Describe the theoretical model latent variables and the model of fit?

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Original prompt: Analyze a published article related to your D.N.P. Project topic that uses path analysis or structural equation modeling as the statistical application. Address the following points in your discussion.Are the statistical and theoretical assumptions met?Describe the theoretical model latent variables and the model of fit?Explain identification of the model?
When there are multiple variables, this model provides a flexible framework for developing and analyzing complex relationships that will allow the researcher to determine the validity of the theory while utilizing empirical models. One of the best things about this is its ability to manage measurement error, this is typically a limitation of studies. This model is typically used to test variables to see if there is a linear relationship present. It also tests patterns of relationships whether directional or nondirectional among a set of both observed and unobserved variables. The goals of SEM are to view a set of variables and understand the patterns of correlation/covariance between them and to determine the variance with the model that is determined (Tarka, 2017).I unfortunately was not able to find an article utilizing SEM for my scholarly project topic. Instead, I found an article about teaching hospitals and whether or not there is a relationship between organization culture and how knowledge management is implemented in hospitals. I chose this topic due to the fact that the organization I work for is a teaching facility. Knowledge management is utilized to manage organizational information. In any organization knowledge is considered having power. It’s very important that the organization utilizes and supports knowledge and that they show this through their organizational culture.For this study there were 570 participants. Out of this number there was 66.7% females and 33.3% males. When it comes to participants, 57.6% had less than ten years of work experience. A large majority of participants were between the ages of 31-40 years old (50.4%). The SEM analysis indicated the good fit of the model χ2/df = 2.12, the root mean square of error of approximation (RMSEA) = 0.04, goodness of fit index (GFI) = 0.95, adjusted goodness of fit index (AGFI) = 0.9, normed fit index (NFI)= 0.99. When it comes to which type of culture has the greatest effect and significance; the top two were trust and collaboration. In teaching hospitals, the culture that had the least impact on the implementation of KM was learning (Rahbar et al., 2020). When it comes to RMSEA values closer to zero represent a good fit. For this study the RMSEA was 0.04. The GFI is the proportion of variance that is accounted for by the estimated population covariance. It should be >0.95 and for this study it was 0.95. Lastly, the NFI should be >0.90 and for this study it was 0.99. This study evaluated the importance of different types of organizational culture (OC) such as learning, collaboration, and trust culture. The conclusion of this study is that the mean scores of KM and OC components were moderate, and it is suggested that the hospital should focus on programs that implement trust and collaboration in order to improve the current culture.Rahbar, A., Nasiripour, A. A., & Mahmoodi-Majdabadi, M. (2020). Structural equation modeling to explore the relationship between organizational culture dimensions and implementation of knowledge management in teaching hospitals. Health Scope, 9(2). https://doi.org/10.5812/jhealthscope.96868Tarka, P. (2017). An overview of structural equation modeling: Its beginnings, historical development, usefulness and controversies in the social sciences. Quality & Quantity, 52(1), 313–354. https://doi.org/10.1007/s11135-017-0469-8