Yoksulluk Düzeyinin Modellenmesi Üzerine Bir Araştırma

This is a study that all of the 48 ghettos which take part in Kecioren Social Solidarity and Interdependence Foundation's data base, have been chosen for sampling, asked some questions by questionnaire form and made some statistical analysis. The method of sampling is stratified random cluster sampling. These houses are the sample that demanded assistance to foundation between January and May in 2009 and their inspections were run out of time in 2007-2008. 238 of 1814 houses have been chosen to sample with 90% confidence level, 0,05 toleration quantity. The ghettos have been separated three categories as developed, underdeveloped, and undeveloped. Largeness of sample has been distributed as proportional to ghettos. Also largeness of layer has became number of houses in ghettos. In this study, the logistic regression analysis is used to determine the poverty level. In this analysis, dependent variable is defined as "must take help (1), must not take help (0)". The reason of the model gives possibility of taking help of people. It can be interpreted that if possibility is greater than 0, 5 this person needs help or not. The decision about getting help or not getting help is statistically true with 82, 8% for people who are completed observations.