Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract The paper aims at introducing a quantile approach in the Partial Least Squares path modeling framework. This is a ll known composite-based method for the analysis of complex phenomena measurable through a network of relationships among observed and unobserved variables. The proposal intends to enhance potentialities of the Partial Least Squares path models overcoming the classical exploration of average effects. The introduction of Quantile Regression and Correlation in the estimation phases of the model allows highlighting how and if the relationships among observed and unobserved variables change according to the explored quantile of interest. The proposed method is applied to two real datasets in the customer satisfaction measurement and in the sensory analysis framework but it proves to be useful also in other applicative contexts.
['Cristina Davino', 'Vincenzo Esposito Vinzi']
I am writing a research paper on a idea Quantile composite-based path modeling
[{"from": "human", "value": "I am writing a research paper on a idea Quantile composite-based path modeling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract The paper aims at introducing a quantile approach in the Partial Least Squares path modeling framework. This is a ll known composite-based method for the analysis of complex phenomena measurable through a network of relationships among observed and unobserved variables. The proposal intends to enhance potentialities of the Partial Least Squares path models overcoming the classical exploration of average effects. The introduction of Quantile Regression and Correlation in the estimation phases of the model allows highlighting how and if the relationships among observed and unobserved variables change according to the explored quantile of interest. The proposed method is applied to two real datasets in the customer satisfaction measurement and in the sensory analysis framework but it proves to be useful also in other applicative contexts."}]