By Gregory B. Markus
An advent to numerous options that could be utilized in the research of information from a panel examine -- details received from a good number of entities at or extra deadlines. the focal point of this quantity is on research instead of difficulties of sampling or layout, and its emphasis is on software instead of concept.
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Additional resources for Analyzing Panel Data (Quantitative Applications in the Social Sciences)
Most of Wiggins's discussion is in terms of the analysis of dichotomous data, although he shows how the procedure may be extended to polytomies. Assuming a dichotomous response variable with categories labeled 1 and 2, Wiggins adopts the following notation. Let C1, C2, . . , Cm be the m inferred latent classes at a single point in time and v1, v2, . . , vm be the proportions of the sample in each of the m latent classes at that time, where These latent proportions form one set of parameters to be estimated.
As such, it will be of great use in situations that meet its restrictive set of assumptions. If the change process under study does not display the "empirical regularity" presumed by Coleman's method, however, the researcher should employ an alternative analytical strategy. Log-Linear Models A final alternative approach to the analysis of categorical panel data consists of the system for the analysis of multivariate contingency tables devised by Goodman (1970, 1972a, 1972b). The Goodman method can be applied to polytomous data, although it is probably best suited to variables that are dichotomous.
A chi-square test indicates that, within each strata, the transition matrix is essentially constant over time. Mover-Stayer Model Blumen et al. (1955) applied a different approach to heterogeneous transition rates in a study of labor mobility. This model, termed the "mover-stayer" model, does not employ independent variables to stratify Page 17 the sample, but instead is based on the a priori assumption that the population may be divided into two subgroups, one which is perfectly stable from one time to the next and one for which movement from state to state is Markovian (see also, Goodman, 1961).