Computed theoretical power for N=100 and N=200 scenarios
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Modules/ado/plus/b/bollenstine.sthlp
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Modules/ado/plus/b/bollenstine.sthlp
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{smcl}
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{* *! version 1.3 28Oct2008}{...}
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{cmd:help bollenstine} {right: ({browse "http://www.stata-journal.com/article.html?article=st0169":SJ9-3: st0169})}
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{hline}
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{title:Title}
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{p2colset 5 20 22 2}{...}
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{p2col :{hi:bollenstine} {hline 2}}Bollen-Stine bootstrap following confirmatory factor analysis
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{p2colreset}{...}
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{title:Syntax}
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{p 8 19 2}
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{cmd:bollenstine} [{cmd:,} {cmdab:r:eps(}{it:#}{cmd:) }
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{cmdab:sav:ing(}{it:filename}{cmd:) }
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{cmdab:confaopt:ions(}{it:string}{cmd:)}
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{it:bootstrap_options}]
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{p_end}
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{title:Description}
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{pstd}{cmd:bollenstine} performs the Bollen and Stine (1992) bootstrap
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following structural equation models (confirmatory factor analysis) estimation.
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The original data are rotated to conform to the fitted structure.
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By default, {cmd:bollenstine} refits the model
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with rotated data and uses the estimates as
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starting values in each bootstrap iteration. It also rejects samples
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where convergence was not achieved (implemented through the {cmd:reject(e(converged) == 0)} option supplied to
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{helpb bootstrap}).
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{title:Options}
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{phang}{cmd:reps(}{it:#}{cmd:)} specifies the number of bootstrap replications.
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The default is {cmd:reps(200)}.{p_end}
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{phang}{cmd:saving(}{it:filename}{cmd:)} specifies the file
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where the simulation results (the parameter estimates and the fit statistics)
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are to be stored. The default is a temporary file that will
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be deleted as soon as {cmd:bollenstine} finishes.{p_end}
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{phang}{opt confaoptions(string)} allows the transfer of {cmd:confa}
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options to {cmd:bollenstine}. If nondefault model options ({cmd:unitvar()} and
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{cmd:correlated()}) were used, one would need to use them with
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{cmd:bollenstine} as well.
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{phang}All nonstandard model options, like {cmd:unitvar()} or {cmd:correlated()},
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must be specified with {cmd:bollenstine} to produce correct results!
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{phang}All other options are assumed to be {it:bootstrap_options}
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and passed through to {helpb bootstrap}.
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{title:Example}
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{phang2}{cmd:. use hs-cfa}{p_end}
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{phang2}{cmd:. confa (vis: x1 x2 x3) (text: x4 x5 x6) (math: x7 x8 x9), from(iv) correlated(x7:x8)}{p_end}
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{phang2}{cmd:. set seed 10101}{p_end}
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{phang2}{cmd:. bollenstine, reps(200) confaoptions(iter(20) corr(x7:x8))}
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{title:Reference}
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{phang}{bind:}Bollen, K., and R. Stine. 1992.
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Bootstrapping goodness-of-fit measures in structural
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equation models. {it:Sociological Methods and Research} 21: 205-229.
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{p_end}
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{title:Author}
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{pstd}Stanislav Kolenikov{p_end}
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{pstd}Department of Statistics{p_end}
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{pstd}University of Missouri{p_end}
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{pstd}Columbia, MO{p_end}
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{pstd}kolenikovs@missouri.edu{p_end}
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{title:Also see}
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{psee}
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Article: {it:Stata Journal}, volume 9, number 3: {browse "http://www.stata-journal.com/article.html?article=st0169":st0169}
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{psee}Online: {helpb confa}, {helpb confa_estat:confa postestimation},
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{helpb bootstrap} (if installed){p_end}
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