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India's unilateral action of seizing Kashmiri's identity on Israeli model, has set ablaze the peace and stability in the South Asian region. Kashmiris have been robbed of their autonomy by Indian Prime Minister Modi and his hawkish government. The unilateral action by the Indian side is unprecedented, and demonstrates Indian stubbornness towards its neighbours in particular and world in general besides ridiculing the international institutions responsible for peace and security such as the United Nations Security Council (UNSC). Needless to remind, that Kashmir has been a bone of contention between Pakistan and India since their Independence in 1947. The Indian action of annexing Kashmir without taking into consideration sensitivities attached to it is likely to affect the contemporary world order, besides further strengthening realpolitik assumptions. The two neighbours, who are nuclear rivals, have already fought three full-fledged conventional wars over their tangent claims on Kashmiri territory, besides a limited war i.e. Kargil Conflict. If the Kashmir issue is not addressed in time, it may actualize yet another war between Pakistan and India which, if initiated, could spiral up into a 3rd World War having likely exchange of nuclear devices that might be the end of world due to the devastation attached. [ABSTRACT FROM AUTHOR]

The extent of support of extremist ideology is a major area of concern for both policy makers and academic researchers. Identifying the extent and correlates of a difficult to measure concept such as extremist ideology is often limited by the use of a single imperfect indicator. This paper outlines one approach, latent class analysis (LCA), to overcome this issue and uses the example of estimating support for such ideology in Pakistan. Using survey data from Pakistani men, the level of support is estimated using LCA employing several indicators related to extremism. The results suggest that although most Pakistanis are not supportive of extremist ideology, a substantively important portion of men are supportive. LCA also allows for class assignment, which is useful for understanding covariate relationships with the latent variable. Based on the results of the LCA, respondents are assigned to different classifications of extremist support, and a continuation-ratio logistic regression model is employed allowing for more covariates to be examined. The results suggest that there are a number of characteristics important in influencing support within this subset of the population. In particular, younger and less educated men are more likely to support extremism ideology. The results suggest a potentially useful methodology in understanding extremism, as well as a greater understanding of the problem of extremist support. [ABSTRACT FROM AUTHOR]

The extent of support of extremist ideology is a major area of concern for both policy makers and academic researchers. Identifying the extent and correlates of a difficult to measure concept such as extremist ideology is often limited by the use of a single imperfect indicator. This paper outlines one approach, latent class analysis (LCA), to overcome this issue and uses the example of estimating support for such ideology in Pakistan. Using survey data from Pakistani men, the level of support is estimated using LCA employing several indicators related to extremism. The results suggest that although most Pakistanis are not supportive of extremist ideology, a substantively important portion of men are supportive. LCA also allows for class assignment, which is useful for understanding covariate relationships with the latent variable. Based on the results of the LCA, respondents are assigned to different classifications of extremist support, and a continuation-ratio logistic regression model is employed allowing for more covariates to be examined. The results suggest that there are a number of characteristics important in influencing support within this subset of the population. In particular, younger and less educated men are more likely to support extremism ideology. The results suggest a potentially useful methodology in understanding extremism, as well as a greater understanding of the problem of extremist support. [ABSTRACT FROM AUTHOR]