A predictive potential exploration of emotions families and scripts model
Изследване на предсказващия потенциал на семейства от емоции и сценарии

Summary/Abstract: The article presents a results of regressive benchmark of two contradicted inferences about “simple emotions” and “life scripts” preferences with data accumulated with an experimental model for anonymous internet testing. It is developed as a simulation of important key concepts of Silvan Tomkins’s theory and to trial formulas which are useful to calculate proportions and advantage scores of different “scripts” labels. Multiply additive and interactive linear regression analysis has been applied to data analysis using two types of data encoding of responses to emotions categories and emotion laden-words. A genetic data matching between regression models is applied estimating the research logic, algorithm and sample biases. The analysis shows that nominal and interval encoding produce different regression models between two basic variables that could serve as predictors and consequents in the approbation synthetic model about families of simple emotions and complex emotional scripts. The model is available at https://testrain.info.

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