Version 2nd Edition

Multilevel Event History Analysis Training Datasets, 2003-2005

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Steele, F.

Description

This study includes five data files and corresponding exercise instructions.<br> <br> Four of the five data files and instructions were produced from the <a href="/findingData/ncdsTitles.asp">National Child Development Study datasets</a> for an ESRC-funded workshop on Multilevel Event History Analysis, held in February 2005. The workshop data includes three files in ASCII DAT format and one in SPSS SAV format. Further information and documentation beyond that included in this study, and <i>MLwiN</i> software downloads are available from the <a href="http://www.mlwin.com/" title="Centre for Multilevel Modelling"> Centre for Multilevel Modelling</a> web site.<br> <br> In addition, for the second edition of the study, example data and documentation for fitting multilevel multiprocess event history models using <i>aML</i> software were added to the dataset (the data file 'amlex.raw'). The <i>aML</i> syntax file that accompanies these data can also be found at the Centre for Multilevel Modelling web site noted above.<br> <br> The project from which these data were produced was conducted under the ESRC Research Methods programme. It involved the development of multilevel simultaneous equations models for the analysis of correlated event histories. The research was motivated by a study of the interrelationships between partnership (marriage or cohabitation) durations and decisions about childbearing, using event history data from the 1958 and 1970 British Birth Cohort studies (in the case of this dataset, NCDS).<br> <br> Additional aims and objectives of the project were to develop methodology for the analysis of complex event history data; provide means for implementing methodology in existing software; and provide social scientists with practical training in advanced event history analysis.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

31%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

University of London, Institute of Education, Centre for Longitudinal Studies

Assigned Domain

Subfield

Artificial Intelligence

Field

Computer Science

Domain

Physical Sciences

Confidence Score

40%

Source

Scholar Data Model

Normalization Factors

FT

30.77

CTw

1.00

MTw

1.00