The study of interaction patterns is increasingly centered on sequential concepts, such as turn-taking, the predominance of reciprocal utterances, and the strategic solicitation of preferred types of responses (see Conversation Analysis). Many scholars have used sequence techniques to model how work and family activities are linked in household divisions of labor and the problem of schedule synchronization within families. There has been a great deal of work on the sequential development of careers, and there is increasing interest in how career trajectories intertwine with life-course sequences. In sociology, sequence techniques are most commonly employed in studies of patterns of life-course development, cycles, and life histories. Scholars in psychology, economics, anthropology, demography, communication, political science, organizational studies, and especially sociology have been using sequence methods ever since. Sequence analysis methods were first imported into the social sciences from the information and biological sciences (see Sequence alignment) by the University of Chicago sociologist Andrew Abbott in the 1980s, and they have since developed in ways that are unique to the social sciences. ĭespite some connections, the aims and methods of SA in social sciences strongly differ from those of sequence analysis in bioinformatics. Introduced in the social sciences in the 80s by Andrew Abbott, SA has gained much popularity after the release of dedicated software such as the SQ and SADI addons for Stata and the TraMineR R package with its companions TraMineRextras and WeightedCluster. Broadly, SA provides a comprehensible overall picture of sets of sequences with the objective of characterizing the structure of the set of sequences, finding the salient characteristics of groups, identifying typical paths, comparing groups, and more generally studying how the sequences are related to covariates such as sex, birth cohort, or social origin. SA is a longitudinal analysis approach that is holistic in the sense that it considers each sequence as a whole. Such sequences are chronologically ordered unlike words or DNA sequences for example. Analyzed sequences are encoded representations of, for example, individual life trajectories such as family formation, school to work transitions, working careers, but they may also describe daily or weekly time use or represent the evolution of observed or self-reported health, of political behaviors, or the development stages of organizations. The following do not have licensure requirements for this profession: Alabama, Alaska, American Samoa, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Federated States of Micronesia, Florida, Georgia, Guam, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Marshall Islands, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Northern Marianas, Ohio, Oklahoma, Oregon, Palau, 6 Pennsylvania, Puerto Rico, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virgin Islands, Virginia, Washington, West Virginia, Wisconsin, Wyoming.įor more information about graduation rates, loan repayment rates, and post-enrollment earnings about this institution and other postsecondary institutions please click here.In social sciences, sequence analysis (SA) is concerned with the analysis of sets of categorical sequences that typically describe longitudinal data. This number has been withheld to preserve the confidentiality of the students. Of the students who completed this program within normal time, the typical graduate leaves with $ N/A of debt.įewer than 10 students completed this program within normal time. These costs ($1,692) were accurate at the time of posting but may have changed. There may be additional costs for living expenses. This program will cost $22,475 if completed within normal time. This program is designed to be completed in 24 months.
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