A Study on Stress and Coping among Parents and Students using Statistical and Data Mining Techniques

ABSTRACT: Parents are often faced with managing a busy schedule including job related responsibilities, household duties and preparing their children to school. These demands occasionally result in parenting stress. Parenting stress is associated with both parenting behaviours and child adjustment. The main objective of this study is to explore the subjective experiences of families of school going children, specifically the sources of stress and coping for these families. Interviews were conducted with families to shed light on their subjective experiences of coping and stress. This study aims to apply data mining techniques to predict the sources of parent's stress and children's stress. Data are received by well set of questionnaire. Attributes are selected with chi squared attribute selection and ranker algorithm. J48 and FT algorithm are used to classify the stress sources. Apriori algorithm is used to find stress sources with best rule. Parent and children data set are clustered by five groups using Simplekmeans algorithm. Attribute selection, Classification, Association and Cluster analysis are done in WEKA tool. Frequency analysis and Hypothesis testing's done in SPSS tool. There are many coping strategies are found from this study. Key Words : Child Stress, Data Mining, Parents Stress, Stress Management