Technical
presentation extending the single-spell discrete-time survival
analysis approach to multiple spells. Critical terms
are defined, a model specified, a likelihood function derived,
and a method of ML estimation developed. A data-based
example is provided, using data on the duration of repeated
spells of teaching in secondary schools.
Extended
comprehensive presentation of the application of single-spell
discrete-time survival analysis to investigate the onset
and cessation of critical human conditions (such as developmental
stage, psychological condition, addiction, etc.) and their
treatment. Issues of research design, measurement,
and data-analysis are discussed.
Technical
presentation of single spell discrete-time survival
analysis, with a data-based example. Critical terms
-- hazard probability, survivor probability, and median lifetime
-- are defined, a discrete-time likelihood function
is
derived, and a ML method of model-fitting and parameter
estimation, utilizing standard logistic regression
analysis, is described.
Parallel
presentation to the Singer & Willett (1991) paper that
overviews the implementation and argues for the advantages
of survival analysis for investigating the educational
career, particularly student dropout and teacher attrition. Issues
of research design, measurement, and data-analysis are
discussed.
Overview
of how survival analysis can be used to investigate human
development in order to address questions of whether and when developmental
milestones occur. Issues of research design, measurement,
and data-analysis are discussed.