Interaction and Quadratic effect on Cardio Vascular Disease: A Nonlinear Structural Equation Modeling
- Assistant Professor College (Autonomous) Chennai – 600 034, India.
- Associate Professor, Loyola College (Autonomous) Chennai – 600 034, India.
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Most of the statistical research studies concentrate on linear approaches to build the model to bring out the relationship among the variables. In the past two decades, many researchers introduced a latent nonlinear approach in Structural Equation Modeling. The Nonlinear models obtain simultaneous Interaction and Quadratic effects. In this paper, Latent Moderated Structural Equation Model, Constrained Approach and Unconstrained Approach are applied for the primary data of 405 patients who are affected by Cardio Vascular Disease. The efficacy of the model is also discussed.
[S. Xavier and T. Leo Alexander (2015); Interaction and Quadratic effect on Cardio Vascular Disease: A Nonlinear Structural Equation Modeling Int. J. of Adv. Res. 3 (Oct). 832-841] (ISSN 2320-5407). www.journalijar.com