ERIC Number: ED173202
Record Type: RIE
Publication Date: 1978-Oct
Reference Count: 0
Final Report for Dynamic Models for Causal Analysis of Panel Data. Methods for Temporal Analysis. Part I, Chapter 1.
Hannan, Michael T.; Tuma, Nancy Brandon
This document is part of a series of chapters described in SO 011 759. Working from the premise that temporal analysis is indispensable for the study of change, the document examines major alternatives in research design of this nature. Five sections focus on the features, advantages, and limitations of temporal analysis. Four designs which concern both quantitative and qualitative outcomes are evaluated: panel, event-count, event-sequence, and event-history. Panel designs record state occupancy of a sample of units at two or more points in time; for example, voters disclose voting intentions in a sequence of surveys leading up to an election. An event-count records the number of different types of events in an interval (employed, unemployed; married, not married). An event-sequence design records the sequences of states occupied by each unit and is useful in a study of careers. An event-history design records timing of all moves in a sequence. For example, a study of collective violence recorded the dates of all such events greater than some minimal scope. Conclusions are that event-counts, event-sequences, and event-histories permit much finer model testing and should be used more often in sociological research. Also, sociologists have begun to devote more attention to modeling change processes which permit richer use of temporal data. Finally, the need to examine linked changes in quality and quantity is expressed. (Author/KC)
Publication Type: Reports - Research
Education Level: N/A
Sponsor: National Inst. of Education (DHEW), Washington, DC.; National Science Foundation, Washington, DC.
Authoring Institution: Stanford Univ., CA.
Note: Page 14 of the original document is missing; For related documents, see SO 011 759-772