homelessness structural functional theory google scholar

This, in turn, allows for a much more realistic picture of homelessness.

The FCM technique captures greater degrees of dynamism and complexity than static models, allowing relevant concepts to be manipulated and interacted. Prior graphic maps of homelessness have been of limited use due to the dynamic nature of the concepts related to homelessness. Results of these trials were explainable according to current empirical knowledge related to homelessness. We then used these weighted relationships in a FCM to test the effects of increasing or decreasing individual or groups of factors. Using FL we converted information, taken from recently published, peer reviewed articles, for a select group of factors related to homelessness and then calculated the strength of influence (weights) for pairs of factors. Methodsįuzzy Logic (FL) and fuzzy cognitive maps (FCMs) are particularly suited to the modeling of complex social problems, such as homelessness, due to their inherent ability to model intricate, interactive systems often described in vague conceptual terms and then organize them into a specific, concrete form (i.e., the FCM) which can be readily understood by social scientists and others. Historic models, which are static in nature, have only been marginally successful in capturing these relationships. Together these factors impact levels of homelessness through their dynamic relations. Social forces such as addictions, family breakdown, and mental illness are compounded by structural forces such as lack of available low-cost housing, poor economic conditions, and insufficient mental health services. The forces which affect homelessness are complex and often interactive in nature.

Homelessness structural functional theory google scholar