*! version 1.3 28Oct2008
help bollenstine (SJ9-3: st0169)

Title

bollenstine -- Bollen-Stine bootstrap following confirmatory factor analysis

Syntax

bollenstine [, reps(#)
saving(filename)
confaoptions(string)
bootstrap_options]

Description

bollenstine performs the Bollen and Stine (1992) bootstrap
following structural equation models (confirmatory factor analysis) estimation.
The original data are rotated to conform to the fitted structure.
By default, bollenstine refits the model
with rotated data and uses the estimates as
starting values in each bootstrap iteration. It also rejects samples
where convergence was not achieved (implemented through the reject(e(converged) == 0) option supplied to
bootstrap).

Options

reps(#) specifies the number of bootstrap replications.
The default is reps(200).

saving(filename) specifies the file
where the simulation results (the parameter estimates and the fit statistics)
are to be stored. The default is a temporary file that will
be deleted as soon as bollenstine finishes.

confaoptions(string) allows the transfer of confa
options to bollenstine. If nondefault model options (unitvar() and
correlated()) were used, one would need to use them with
bollenstine as well.

All nonstandard model options, like unitvar() or correlated(),
must be specified with bollenstine to produce correct results!

All other options are assumed to be bootstrap_options
and passed through to bootstrap.

Example

. use hs-cfa

. confa (vis: x1 x2 x3) (text: x4 x5 x6) (math: x7 x8 x9), from(iv) correlated(x7:x8)

. set seed 10101

. bollenstine, reps(200) confaoptions(iter(20) corr(x7:x8))

Reference

Bollen, K., and R. Stine. 1992.
Bootstrapping goodness-of-fit measures in structural
equation models. Sociological Methods and Research 21: 205-229.

Author

Stanislav Kolenikov

Department of Statistics

University of Missouri

Columbia, MO

kolenikovs@missouri.edu

Also see

Article: Stata Journal, volume 9, number 3: st0169

Online: confa, confa postestimation,
bootstrap (if installed)