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Abstract


Investigation of Factors Affecting Fishmeat Consumption with CHAID Algorithm
In this study, factors affecting the monthly fish meat consumption was investigated in the survey administered to 384 people with CHAID algorithm central district of Bingol province. The dependent variable used is in fish meat consumption. The independent variables are age, education level, occupation, number of households, vehicle ownership, place of residence, income, expenses, food expenses and monthly fish consumption. Using the coefficient of determination (R2), the corrected coefficient of determination and correlation coefficients were determined the effectiveness of the model. Factors affecting the fish meat consumption is determined with Regression tree. Factors affecting fish meat consumption are; monthly fish expenditure (Adjusted. P <0.01), city of residence time (Adjusted. P <0.01), total monthly expenditure (Adjusted. P <0.01), car ownership (Adjusted. P <0.01), the number of households (Adjusted. P <0.01), total monthly income (Adjusted. P <0.01) and job (Adjusted. P <0.01).The observed and predicted consumption of fish flesh correlation coefficient between 0.837, While the coefficient of determination (%) and the adjusted coefficient of determination (%) is calculated as 70.06and69.74respectively. On average, the most fishing consumptions are; Total monthly income was obtained from the sub-group of individuals whose monthly fish expenditure was BH > 240 TL and whose household number was more than 3 persons. Household income was found to be more influential on economic factors and household number of people in fish consumption.

Keywords
Regression tree, CHAID algorithm, Fish meat, Household


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