Structural Equation Modeling: An Alternative to Traditional Validation Techniques

1986 ◽  
Vol 14 (4) ◽  
pp. 345-352
Author(s):  
Margaret E. Bell ◽  
Jean A. Massey
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Equation Modeling ◽  
Fit Indices ◽  
T Values ◽  
Conditions Of Learning ◽  
Nursing Course ◽  
Cardiovascular Nursing

Validation of the sequencing of objectives is an important step in structural design. Prior statistical techniques, such as the reproducibility coefficient, have yielded only summary information. In contrast, structural equation modeling provides both goodness-of-fit indices and effect coefficients for links or paths between time-ordered events, i.e., objectives. Discussed here is the application of structural equation modeling to a set of objectives in a senior-level cardiovascular nursing course. Consistent with the theory-based requirement of structural equation modeling, the objectives were developed using Robert Gagné's conditions of learning. Also discussed is the use of “t” values, which indicate statistical significance of the paths, for testing instructional links in the learning model.

scholarly journals Resilience Analysis of Crisis in Medical Environments: A Structural Equation Modeling based on Crisis Management Components

2022 ◽  
Author(s):  
SAMIRA GHIYASI ◽  
FATEMEH VERDI BAGHDADI ◽  
FARSHAD HASHEMZADEH ◽  
AHMAD SOLTANZADEH
Keyword(s):  
Structural Equation Modeling ◽  
Crisis Management ◽  
Work Experience ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Fit Indices ◽  
Cross Sectional ◽  
Resilience Index ◽  
The Impact

Enhancing the index of crisis resilience is one of the key goals in medical environments. Various parameters can affect crisis resilience. The current study was designed to analyze crisis resilience in medical environments based on the crisis management components. This cross-sectional and descriptive-analytical study was performed in 14 hospitals and medical centers, in 2020. A sample size of 343.5 was determined based on the Cochran's formula. We used a 44-item crisis management questionnaire of Azadian et al. to collect data. The components of this questionnaire included management commitment, error learning, culture learning, awareness, preparedness, flexibility, and transparency. The data was analyzed based on the structural equation modeling approach using IBM SPSS AMOS v. 23.0. The participants’ age and work experience mean were 37.78±8.14 and 8.22±4.47 years. The index of crisis resilience was equal to 2.96±0.87. The results showed that all components of crisis management had a significant relationship with this index (p <0.05). The highest and lowest impact on the resilience index were related to preparedness (E=0.88) and transparency (E=0.60). The goodness of fit indices of this model including RMSEA, CFI, NFI, and NNFI (TLI) was 2.86, 0.071, 0.965, 0.972, and 0.978. The index of crisis resilience in the medical environments was at a moderate level. Furthermore, the structural equation modeling findings indicated that the impact of each component of crisis management should be considered in prioritizing measures to increase the level of resilience.  

scholarly journals Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

2019 ◽  
Vol 10 (5) ◽  
pp. 53
Author(s):  
Jean Marc Nacife ◽  
Frederico A. Loureiro Soares ◽  
Marconi Batista Teixeira ◽  
Leonardo Nazário S. dos Santos ◽  
Gustavo Castoldi
Keyword(s):  
Structural Equation Modeling ◽  
Production System ◽  
Structural Equation ◽  
Statistical Significance ◽  
Methodological Approach ◽  
Production Costs ◽  
Equation Modeling ◽  
Structural Quality ◽  
Sugarcane Production ◽  
Path Diagram

Agribusiness has played a strategic role for Brazil's development with the challenge of sustainable agriculture. It is proposed to determine, through Structural Equation Modeling (SEM), the validity and effects of the relationships between socioeconomic factors of the sugarcane production system in Quirinópolis, providing subsidies to the decision-making process of agricultural establishments. The research methodological approach was quantitative, applying techniques of normality statistics, hypothesis and multivariate analysis without statistical significance (P <0,05). A path diagram model was developed that presented structural quality adjustment and its validated explanatory equations, obtaining relevant R2. The results demonstrate that the Equation 1 (IBCcane = 0.02Rcane - 0.75ICcane – 0.46ISVO + 0.35ISPS + error) is explained in 73.7% of its variance (R2), in the Equation 2 (ICcane = 0.59ISVO – 0.45ISPS + 0.35SizeEstablis + error) successor vocation affects 42% on production costs and in the Equation 3 (Rcane = -0.40 AgroDistance – 0.16ISPS + error) the distance between farm and agribusiness influences 72% on the proposed revenue mix. The SEM analysis verified that social factors influence the economic factors that compose the sugarcane production system studied. The path diagram proved that the influence track relative to the costs in the proposed model is more representative than revenue for the economic results of rural sugarcane establishments. 

scholarly journals Explanation of Children’s Health through Parents’ Mental Health and Job Satisfaction by Structural Equation Modeling

2016 ◽  
Vol 9 (2) ◽  
pp. 166
Author(s):  
Majid Golzarpour ◽  
Meroe Vameghi ◽  
Homeira Sajjadi ◽  
Gholamreza Ghaedamini Harouni
Keyword(s):  
Mental Health ◽  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
General Health Questionnaire ◽  
Children's Health ◽  
Children’S Health ◽  
Equation Modeling ◽  
Health Questionnaire

<p><strong>BACKGROUND:</strong> Worldwide, much evidence exists on the influence of parents’ socioeconomic conditions, including employment, on children’s health. However, the mechanisms for this affect are still being investigated. Few studies have been conducted in Iran to investigate this issue. This study investigated working conditions, job satisfaction, and mental health of employed people and the association between these variables and their children’s health.<strong></strong></p><p><strong>MATERIALS &amp; METHODS:</strong> In this correlational work, 200 male and female staff of the official part of Educational Organization and the schools of Mashhad with children aged 5-18 years was randomly selected. The data were gathered using a demographic questionnaire, the 20-item Minnesota Job Satisfaction Questionnaire, the 28-item General Health Questionnaire, and the 28-item Child Health Questionnaire. The data were then analyzed using SPSS. The associations under study were investigated by structural equation modeling in AMOS.<strong></strong></p><p><strong>RESULTS:</strong> Approximately 17% of the variation in the parents’ job satisfaction could be explained by the parents’ insurance, income, and work hours; 6% of the variation in their mental health was explained by job satisfaction, and 26% of the variation in children’s health was directly explained by the parents’ job satisfaction and mental health. However, approximately 32.2% of the variation in children’s health could be explained in the light of the direct effect of the parents’ mental health and direct and indirect effects of the parents’ job satisfaction. The goodness of fit index was 0.94.</p><p><strong>CONCLUSION:</strong> Parents’ job satisfaction was associated with and considerably explained children’s health. Although this finding may be partially related to the job satisfaction effect on mental health, the reasons for the affect of job satisfaction on children’s health and the potential mechanisms of this association require further studies.<strong></strong></p>

scholarly journals MODEL PENGUKURAN TINGKAT KEPERCAYAAN PELANGGAN (ONLINE TRUST) TERHADAP SITUS E-COMMERCE (Studi Kasus pada Pelanggan E-Commerce di Provinsi Bali)

2018 ◽  
Vol 1 (3) ◽  
pp. 100
Author(s):  
I Made Endra Wiartika Putra ◽  
Gede Rasben Dantes ◽  
I Made Candiasa
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Snowball Sampling ◽  
Cronbach’S Alpha ◽  
Purposive Sampling ◽  
Online Trust ◽  
Cronbach's Alpha ◽  
Fit Index

Penelitian ini bertujuan untuk mengetahui model pengukuran tingkat kepercayaan pelanggan terhadap situs e-commerce. Langkah awal yang dilakukan yaitu identifikasi faktor-faktor yang mempengaruhi kepercayaan pelanggan melalui studi literatur dan studi empirik untuk menentukan model analisis terhadap kepuasan pelanggan. Faktor yang mempengaruhi kepercayaan pelanggan untuk bertransaksi secara online yaitu pengetahuan konsumen terhadap e-commerce, reputasi penjual, resiko dalam transaksi, kemudahan penggunaan e-commerce, jaminan sistem, sikap/perilaku terhadap sistem dan sistem keamanan. Populasi dalam penelitian ini adalah masyarakat Provinsi Bali menggunakan metode purposive sampling dan snowball sampling dengan kriteria responden pernah berkunjung dan melakukan transaksi di e-commerce yang ada di Indonesia lebih dari 3 kali. Instrumen penelitian berupa kuesioner dengan data interval berskala 5 Likert. Instrumen terlebih dahulu diuji validitas isi dengan metode Robert Gregory, validitas empiris menggunakan rumus product moment, reliabilitas instrument menggunakan Cronbach’s Alpha, dan menghasilkan 59 pernyataan yang dapat digunakan untuk pengambilan data. Jumlah responden yang digunakan dalam penelitian ini adalah sebanyak 126 responden. Teknik analisis data, pengujian hipotesis dan pengujian model menggunakan metode Structural Equation Modeling dengan bantuan aplikasi SPSS AMOS 21. Hasil penelitian ini melalui pengujian hipotesis menunjukkan bahwa pengetahuan tentang situs e-commerce dan perlindungan keamanan berpengaruh negatif dan tidak signifikan terhadap kepercayaan pelanggan. Resiko, kemudahan e-commerce, jaminan sistem dan sistem keamanan bukan menjadi sesuatu yang penting untuk dipertimbangkan dalam meningkatkan kepercayaan pelanggan karena pengaruhnya tidak signifikan. Reputasi yang dirasakan dan sikap merupakan hal yang perlu diperhatikan dan paling berpengaruh terhadap kepercayaan pelanggan pelanggan. Hasil penelitian ini kemudian diuji menggunakan goodness of fit index dan menghasilkan bahwa model penelitian tersebut dapat diterima dan dapat digunakan untuk meningkatkan keinginan pelanggan untuk bertransaksi online

Adoption of mobile banking services

2019 ◽  
Vol 37 (5) ◽  
pp. 1165-1189 ◽  
Author(s):  
Apostolos Giovanis ◽  
Pinelopi Athanasopoulou ◽  
Costas Assimakopoulos ◽  
Christos Sarmaniotis
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Content Type

PurposeThe purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.Design/methodology/approachDrawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.FindingsResults indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.Practical implicationsFindings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.Originality/valueThis is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.

scholarly journals Cutoff criteria for overall model fit indexes in generalized structured component analysis

2020 ◽  
Vol 8 (4) ◽  
pp. 189-202
Author(s):  
Gyeongcheol Cho ◽  
Heungsun Hwang ◽  
Marko Sarstedt ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Component Analysis ◽  
Model Fit ◽  
Equation Modeling ◽  
Generalized Structured Component Analysis ◽  
Root Mean Square Residual ◽  
Fit Indexes ◽  
Cutoff Criteria

AbstractGeneralized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model evaluation, including the goodness-of-fit index (GFI) and the standardized root mean square residual (SRMR). While these indexes have a solid standing in factor-based structural equation modeling, nothing is known about their performance in GSCA. Addressing this limitation, we present a simulation study’s results, which confirm that both GFI and SRMR indexes distinguish effectively between correct and misspecified models. Based on our findings, we propose rules-of-thumb cutoff criteria for each index in different sample sizes, which researchers could use to assess model fit in practice.

Organizational Commitment As Influenced by Leadership Behavior of Administrators, Job Satisfaction and Burnout of Teachers: A Structural Equation Modeling

10.17158/228 ◽  
2012 ◽  
Vol 18 (1) ◽  
Author(s):  
Felix C. Chavez, Jr.
Keyword(s):  
Job Satisfaction ◽  
Structural Equation Modeling ◽  
Organizational Commitment ◽  
Structural Equation ◽  
Quantitative Research ◽  
Goodness Of Fit ◽  
Leadership Behavior ◽  
Stepwise Multiple Regression ◽  
Equation Modeling ◽  
Best Fit

This study was conducted to determine the best fit model of organizational commitment. Specifically, it established the interrelationship among leadership behavior, job satisfaction, burnout, and organizational commitment. Quantitative research design was utilized in this study. The data were gathered from the teachers among the randomly selected academic institutions in Region XI, Philippines. Moreover, sets of survey questionnaires were used as instruments to obtain information from the participants. Pearson product moment correlation was used to find the significance of the relationship between the independent and dependent variables. Stepwise multiple regression analysis was used to identify the variables that best predict organizational commitment and likewise Structural Equation Modeling was used to identify the model that best fits organizational commitment. The findings revealed that the over-all leadership behavior of administrators and organizational commitment of teachers were high. On the other hand, the job satisfaction of teachers was moderate and their degree of burnout was low. Furthermore, the leadership behavior, job satisfaction, and burnout were highly correlated with organizational commitment, and found to be significant predictors of organizational commitment. Finally, the best fit model of organizational commitment was the Hypothesized Model 5, which passed all the goodness of fit indices criteria.

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