Psychometric Analysis

2016 ◽  
Vol 24 (1) ◽  
pp. 28-39 ◽  
Author(s):  
Meredith Mealer ◽  
Sarah J. Schmiege ◽  
Paula Meek
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Factor Structure ◽  
Model Comparison ◽  
Factor Model ◽  
The United States ◽  
Critical Care Nurses ◽  
Group Differences ◽  
Resilience Scale ◽  
Confirmatory Factor

Objective: (a) To investigate the factor structure of the Connor-Davidson Resilience Scale (CD-RISC) in critical care nurses, using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) and (b) to assess reliability and known group differences of the CD-RISC on critical care nurses. Methods: CD-RISC surveys were collected on 744 critical care nurses across the United States. An abridged version of the CD-RISC was used for the EFA and CFA. Further reliability and known group differences were also tested. Results: EFA identified 3 factors with eigenvalues >1.0 and an explained variance of 59%. The factors were labeled personal competence, perseverance, and leadership, and each factor had salient loadings. The 3-factor CFA provided good fit to the data, χ2 = 243.1, p < .001; RMSEA = .062; CFI = .935, although correlations among the 3 factors were high (.78–.86). A 1-factor model was subsequently tested but did not produce a better fit, and model comparison analyses supported retention of the 3-factor model. Known group differences was supported as intensive care unit (ICU) nurses with a diagnosis of posttraumatic stress disorder (PTSD) had significantly lower total resilience scores (M = 75.43) compared to those without a diagnosis of PTSD (M = 83.21; t = 5.01; p < .001). Discussion: The current investigation found that the 3-factor structure provided the best fit for the data on the abridged version of the CD-RISC in a population of ICU nurses. Analyses also supported the reliability and known group differences of the 16-item measure. Further research is needed to examine trait and capacity features of resilience as it relates to this population.

Sign in / Sign up

Export Citation Format

Share Document