An Assessment of the Construct Distinctiveness of Stress Arousal and Burnout

2006 ◽  
Vol 99 (2) ◽  
pp. 396-406 ◽  
Author(s):  
Kenneth J. Smith ◽  
Jeanette A. Davy ◽  
George S. Everly
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Latent Variables ◽  
Discriminant Validity ◽  
Factor Model ◽  
Strong Support ◽  
Maslach Burnout Inventory ◽  
Significant Loss ◽  
Staff Members ◽  
Confirmatory Factor

This study examined the construct and discriminant validity of stress arousal and burnout as measured on the Stress Arousal Scale and the multidimensional role-specific version of the Maslach Burnout Inventory, respectively. The analyses utilized data from 148 individuals randomly selected from a database of 563 respondents to a larger study. The sample responded to a survey sent to members of the American Institute of Certified Public Accountants (AICPA). Sample size used in this study fell within Loehlin's 1992 prescription that for confirmatory factor analysis with two to four factors, a minimum of 100 to 200 cases should be collected. Forty-six respondents indicated that they were partners, principals, or sole practitioners in accounting firms, and 103 indicated that they were staff members (juniors, seniors, or managers). Latent variables were first constructed for the stress arousal and burnout factors. Confirmatory factor analysis was then conducted on the scale data to assess whether the factors would load on their respective underlying theoretical constructs. Finally, a nested model constraining stress arousal and burnout to load on one underlying construct was tested against the hypothesized two-factor model. The results indicated good model fit for the two-factor model and a significant loss of fit for the one-factor model, thus providing strong support for the conceptualization of stress arousal and burnout as distinct constructs.

Exploratory and Confirmatory Factor Analysis of the Maslach Burnout Inventory to Measure Burnout Syndrome in Critical Care Nurses

2020 ◽  
Vol 28 (1) ◽  
pp. E18-E29
Author(s):  
Alexander Schneider ◽  
Jeri E. Forster ◽  
Meredith Mealer
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Maslach Burnout Inventory ◽  
The United States ◽  
Critical Care Nurses ◽  
Burnout Syndrome ◽  
Confirmatory Factor

Background and PurposeBurnout syndrome is common in critical care nursing. The Critical Care Societies Collaborative recently released a joint statement and call to action on burnout in critical care professionals.MethodsWe conducted an exploratory factor analysis and confirmatory factor analysis (CFA) of the 22-item MBI.ResultsThe exploratory factor analysis identified three factors but after questions were removed; we were left with a 2-factor, 10-item abridged version of the MBI-HSS to test with CFA modeling. The CFA indicated conflicting fit indices.Conclusionswe conducted an exploratory and CFA of the abridged MBI-HSS in critical care nurses from the United States and found the two-factor model was the best fit achieved.

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.

scholarly journals Can Variances of Latent Variables be Scaled in Such a Way That They Correspond to Eigenvalues?

2017 ◽  
Vol 6 (6) ◽  
pp. 35 ◽  
Author(s):  
Karl Schweizer ◽  
Stefan Troche ◽  
Siegbert Reiß
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Simulation Study ◽  
Latent Variables ◽  
Latent Variable ◽  
Factor Model ◽  
Estimation Method ◽  
Factor Loadings ◽  
Confirmatory Factor ◽  
Theoretical Foundations

The paper reports an investigation of whether sums of squared factor loadings obtained in confirmatory factor analysis correspond to eigenvalues of exploratory factor analysis. The sum of squared factor loadings reflects the variance of the corresponding latent variable if the variance parameter of the confirmatory factor model is set equal to one. Hence, the computation of the sum implies a specific type of scaling of the variance. While the investigation of the theoretical foundations suggested the expected correspondence between sums of squared factor loadings and eigenvalues, the necessity of procedural specifications in the application, as for example the estimation method, revealed external influences on the outcome. A simulation study was conducted that demonstrated the possibility of exact correspondence if the same estimation method was applied. However, in the majority of realized specifications the estimates showed similar sizes but no correspondence. 

scholarly journals The validation of Corona Anxiety Questionnaire in Iranian Population

2021 ◽  
Author(s):  
Morteza Mehraeen ◽  
Mohammad Reza Heydari ◽  
Hassan Joulaei ◽  
Marjan Faghih
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Discriminant Validity ◽  
Factor Model ◽  
Kappa Statistic ◽  
Iranian Population ◽  
Validity And Reliability ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor ◽  
Anxiety Questionnaire

Abstract Background: Anxiety is an evolutionary mental status that alerts a person from possible dangers: inside or outside dangers. One of the external dangers that threaten global society these days is Corona's disease. It has reported since 2020 January in Iran and has killed more than 8000 people during 5 month. But someone are unaware of the importance and danger of Corona or they don't consider any reason to worry. The aim of this study was to design and standardize a special questionnaire for corona anxiety in the Iranian population. Because of it, with the help of 10 psychologists and psychiatrics found 8 scales and wrote 36 question. Questionnaire asked from 523 internet operators by porsline.ir all over Iran. Method: To assess the reliability, kappa statistic was calculated and for construct validity, exploratory factor analysis (EFA) with Varimax rotation and confirmatory factor analysis (CFA) were used. Convergent and discriminant validity was checked using Spearman correlation and for content validity index (CVR) was used. Result: Reliability for the most items was high. Questionnaire showed excellent convergent and discriminant validity except for social support subscale. The results of categorical confirmatory factor analysis supported the fit of the eight-factor model of the Corona Anxiety Scales-36. Furthermore, the average of CVR was higher than acceptance level (0.62). Conclusion: The findings showed that the corona anxiety questionnaire is a questionnaire with appropriate validity and reliability for use in anxiety related to the unknown corona disease.

Confirmatory Factor Analysis and Reliability of the Chinese Version of the Maslach Burnout Inventory among Guidance Teachers in Hong Kong

2002 ◽  
Vol 91 (3_suppl) ◽  
pp. 1081-1086 ◽  
Author(s):  
Mantak Yuen ◽  
Patrick S. Y. Lau ◽  
Daniel T. L. Shek ◽  
Man-Ping Lam
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Maslach Burnout Inventory ◽  
Personal Accomplishment ◽  
Chinese Version ◽  
Chinese Teachers ◽  
Confirmatory Factor ◽  
Highly Correlated ◽  
Guidance Teachers

In 1995 Chan and Hui examined the responses of a sample of Chinese teachers on the Maslach Burnout Inventory and recommended a possible 2-factor rather than the original 3-factor model for the assessment of burnout among Chinese teachers. In the present study, the factor structure of responses to the Chinese version of the Maslach Burnout Inventory in a sample of 1,398 Chinese secondary school guidance teachers was examined using the EQS approach to confirmatory factor analysis. The results showed that a 3-factor model (Emotional Exhaustion, Depersonalization, and Personal Accomplishment) provided the best fit, with the first two factors highly correlated ( r = .80). Internal consistencies for the subscales ranged from .80 to .88.

Confirmatory Factor Analysis of the Fear Questionnaire with Social Phobia Patients

1996 ◽  
Vol 168 (4) ◽  
pp. 497-499 ◽  
Author(s):  
Brian J. Cox ◽  
James D. A. Parker ◽  
Richard P. Swinson
Keyword(s):  
Factor Analysis ◽  
Anxiety Disorder ◽  
Confirmatory Factor Analysis ◽  
Social Phobia ◽  
Factor Model ◽  
Strong Support ◽  
Confirmatory Factor ◽  
Three Factor

BackgroundThe Fear Questionnaire is an internationally popular measure in anxiety disorder research, but its validity with social phobia patients has not been clearly demonstrated.MethodA confirmatory factor analysis was conducted using the Fear Questionnaire responses of 122 social phobia patients.ResultsThe results indicated that the proposed three-factor model of the scale (agoraphobia, social phobia, and Wood/injury dimensions) provided a good fit to the data.ConclusionsThese data provide strong support for the validity of the scale and for the multidimensional view of fears proposed by Arrindell.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

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.

Confirmatory Factor Analysis, Internal Consistency, Gender Differential Item Functioning and Discriminant Validity of the Fear of COVID-5 Scale Amidst Emerging Adult University Students in Mexico

2021 ◽  
pp. 003022282110162
Author(s):  
Adalberto Campo-Arias ◽  
Andrés Felipe Tirado-Otálvaro ◽  
Isabel Álvarez-Solorza ◽  
Carlos Arturo Cassiani-Miranda
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Differential Item Functioning ◽  
Internal Consistency ◽  
Discriminant Validity ◽  
Emerging Adult ◽  
One Dimension ◽  
Item Functioning ◽  
Confirmatory Factor ◽  
Gender Differential

The study aimed to perform confirmatory factor analysis, internal consistency, gender differential item functioning, and discriminant validity of the Fear of COVID-5 Scale in emerging adult students of a university in Mexico. Confirmatory factor analysis, internal consistency (Cronbach's alpha and McDonald's omega), and gender differential item functioning were estimated (Kendall tau b correlation). The Fear of COVID-5 Scale showed a one-dimension structure (RMSEA = 0.07, CFI = 0.98, TLI = 0.96, and SRMR = 0.02), with high internal consistency (Cronbach's alpha of 0.78 and McDonald's omega of 0.81), non-gender differential item functioning (Kendall tau b between 0.07 and 0.10), and significant discriminant validity (Higher scores for fear of COVID-19 were observed in high clinical anxiety levels). In conclusion, the Fear of COVID-5 Scale presents a clear one-dimension structure similar to a previous study.

Reasons for attending support groups and organizational preferences: A replication study using the North American Scleroderma Support Group Survey

2019 ◽  
Vol 4 (3) ◽  
pp. 173-186 ◽  
Author(s):  
Mia Pépin ◽  
Linda Kwakkenbos ◽  
Marie-Eve Carrier ◽  
Sandra Peláez ◽  
Ghassan El-Baalbaki ◽  
...  
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Systemic Sclerosis ◽  
North America ◽  
Confirmatory Factor Analysis ◽  
Support Groups ◽  
Support Group ◽  
Factor Model ◽  
The United States ◽  
Confirmatory Factor

Peer-facilitated support groups are an important source for receiving disease-related information and support for people with systemic sclerosis (or scleroderma). A recent survey explored reasons for attending systemic sclerosis support groups in Europe and Australia and used exploratory factor analysis to group reasons for attendance into three main themes: (1) interpersonal and social support, (2) disease treatment and symptom management strategies, and (3) other aspects of living with systemic sclerosis. The objective of the present study was to replicate this study in a sample of patients from North America using confirmatory factor analysis. A 30-item survey was used to assess reasons for attendance and organizational preferences among systemic sclerosis patients in Canada and the United States. In total, 171 members completed the survey. In the confirmatory factor analysis, the three-factor model showed good fit to the data (χ2(399) = 646.0, p < 0.001, Tucker–Lewis index = 0.97, comparative fit index = 0.97, root mean square error approximation = 0.06). On average, respondents rated 22 (73%) of 30 items as “important” or “very important” reasons for attending support groups. Among organizational preferences, respondents emphasized the importance of the ability to share feelings and concerns, as well as educational aspects. Findings of our study suggest that reasons for attending support groups are similar for patients from Europe, Australia, and North America and that support groups should facilitate social support as well as disease education. These results inform the development of training programs for current and future systemic sclerosis support group leaders across the globe.

Sign in / Sign up

Export Citation Format

Share Document