Of the three hypotheses, only the disruption hypothesis is relevant for temporary migrant workers, yet its findings have been mixed. The research reported in the literature has so far focused on international migrants, many of whom have the prospect of becoming legal immigrants, while there is little research on the relation between migration and fertility for Southeast Asian labor migrants who are on employment contracts and cannot gain permanent residency. The literature on international migration contains three main explanations of the relationship-the disruption hypothesis, the adaptation hypothesis, and the selectivity hypothesis. The relationship between migrant workers’ migratory moves and their fertility is complex. Information about these common patterns could be used to inform the structure of future outpatient appointments. Neurology outpatient appointment sequences show great diversity, but there are some patterns which are common to specific diagnostic categories. Further analysis showed that there are 3 diagnosis categories which have significant influence over which cluster a patient falls into: seizure/epilepsy, movement disorders, and headache. SSA revealed that there were 11 distinct clusters of appointment sequence patterns. Among the 428 patients who had more than one appointment a 6 monthly cycle of appointments was apparent. Of 1315 patients 887 patients had only one appointment. Using SSA we create groups of similar appointment sequence patterns, and then analyse these clusters to determine if there are particular sequences common to different diagnostic categories.
We analyse sequences of appointments for the 18 months following a new appointment. SSA is an exploratory methodology which allows patterns within sequences of appointments to be discovered. We use State Sequence Analysis (SSA) on routinely collected data from a single neurology outpatient clinic. This study aims to explore the patterns of appointment type seen in outpatient neurology, in order to identify potential opportunities for change. To improve services, we first need to understand the current situation. Outpatient services in the UK, and in particular outpatient neurology services, are under considerable pressure with an ever-increasing gap between capacity and demand. It is our hope that the reader will take up the challenges and help us improve and grow SA into maturity.
#ITS SEQUENCE ANALYSIS SOFTWARE#
The paper provides a summary of (1) the important SA research and the historical contexts in which SA was developed by Andrew Abbott, (2) a thorough review of the many methodological developments in visualization, complexity measures, dissimilarity measures, group analysis of dissimilarities, cluster analysis of dissimilarities, multidomain/multichannel SA, dyadic/polyadic SA, Markov chain SA, sequence life course analysis, sequence network analysis, SA in other social science research, and software for SA, and (3) reflections on some future directions of SA including how SA can benefit and inform theory-making in the social sciences, the methods currently being developed, and some remaining challenges facing SA for which we do not yet have any solutions.
Using a life course analogy, we examined the birth of SA in the social sciences and its childhood (the first wave), its adolescence and young adulthood (the second wave), and its future mature adulthood in the paper.
The application of SA in the social sciences, especially in life course research, has mushroomed in the last decade and a half. This article marks the occasion of Social Science Research's 50th anniversary by reflecting on the progress of sequence analysis (SA) since its introduction into the social sciences four decades ago, with focuses on the developments of SA thus far in the social sciences and on its potential future directions.
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