Because of the scaling of the unobserved latent dependent variable in logistic and probit multilevel models, the lowest level residual variance is always pi^2/3 (logistic regression) or 1.0 (probit regression). As a consequence, a change of regression coefficients and variance components between...

Biplots display correlations and differences in means and standard deviations of many variables on one graph, together with the values of the plotted variables and approximations of the Euclidean distance between the observations. Biplots are useful for identifying clusters of observations,...

Sequences are ordered lists of elements. A typical example is the sequence of bases in DNA. Other examples are sequences of employment stages during a lifetime or individual party preferences over time. Sequence analysis include techniques to handle, describe, and, most importantly, compare...

Biplots display correlations and differences in means and standard deviations of many variables on one graph, together with the values of the plotted variables and approximations of the Euclidean distance between the observations. Biplots are useful for identifying clusters of observations,...

Outdat is a Stata program to transfer data from Stata to other statistical packages. Outdat writes data to a disk file in ASCII format and makes a dictionary to read the data into SPSS, Stata or Limdep. The presentation shows how outdat works and how to expand outdat to other data-formats.

Charts are useful tools for comparing a statistic between groups defined by a categorical variable with many different categories. It has turned out from a number of postings on Statalist that Stata’s standard implementation of these graphs with graph dot and graph bar often limits the the...

This presentation will illustrate several uses of the programs in the dirtools package. dirtools is a collection of programs designed to deal with native Stata files (that is, .dta, .do, .ado, .mata, or .gph) and some of the more frequently generated file formats (.eps, .pdf, and .tex). The...

In a series of recent articles, Karlson, Holm, and Breen have developed a method for comparing estimated coefficients of nested nonlinear probability models. The KHB method is a general decomposition method that is unaffected by the rescaling or attenuation bias that arises in cross- model...