Development of an occupational challenge assessment tool using Bayesian structural equation modeling

Purpose. The purpose of this study was to develop an assessment tool specifically for evaluating occupational challenge, and to test its validity and reliability.Methods. Our prototype Occupational Challenge Assessment (OCA) was developed from the relevant literature with inputs from an expert panel and was generated by assessing content and face validity. This was tested by recruiting 103 hospitalized patients with physical dysfunction. The final version of the OCA was developed by assessing item validity, item response, construct validity, structural validity, hypothesis testing (convergent and discriminant validity), concurrent validity, internal consistency reliability, and test–retest validity using Bayesian structural equation modeling for categorical data.Results. The final version of the OCA included 13 items and addressed both personal challenge and environmental challenge. It had satisfactory validity and reliability.Discussion. The OCA can be used to assess the state of occupational challenge for clients with physical dysfunction. Furthermore, it may be able to properly quantify the occupational challenge. Use of the OCA may assist occupational therapists with supporting the transition of clients from hospitalization to community living.

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Further Insights Into the German Version of the Multidimensional Assessment of Interoceptive Awareness (MAIA)

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000404 ◽

2019 ◽

Vol 35 (3) ◽

pp. 317-325 ◽

Cited By ~ 6

Author(s):

Dorota Reis

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Interoceptive Awareness ◽

Multidimensional Assessment ◽

New Instrument ◽

Confirmatory Factor ◽

Complex Models ◽

Approximate Zero ◽

Bayesian Structural Equation Modeling

Abstract. Interoception is defined as an iterative process that refers to receiving, accessing, appraising, and responding to body sensations. Recently, following an extensive process of development, Mehling and colleagues (2012) proposed a new instrument, the Multidimensional Assessment of Interoceptive Awareness (MAIA), which captures these different aspects of interoception with eight subscales. The aim of this study was to reexamine the dimensionality of the MAIA by applying maximum likelihood confirmatory factor analysis (ML-CFA), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM). ML-CFA, ESEM, and BSEM were examined in a sample of 320 German adults. ML-CFA showed a poor fit to the data. ESEM yielded a better fit and contained numerous significant cross-loadings, of which one was substantial (≥ .30). The BSEM model with approximate zero informative priors yielded an excellent fit and confirmed the substantial cross-loading found in ESEM. The study demonstrates that ESEM and BSEM are flexible techniques that can be used to improve our understanding of multidimensional constructs. In addition, BSEM can be seen as less exploratory than ESEM and it might also be used to overcome potential limitations of ESEM with regard to more complex models relative to the sample size.

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Investigating the theoretical structure of the DAS-II core battery at school age using Bayesian structural equation modeling

Psychology in the Schools ◽

10.1002/pits.22096 ◽

2017 ◽

Vol 55 (2) ◽

pp. 190-207 ◽

Cited By ~ 13

Author(s):

Stefan C. Dombrowski ◽

Philippe Golay ◽

Ryan J. McGill ◽

Gary L. Canivez

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

School Age ◽

Theoretical Structure ◽

Bayesian Structural Equation Modeling

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Validity and Internal Consistency of the Preschool-FLAT, a New Tool for the Assessment of Food Literacy in Young Children from the Training-To-Health Project

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17082759 ◽

2020 ◽

Vol 17 (8) ◽

pp. 2759

Author(s):

Garden Tabacchi ◽

Giuseppe Battaglia ◽

Giuseppe Messina ◽

Antonio Paoli ◽

Antonio Palma ◽

...

Keyword(s):

Internal Consistency ◽

Content Validity ◽

Structural Equation ◽

Discriminant Validity ◽

Assessment Tool ◽

Intervention Group ◽

Equation Modeling ◽

Control Group ◽

Food Literacy ◽

Health Project

Background: The importance of assessing “food literacy” since youth has been highlighted and, to this purpose, valid and consistent instruments are needed. This study aimed to assess the validity and internal consistency of the preschool-FLAT (Food Literacy Assessment Tool). Methods. 505 children from 21 kindergartens, recruited within the Training-to-Health Project in Palermo (Italy), underwent oral sessions and activities on food-related aspects. Their knowledge/skills were recorded in the preschool-FLAT. The following scale measures were assessed: Content validity; internal consistency (Chronbach’s alpha coefficients); construct validity (Structural Equation Modeling—SEM); discriminant validity (intervention subgroup of 100 children vs. control group of 27 children). Results. Acceptable content validity of a 16-items scale and overall adequate internal consistency were revealed: Content validity index (CVI) 0.94, content validity ratio (CVR) 0.88, Chronbach’s alpha 0.76. The SEM revealed a 4-factor model fitting the data well (comparative fit index 0.939, root mean square error of approximation 0.033). Discriminant validity was good (intervention group scoring higher than control, p < 0.001, unpaired Student’s t-test). Conclusion. The preschool-FLAT revealed good psychometric properties, adequate validity and internal consistency. This is the only instrument in the literature specifically targeted to 3–6 years old children that could be effectively used to assess food literacy.

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Managerial Leadership and Performance as Fully Mediated by Transformational Leadership through Structural Equation Modeling

International Journal of Social Science and Human Research ◽

10.47191/ijsshr/v4-i6-48 ◽

2021 ◽

Vol 04 (06) ◽

Author(s):

Arthur Ong Buenavista ◽

Keyword(s):

Transformational Leadership ◽

Structural Equation Modeling ◽

Structural Equation ◽

Discriminant Validity ◽

School Administrators ◽

Information Criterion ◽

Equation Modeling ◽

Managerial Leadership ◽

Equivalent Models ◽

And Performance

This study investigated the relationships among managerial leadership, transformational leadership, and performance of school administrators of Northern Iloilo Polytechnic State College (NIPSC) through Structural Equation Modeling (SEM). Covariance-Based SEM (CB-SEM), Confirmatory Factor Analysis (CFA) with its default Maximum Likelihood Estimation (MLE) were used to test the hypothesized model that managerial leadership covary transformational leadership which were both related to the school administrators’ performance. Results revealed that of the eight alternative models, two equivalent models, one model generates every probability distribution that can be generated by another model, Model B3 and Model D3 were generated, got the smallest Alkaike Information Criterion (AIC) and Bayes Information Criterion (BIC) indicating that both models had relatively better fit. Model B3 and Model D3 have the same degrees of freedom but feature a different configuration of paths among the same variables. However, of the two equivalent models, model B3 was rejected due to discriminant validity concerns while model D3 passed both measurement model and structural model, model D3 was confirmed and retained. As contribution to the fields of education, management and leadership, the researcher confirmed and recommends, through CB-SEM using CFA with its default MLE, the Managerial Leadership and Performance as fully mediated by Transformational Leadership Model.

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Bayesian Structural Equation Modeling of the WISC-IV With a Large Referred U.S. Sample

PsycEXTRA Dataset ◽

10.1037/e558972014-001 ◽

2014 ◽

Author(s):

Philippe Golay ◽

Thierry Lecerf ◽

Marley W. Watkins ◽

Gary L. Canivez

Keyword(s):

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Bayesian Structural Equation Modeling

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Evaluating the Construct Validity of Ryff’s Scales of Psychological Well-Being Using Exploratory Structural Equation Modeling

Journal of Psychoeducational Assessment ◽

10.1177/0734282916652756 ◽

2016 ◽

Vol 35 (6) ◽

pp. 633-638 ◽

Cited By ~ 1

Author(s):

Hsien-Yuan Hsu ◽

Tze-Li Hsu ◽

KoFan Lee ◽

Lori Wolff

Keyword(s):

Structural Equation Modeling ◽

Construct Validity ◽

Structural Equation ◽

Discriminant Validity ◽

Well Being ◽

The United States ◽

Equation Modeling ◽

Exploratory Structural Equation Modeling ◽

Psychological Well Being ◽

Measurement Models

The purpose of this study was to evaluate the construct validity of Ryff’s Scales of Psychological Well-Being (SPWB) using exploratory structural equation modeling (ESEM). The data were drawn from the national survey of Midlife in the United States conducted during 1994 and 1995. Measurement models assuming different number of factors (1-6 factors) and considering the effect of negatively wording items were specified and compared to determine optimal number of underlying factors. The discriminant validity was assessed following Farrell’s suggestions. The results showed the discriminant validity was questionable due to five indicators with considerable cross-loadings.

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