A Comparison of Classification Methods for Use in Predicting School-Based Outcomes
نویسندگان
چکیده
There is growing evidence that current classification methods are not consistent with current empirical knowledge of childhood psychopathology and the optimal way to classify school-age children remains controversial. The current study investigated three classification methods (categorical, dimensional, person-oriented) for use in predicting school-based outcomes. Children (grades 1-5; N=558) were administered the Behavior Assessment System for Children – Teacher Rating Scale and results were used to form three classification systems. Educational outcome variables were collected seven months later and the predictive validity of the three classification systems was compared using regression analyses. Findings indicated that all three methods for predicting educational outcomes were modest and were best able to predict later grade point averages. Results indicate the relative superiority of person-oriented and dimensional methods of classification; however these classification methods warrant further investigation.
منابع مشابه
Thyroid disorder diagnosis based on Mamdani fuzzy inference system classifier
Introduction: Classification and prediction are two most important applications of statistical methods in the field of medicine. According to this note that the classical classification are provided due to the clinical symptom and do not involve the use of specialized information and knowledge. Therefore, using a classifier that can combine all this information, is necessary. The aim of this s...
متن کاملFactors Influencing Drug Injection History among Prisoners: A Comparison between Classification and Regression Trees and Logistic Regression Analysis
Background: Due to the importance of medical studies, researchers of this field should be familiar with various types of statistical analyses to select the most appropriate method based on the characteristics of their data sets. Classification and regression trees (CARTs) can be as complementary to regression models. We compared the performance of a logistic regression model and a CART in predi...
متن کاملCombining fuzzy RES with GA for predicting wear performance of circular diamond saw in hard rock cutting process
Predicting the wear performance of circular diamond saw in the process of sawing hard dimensional stone is an important step in reducing production costs in the stone sawing industry. In the present research work, the effective parameters on circular diamond saw wear are defined, and then the weight of each parameter is determined through adopting a fuzzy rock engineering system (Fuzzy RES) bas...
متن کاملPredicting Twist Condition by Bayesian Classification and Decision Tree Techniques
Railway infrastructures are among the most important national assets of countries. Most of the annual budget of infrastructure managers are spent on repairing, improving and maintaining railways. The best repair method should consider all economic and technical aspects of the problem. In recent years, data analysis of maintenance records has contributed significantly for minimizing the costs. B...
متن کاملDevelopment and Comparison of Methods Based on Grey and Fractal Models for Predicting Natural Gas Prices
Today there is consensus regarding the importance of predicting the price of energy carriers for economic development, including natural gas as a preferred energy source on environmental grounds. In this paper we analyze the nonlinear behavior of natural gas prices over time by use of the Grey Method (GM), Developed Grey Method (DGM), Fractal Discrete Grey Method (FDGM) and a compound Method II...
متن کامل