Peer Review of “Offenders With Personality Disorder Who Fail to Progress: A Case-Control Study Using Partial Least Squares Structural Equation Modeling Path Analysis” (Preprint)

Background: To model, the predictors of injuries caused the hospitalization of motorcyclists using a hybrid structural equation modeling-artificial neural network (SEM-ANN) considering a conceptual model.Methods: In this case-control study, 300 cases and 156 controls were enrolled using a cluster random sam- pling. The cases were selected among injured motorcyclists in refereed to Imam Reza Hospital and Tabriz Shohada Hospital, Tabriz, Iran since Mar 2013. The predictability of injury by motorcycle-riding behavior questionnaire (MRBQ), Attention-deficit/hyperactivity disorder (ADHD) along with its subscales and motor- cycle related variables was modeled using SEM-ANN. By SEM, linear direct and indirect relationships were assessed. To improve the SEM, the ANN was utilized sequentially to account for the nonlinear and interaction effects that is not supported by SEM.Results: The predictors of injury were: MRBQ, ADHD, and its subscales, marital status, education level, rid- ing for fun, engine volume, hyper active child, dark hour riding, cell phone answering, driving license (All P less than 0.05). In addition, the findings reveal the Mediating role of MRBQ for the relationship between underly- ing predictors and injury. Furthermore, ANN showed higher specificity (95.45 vs.77.88) and accuracy (90.76 vs.79.94) than usual SEM which lead us to introduce the second and third order effect of MRBQ into the modified SEM.Conclusion: The hybrid model provided results that are more accurate; considering the results of the model- ing, having intervention programs on ADHD motorcyclists, those have the hyperactive child, and those who answer their cell phones while driving, and improving the motorcyclists’ goal is highly recommended.

Download Full-text

Complex Relationships between Occupation, Environment, DNA Adducts, Genetic Polymorphisms and Bladder Cancer in a Case-Control Study Using a Structural Equation Modeling

PLoS ONE ◽

10.1371/journal.pone.0094566 ◽

2014 ◽

Vol 9 (4) ◽

pp. e94566 ◽

Cited By ~ 16

Author(s):

Stefano Porru ◽

Sofia Pavanello ◽

Angela Carta ◽

Cecilia Arici ◽

Claudio Simeone ◽

...

Keyword(s):

Bladder Cancer ◽

Structural Equation Modeling ◽

Genetic Polymorphisms ◽

Dna Adducts ◽

Structural Equation ◽

Case Control Study ◽

Case Control ◽

Equation Modeling ◽

Complex Relationships ◽

Control Study

Download Full-text

Offenders with Personality Disorder who Fail to Progress: A Case Control Study using PLS-SEM Path Analysis (Preprint)

JMIRx Med ◽

10.2196/27907 ◽

2021 ◽

Author(s):

Georgina Mathlin ◽

Mark Freestone ◽

Celia Taylor ◽

Jake Shaw

Keyword(s):

Personality Disorder ◽

Path Analysis ◽

Case Control Study ◽

Case Control ◽

Control Study

Download Full-text

KAJIAN ANALISIS JALUR DENGAN STRUCTURAL EQUATION MODELING (SEM) SMART-PLS 3.0

Jurnal Ilmiah Satyagraha ◽

10.47532/jis.v3i2.177 ◽

2020 ◽

Vol 3 (2) ◽

pp. 28-48

Author(s):

I Made Anom Arya Pering

Keyword(s):

Structural Equation Modeling ◽

Path Analysis ◽

Organizational Performance ◽

Least Squares ◽

Partial Least Squares ◽

Direct Effect ◽

Structural Equation ◽

Employee Performance ◽

Equation Modeling ◽

The Impact

Study on Path Analysis using Structural Equation Modeling (SEM) Smart Partial Least Squares (PLS) software version 3.0 with the aim of testing the Impact or Effect of Training on Employee Performance and Organizational Performance, whether it has a significant effect.The analysis results obtained are:First, the Effect of Employee Performance on Organizational Performance.The t-statistic value of 2.721 and the significance (t-table significance of 5% = 1.96) because the t-statistic value of 2.721 is greater () than the t-table of 1.96, Employee Performance has a "significant" effect on Organizational Performance.Second, the Effect of Training (Training) on Employee PerformanceThe t-statistic value of 2.688 significance (t-table significance of 5% = 1.96) because the t-statistic value of 2.688 is greater () than the t-table of 1.96, the Training has a "significant" effect on Employee Performance.Third, the Effect of Training (Training) on Organizational PerformanceThe t-statistic value of 0.338 significance (t-table significance of 5% = 1.96) because the t-statistic value of 0.338 is smaller () than t-table 1.96, the "insignificant" Training has a direct effect on Organizational Performance.

Download Full-text