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.

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.

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.

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.

scholarly journals Psychometric Properties of the Bern Illegitimate Tasks Scale – Spanish Version

2021 ◽  
Vol 12 ◽  
Author(s):  
Denisse Lizette Valdivieso Portilla ◽  
Angélica Gonzalez Rosero ◽  
Geovanny Alvarado-Villa ◽  
Jorge Moncayo-Rizzo
Keyword(s):  
Factor Analysis ◽  
Informed Consent ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Work Stress ◽  
Factor Model ◽  
Spanish Version ◽  
Confirmatory Factor ◽  
Written Informed Consent

In recent years, a new factor for work stress has been studied along with stress as an offense to self-theory. Illegitimate tasks refer to assignments that are unnecessary or are not related to the employee’s role. Because of this, the Bern Illegitimate Tasks Scale was developed, which measures illegitimate tasks in terms of unreasonable tasks and unnecessary tasks. There are no studies in Latin America on illegitimate tasks, so the purpose of this research is to translate and validate the Bern Illegitimate Tasks Scale. The study was performed with a sample of nursing staff from a hospital in Guayaquil, Ecuador. Written informed consent was obtained from each of the participants. The reliability of the questionnaire was evaluated and its structural validity was verified by exploratory factor analysis and confirmatory factor analysis. The internal consistency of the whole scale, measured by Cronbach’s alpha, was 0.857. Moreover, the unnecessary and unreasonable subscales measure were 0.846 and 0.841, respectively. The exploratory factor analysis supported a two-factor model that explained 73.96% of the variance. Additionally, the confirmatory factor analysis showed good indexes of fit (GFI = 0.915, CFI = 0.955, TLI = 0.933, SRMR = 0.084, and RMSEA = 0.087). The Spanish version of the Bern Illegitimate Tasks Scale presents good psychometric properties and can be applied to nurses in the Ecuadorian population.

scholarly journals The structure of the Hospital Anxiety and Depression Scale in four cohorts of community-based, healthy older people: the HALCyon program

2010 ◽  
Vol 22 (4) ◽  
pp. 559-571 ◽  
Author(s):  
Catharine R. Gale ◽  
Michael Allerhand ◽  
Avan Aihie Sayer ◽  
Cyrus Cooper ◽  
Elaine M. Dennison ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Older People ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Hospital Anxiety ◽  
Men And Women ◽  
Confirmatory Factor

ABSTRACTBackground: The Hospital Anxiety and Depression Scale (HADS) is widely used but evaluation of its psychometric properties has produced equivocal results. Little is known about its structure in non-clinical samples of older people.Methods: We used data from four cohorts in the HALCyon collaborative research program into healthy aging: the Caerphilly Prospective Study, the Hertfordshire Ageing Study, the Hertfordshire Cohort Study, and the Lothian Birth Cohort 1921. We used exploratory factor analysis and confirmatory factor analysis with multi-group comparisons to establish the structure of the HADS and test for factorial invariance between samples.Results: Exploratory factor analysis showed a bi-dimensional structure (anxiety and depression) of the scale in men and women in each cohort. We tested a hypothesized three-factor model but high correlations between two of the factors made a two-factor model more psychologically plausible. Multi-group confirmatory factor analysis revealed that the sizes of the respective item loadings on the two factors were effectively identical in men and women from the same cohort. There was more variation between cohorts, particularly those from different parts of the U.K. and in whom the HADS was administered differently. Differences in social-class distribution accounted for part of this variation.Conclusions: Scoring the HADS as two subscales of anxiety and depression is appropriate in non-clinical populations of older men and women. However, there were differences between cohorts in the way that individual items were linked with the constructs of anxiety and depression, perhaps due to differences in sociocultural factors and/or in the administration of the scale.

Confirmatory Factor Analysis of the Sternberg Triarchic Abilities Test in Three International Samples

2001 ◽  
Vol 17 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Robert J. Sternberg ◽  
J.L. Castejón ◽  
M.D. Prieto ◽  
Jarkko Hautamäki ◽  
Elena L. Grigorenko
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Model ◽  
Theoretical Models ◽  
The United States ◽  
Underlying Structure ◽  
School Students ◽  
Theory Of Intelligence ◽  
Confirmatory Factor ◽  
Order Factor

Summary: In the current study we compare different theoretical models of the underlying structure of the STAT (Sternberg Triarchic Abilities Test), Level-H, by using the techniques of confirmatory factor analysis on a combined sample of 3278 school students from the United States, Finland, and Spain. The results of the comparison of a number of models - using the strategy of hierarchical confirmatory factor analysis (HCFA) and comparing nested and alternative models, specified under different assumed theories relative to a unidimensional concept of general intelligence, a traditional factorial concept, and a triarchic model - illustrate that the second-order factor model based on the triarchic theory of intelligence achieves the best (albeit far from perfect) fit to the empirical data.

Translation, Validation and Factor Structure of the Handling Bullying Questionnaire in Pakistan

2019 ◽  
Vol 34 (3) ◽  
pp. 497-510
Author(s):  
Namra Shahzadi ◽  
Bushra Akram ◽  
Saima Dawood ◽  
,Fayyaz Ahmad
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Future Research ◽  
Second Phase ◽  
Translation Validation ◽  
Confirmatory Factor ◽  
Two Phases

The current study was aimed to adapt, translate and validate The Handling Bullying Questionnaire (THBQ; Bauman, Rigby & Hoppa, 2008) into Urdu language. Present study was conducted in two phases, at the first phase THBQ was translated into Urdu language through standard procedures. Linguistic equivalence between Urdu and English version scale of THBQ was found (r = 0.75**) in pilot study. In the second phase of the study psychometric properties were established through Exploratory Factor Analysis and Confirmatory Factor Analysis. A sample of 400 participants was selected for administration of scale. Exploratory Factor Analysis retrieved 6 factors solutions in 22 items. Confirmatory Factor Analysis (CFA) confirmed five factor model with 16 items. Thus, findings indicted the Urdu version of THBQ may be valid and reliable. The questionnaire can be used in future research for the assessment of handling bullying behaviors among school children by teachers and counselors.

A confirmatory factor analysis of the structure of schizotypy

1995 ◽  
Vol 9 (4) ◽  
pp. 271-281 ◽  
Author(s):  
Oliver Mason
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Goodness Of Fit ◽  
Psychotic Disorders ◽  
Factor Model ◽  
Factor Solution ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Three Factor

Recent research into schizotypal traits has been concerned with the number and nature of these personality dimensions. Earlier exploratory factor analytic work using a wide variety of scales (the CSTQ) has generated a four‐factor solution but other solutions have been provided by other investigators. This study uses confirmatory factor analysis on a large sample to compare several plausible models of the relationships between scales. These models include a two‐factor model separating ‘positive’ from ‘negative’ schizotypal features, a three‐factor model including features of cognitive disorganization, and the four‐factor model generated previously by exploratory factor analysis. Results offer support for the four‐factor solution as the only structure meeting multiple criteria for goodness of fit. The relevance of Eysenck's dimensions, and the P scale in particular, to the results is discussed. Attention is drawn to the possibility that the factors describe predispositions of risk of psychotic disorders beyond that of schizophrenia.

scholarly journals Validity Evidence for the Reduced Version of the Young Parenting Inventory (YPI)

2013 ◽  
Vol 23 (56) ◽  
pp. 293-300 ◽  
Author(s):  
Felipe Valentini ◽  
Joao Carlos Alchieri ◽  
Jacob Arie Laros
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Factor Model ◽  
Five Factor Model ◽  
Family Processes ◽  
Validity Evidence ◽  
Fit Indices ◽  
Five Factors ◽  
Confirmatory Factor

To gain more insight in family processes, psychometrically tests are required. The present study aimed to adapt a reduced version of the Young Parenting Inventory (YPI) to the Portuguese language and to obtain evidence of its validity. The instrument was administered to a sample of 920 persons (59% female) with an average age of 21.3 years. Exploratory factor analysis indicated the existence of five factors explaining approximately 45% of the variance. Confirmatory factor analysis showed fit indices above.80. In comparison with other models, the five factor model showed a better fit to the data. Between the YPI and Familiograma (another test of family processes) moderate correlations were observed. The results of this study suggest satisfactory evidence of the validity for the YPI in Brazil.

Psychometric Properties of Creative Self-Efficacy Inventory Among Distinguished Students in Saudi Arabian Universities

2016 ◽  
Vol 118 (3) ◽  
pp. 902-917
Author(s):  
Khaled N. Alotaibi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Self Efficacy ◽  
Creative Thinking ◽  
Factor Model ◽  
Grade Point ◽  
Confirmatory Factor ◽  
Creative Self

This study examined the psychometric properties of the Arabic version of Abbott's Creative Self-Efficacy inventory. Saudi honors students (157 men vs. 163 women) participated. These students are undergraduates ( M age = 19.5 year, SD = 1.9) who complete 30 credit hours with a grade point average of no less than 4.5 out of 5. The results showed that the internal consistency (α = .87) and the test–retest reliabilities ( r = .73) were satisfactory. The study sample was separated into two subsamples. The data from the first subsample ( n = 60) were used to conduct an exploratory factor analysis, whereas the data from the second subsample ( n = 260) were used to perform a confirmatory factor analysis. The results of exploratory factor analysis and confirmatory factor analysis indicated that creative self-efficacy was not a unidimensional construct but consisted of two factors labeled “creative thinking self-efficacy” and “creative performance self-efficacy.” As expected, this two-factor model fit the data adequately, supporting prior research that treated creative self-efficacy as multidimensional construct.

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