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Einrichtungen >> Fakultät Humanwissenschaften >>
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Fortgeschrittene Verfahren der Längsschnittanalyse: Ereignisanalyse II Diskrete Modelle (Vorlesung)- Dozent/in
- Dr. Gwendolin Bloßfeld
- Angaben
- Vorlesung
2 SWS, Zur Vorlesung gehört die Übung! Eine Anmeldung, über FlexNow, ist erforderlich! Bitte melden Sie sich bis zum 28.10.2020 über FlexNow zu der Veranstaltung an. Personen, die in FlexNow angemeldet sind, werden in den VC eingetragen. Personen, die in den VC eingetragen sind, erhalten hierüber alle Informationen zur Lehrveranstaltung.
Zeit und Ort: Einzeltermin am 5.11.2020, Einzeltermin am 12.11.2020, Einzeltermin am 19.11.2020, Einzeltermin am 11.2.2021, Einzeltermin am 18.2.2021, Einzeltermin am 25.2.2021 8:00 - 12:00, RZ/00.07
- Inhalt
- Description
Over the last two decades, social scientists have been collecting and analyzing event history data with increasing frequency. Illustrative examples of this type of substantive process can be given for a wide variety of social research fields: in labor market studies, workers move between unemployment and employment, full-time and part-time work, or among various kinds of jobs; in social inequality studies, people become a home-owner over the life course; in demographic analyses, men and women enter into consensual unions, marriages, or into father/motherhood, or are getting a divorce; in sociological mobility studies, employees shift through different occupations, social classes, or industries; in studies of organizational ecology, firms, unions, or organizations are founded or closed down; in political science research, governments break down, voluntary organizations are founded, or countries go through a transition from one political regime to another; in migration studies, people move between different regions or countries; in marketing applications, consumers switch from one brand to another or purchase the same brand again; in criminological studies, prisoners are released and commit another criminal act after some time; in communication analysis, interaction processes such as inter- personal and small group processes are studied; in educational studies, students drop out of school before completing their degrees, enter into a specific educational track, or later in the life course, start a program of further education; in analyses of ethnic conflict, incidences of racial and ethnic confrontation, protest, riot, and attack are studied; etc.
Depending on theoretical considerations about the process time axis and the degree of measurement accuracy of event times, the literature often distinguishes between discrete-time and continuous-time event history models. Discrete-time event history methods (1) either theoretically presuppose a discrete process time axis, i.e. that the events can only occur at fixed time intervals; (2) or they assume a continuous process time axis, i.e. that events can happen at any point in time, but that the measurement of these event times could only be achieved in a sequence of quite crude time intervals. For example, in some national panel studies events such as job shifts are only recorded as happening in yearly intervals. Various publications on discrete-time models are available in the literature. In the seminar, we will use a new book manuscript by Blossfeld, G.J. (forthcoming) and refer to Yamaguchi (1991), Singer and Willett (1993), Blossfeld and Blossfeld (2015a, 2015b)), and Blossfeld, Rohwer and Schneider (2019).
- Englischsprachige Informationen:
- Title:
- Advanced techniques in longitudinal analysis: Event history analysis
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 15
- Institution: Lehrstuhl für Soziologie, insbes. Soziale Ungleichheit
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