Some Methods for the Analysis of Event Sequence Data from Multiple Respondents

Autor/inn/en	Martin, John Levi; Murphy, James P.
Titel	Some Methods for the Analysis of Event Sequence Data from Multiple Respondents
Quelle	In: Sociological Methods & Research, 50 (2021) 3, S.1321-1352 (32 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124118799387
Schlagwörter	Data Analysis; Theories; Algebra; Sequential Approach + Suchen Sie Ihr Suchwort? Auswertung; Theory; Theorie; Schrittfolge
Abstract	The analysis of sequence data poses a great challenge; existing methods for the comparison of sequences take what theoretical grounding they have from other fields (most importantly, genetics). We argue that set theory provides a way of establishing the relations between sequences that has a natural application to the case in which the sequences are orderings of a set of events, all compatible with an underlying partial order shared by multiple respondents. We also examine the possibility that observed differences in sequence data come from a stochastic process in which some events are poorly ordered because respondents cannot discriminate between them. We show that such methods shed light on several quantities that have been of interest to researchers, such as the degree of consensus within a group as to ideal sequences, the degree of respondent accuracy in reporting, and the degree to which plans and reality coincide. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01