scholarly journals Construct validity test of evaluation tool for professional behaviors of entry-level occupational therapy students in the United States

2016 ◽  
Vol 13 ◽  
pp. 22 ◽  
Author(s):  
Hon K. Yuen ◽  
Andres Azuero ◽  
Kaitlin W. Lackey ◽  
Nicole S. Brown ◽  
Sangita Shrestha
Keyword(s):  
Factor Analysis ◽  
Factor Model ◽  
Internal Consistency Reliability ◽  
The United States ◽  
Professional Behavior ◽  
Factor Solution ◽  
Professional Behaviors ◽  
Entry Level ◽  
Confirmatory Factor ◽  
Three Factor

Purpose: This study aimed to test the construct validity of an instrument to measure student professional behaviors in entry-level occupational therapy (OT) students in the academic setting. Methods: A total of 718 students from 37 OT programs across the United States answered a self-assessment survey of professional behavior that we developed. The survey consisted of ranking 28 attributes, each on a 5-point Likert scale. A split-sample approach was used for exploratory and then confirmatory factor analysis. Results: A three-factor solution with nine items was extracted using exploratory factor analysis [EFA] (n=430, 60%). The factors were ‘Commitment to Learning’ (2 items), ‘Skills for Learning’ (4 items), and ‘Cultural Competence’ (3 items). Confirmatory factor analysis (CFA) on the validation split (n=288, 40%) indicated fair fit for this three-factor model (fit indices: CFI=0.96, RMSEA=0.06, and SRMR=0.05). Internal consistency reliability estimates of each factor and the instrument ranged from 0.63 to 0.79. Conclusion: Results of the CFA in a separate validation dataset provided robust measures of goodness-of-fit for the three-factor solution developed in the EFA, and indicated that the three-factor model fitted the data well enough. Therefore, we can conclude that this student professional behavior evaluation instrument is a structurally validated tool to measure professional behaviors reported by entry-level OT students. The internal consistency reliability of each individual factor and the whole instrument was considered to be adequate to good.

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 A factor analytic examination of the Achievement Goal Questionnaire-Revised: A three-factor model

2017 ◽  
Author(s):  
Kamden K Strunk
Keyword(s):  
Factor Analysis ◽  
Undergraduate Students ◽  
Achievement Goals ◽  
Factor Model ◽  
Achievement Goal ◽  
Factor Solution ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Best Fit ◽  
Three Factor

The literature in achievement goals includes mixed results as to the factor structure of achievement goal measures, particularly the Achievement Goal Questionnaire, Revised (AGQ-R). In a sample of 1,496 undergraduate students (600 men, 891 women, 5 gender unreported; M age = 20.6 yr., SD = 3.2), the AGQ-R was subjected to an exploratory factor analysis that suggested three factors. Then, in a different sample of 1,125 undergraduate students (270 men, 750 women, 5 gender unreported; M age = 21.7 yr., SD = 5.4), the measure was subjected to a confirmatory factor analysis, in which a three-factor solution, again, showed the best fit to the observed data. The implications of these results for the measurement of achievement goals are discussed.

scholarly journals A Factor Analytic Examination of the Achievement Goal Questionnaire–Revised Supports a Three-Factor Model

2014 ◽  
Vol 115 (2) ◽  
pp. 400-414 ◽  
Author(s):  
Kamden K. Strunk
Keyword(s):  
Factor Analysis ◽  
Undergraduate Students ◽  
Achievement Goals ◽  
Factor Model ◽  
Achievement Goal ◽  
Factor Solution ◽  
Factor Analytic ◽  
Confirmatory Factor ◽  
Best Fit ◽  
Three Factor

The literature in achievement goals includes mixed results as to the factor structure of achievement goal measures, particularly the Achievement Goal Questionnaire–Revised (AGQ–R). In a sample of 1,496 undergraduate students (600 men, 891 women, 5 unreported sex; M age = 20.6 yr., SD = 3.2), the AGQ–R was subjected to an exploratory factor analysis that suggested three factors. Then, in a different sample of 1,125 undergraduate students (270 men, 750 women, 5 unreported sex; M age = 21.7 yr., SD = 5.4), the measure was subjected to a confirmatory factor analysis, in which a three-factor solution, again, showed the best fit to the observed data. The implications of these results for the measurement of achievement goals are discussed.

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 Structural Validity and Reliability of the Spanish Version of the White Bear Suppression Inventory (WBSI) in a Sample of the General Spanish Population

2008 ◽  
Vol 11 (2) ◽  
pp. 650-659 ◽  
Author(s):  
Manuel González Rodríguez ◽  
Pedro Avero Delgado ◽  
Anna Teresa Rovella ◽  
Rosario Cubas León
Keyword(s):  
Factor Analysis ◽  
General Population ◽  
Internal Consistency Reliability ◽  
Validity And Reliability ◽  
Suppression Factor ◽  
Factor Solution ◽  
Negative Thoughts ◽  
Confirmatory Factor ◽  
Test Retest Reliability ◽  
Over Time

This paper introduces the validation of the Spanish adaptation of the White Bear Suppression Inventory (WBSI) by Wegner and Zanakos (1994). A sample of 833 people from the general population completed the WBSI along with other questionnaires. The exploratory factor analysis and the confirmatory factor analysis supported a two-factor solution accounting for 51.8% of the cumulative variance. This structure is comprised of the two following factors: unwanted intrusive thoughts (α = .87, r = .70) and actions of distraction and suppression of thoughts (α = .80, r = .60). Both internal consistency reliability (α = .89) and test-retest reliability (r = .71) showed adequate homogeneity, sound consistency, and stability over time. The results are discussed bearing in mind both isolated factors and the possible relationships of the suppression factor with automatic negative thoughts and insomnia.

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.

Measurement Structure of the Coping Strategies Questionnaire-24 in a Sample of Individuals With Musculoskeletal Pain: A Confirmatory Factor Analysis

2014 ◽  
Vol 28 (2) ◽  
pp. 80-90 ◽  
Author(s):  
Chung-Yi Chiu ◽  
Joseph Jochman ◽  
Mayu Fujikawa ◽  
David Strand ◽  
Gladys Cheing ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Musculoskeletal Pain ◽  
Coping Strategy ◽  
Factor Model ◽  
Internal Consistency Reliability ◽  
Assistant Professor ◽  
Outpatient Rehabilitation ◽  
Confirmatory Factor

Purpose: To examine the factorial structure of the Coping Strategy Questionnaire-24 (CSQ-24) in a sample of Canadians with chronic musculoskeletal pain.Method: The sample included 171 workers’ compensation clients (50.9% men) recruited from outpatient rehabilitation facilities in Canada. Mean age of participants was 42.45 years (SD = 9.87). Confirmatory factor analysis (CFA) was used to evaluate the factorial validity of the CSQ-24.Results: CFA indicated that the respecified 4-factor model comprising 20-specific coping items provided the best fit between the model and data, with χ2/df = 2.009, CFI = 0.916, RMSEA = .077. The Cronbach’s alpha coefficients for the 4 factors ranged from .80 to .86. The CSQ-24 correlated moderately in the predicted directions with pain intensity, activity interference, and depression, supporting its construct validity.Conclusion: The CSQ-24 was found to measure the 4 coping strategy factors reported by Harland and Georgieff (2003). It demonstrated good internal consistency reliability and construct validity and can be used as a brief coping measure for chronic pain clients in clinical rehabilitation settings.Chung-Yi Chiu, PhD, CRC, is an assistant professor, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign.

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.

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.

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