{smcl} {* 01aug2008}{...} {cmd:help pvtest} {right:also see: {help test} {help pv}} {hline} {title:Title} {p2colset 5 15 19 2}{...} {p2col :{hi:pvtest} {hline 2}}Test linear hypotheses after estimation with plausible values{p_end} {p2colreset}{...} {title:Syntax} {p 8 14 2} {cmdab:pvtest} {cmd:(}{it:{help test##spec:spec}}{cmd:)} [{cmd:(}{it:spec}{cmd:)} ...] {title:Description} {pstd} {opt pvtest} estimates Wald and t tests for linear hypotheses. It differs from {helpb test} only in how it calculates the t parameter, which is usually the degrees of freedom, for the t test. See {helpb pv} for formulas, references, and more information.{p_end} {title:Examples} {pstd} Estimating statistics with PISA {phang2}{cmd:. pv stratio propqual [aw=w_fstuwt], pv(pv*math) cmd("reg") brr rw(w_fstr*) fays(0.5)}{p_end} {phang2}{cmd:. pvtest stratio=propqual}{p_end} {phang2}{cmd:. pvtest stratio propqual}{p_end} {phang2}{cmd:. pv stratio [aw=w_fstuwt], pv(pv*math) bs bsops("reps(80) str(stratum) cl(schoolid)")}{p_end} {phang2}{cmd:. pvtest 3*stratio=9}{p_end} {phang2}{cmd:. pv stratio [aw=w_fstuwt], pv(pv*math)}{p_end} {phang2}{cmd:. pvtest stratio=2}{p_end} Estimating statistics with PIRLS {phang2}{cmd:. pv asbgsex [aw=tchwgt], pv(asrrea*) jkzone(jkzone) jkrep(jkrep) jrr timss}{p_end} {phang2}{cmd:. pvtest 3*asbgsex=9}{p_end} {title:Author} {pstd}Kevin Macdonald is a consultant with the Education Team in the World Bank's Human Development Network and has a master's degree in economics from the University of British Columbia in Vancouver, Canada. Please send questions, comments or complaints to kadmacdonald@gmail.com.{p_end} {title:Also see} {psee} {helpb test} {helpb pv} {title:Version} {pstd}Last updated 2008-08-01{p_end}