Paper
Does Trends of Suicide Rate Cluster Geographically in India?
- Authors:
- Anjur Tupil Kanan; Narinder Kr Aggarwal; Anuradha Bansal; Ajay Kr Bansal
- Abstract
- The longitudinal data can always be represented in the form of polynomic trend on a graph which depicts the increasing or decreasing, linear or nonlinear behaviour of the data. Results on these trends without providing statistical analysis may be due to chance. In this exercise, the geographical trends of suicide rate from 1995 to 2009 are obtained for each State of India and are subjected to Average linkage between the groups method of Hierarchical Cluster Analysis using Bansal’s method of dissimilarity coefficient for longitudinal dataset (Bansal & Sharma 2003, Bansal & Sharma 2009), which indicates that these geographical trends tend to cluster and suggest 13 clusters for major States and Union Territories of India. Limitation of the method is that the trends which are more towards linearity in nature form distinct clusters rather than non linear trends. In this regard, some modifications in the method are required, which remains a question of further research. These clusters based on states will definitely help in the implementation of policies specific to administrative areas to alleviate this burden on the society.
- Keywords
- Geographical Time Trend; Cluster of Time Trends; Trends of Suicide Rate; Longitudinal DataTrends
- StartPage
- 56
- EndPage
- 62
- Doi
- 10.5963/LSMR0204001