Structural equation modeling the use of a risk assessment instrument in child protective services

2007 ◽  
Vol 42 (4) ◽  
pp. 2137-2152 ◽  
Author(s):  
Dale Fitch
2020 ◽  
Vol 8 (4) ◽  
pp. 453-461
Author(s):  
Vahid Delshad ◽  
Hamidreza Khankeh ◽  
Abbas Ebadi ◽  
Mariola Bidzan ◽  
Gholamreza Harouni ◽  
...  

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Saeid Yazdanirad ◽  
Farideh Golbabaei ◽  
Abbas Rahimi Foroushani ◽  
Mohammad Reza Monazzam ◽  
Habibollah Dehghan

Abstract Background Need to a simple, available, accurate, comprehensive, and valid indicator is felt to assess thermal effects. Therefore, the present study was aimed to develop and validate the environmental heat strain risk assessment (EHSRA) index using structural equation modeling (SEM) based on empirical relations. Methods This cross-sectional study was performed on 201 male workers in environments with various climatic conditions. The heart rate and tympanic temperature of the individuals were monitored at times of 30, 60, and 90 min after beginning the work. At these times, values of dry temperature, wet temperature, globe temperature, and air velocity were also measured and metabolism rate and clothing thermal insulation value were estimated. At the end, a theoretical model was depicted in AMOS software and obtained coefficients were applied to develop a novel index. The scores of this indicator were categorized into four risk levels via ROC curves and validate using linear regression analysis. Results Indirect effect coefficients of the globe temperature, dry temperature, wet temperature, air velocity, metabolism, and clothing thermal insulation variables on the tympanic temperature were computed by 0.77, 0.75, 0.69, 0.24, 0.49, and 0.39, respectively. These coefficients were applied to develop the index. Optimal cut-off points of boundaries between risk levels included 12.02, 15.88, and 17.56. The results showed that the EHSRA index justified 75% of the variations of the tympanic temperature (R2 = 0.75). Conclusions The novel index possesses appropriate validity. It was suggested that this indicator is applied and validated in various environments in the next studies.


2021 ◽  
Vol 27 (4) ◽  
pp. 948-969
Author(s):  
Konstantinos Solakis ◽  
Jesús Peña-Vinces ◽  
Jesús M. Lopez-Bonilla ◽  
Luis F. Aguado

This study evaluates whether the Value Co-creation (VCC) process in hotels contributes to positive guest experience and satisfaction. This paper utilizes the DART model (Dialogue, Access, Risk, and Transparency) as the main framework to explore VCC in hotels. This research is the first to both adjust the DART model to a customer’s viewpoint and evaluate it in the hotel context. The included data is derived from 484 international tourists lodged in Greek hotels and is analyzed with the structural equation modeling technique. Results suggest that the Dialogue component of DART does not affect the positive experience, while Access, Transparency, and Risk Assessment do, in fact, strongly influence tourist satisfaction. The current study enriches and consolidates VCC–DART theory in the hotel context.


2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.


2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.


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