Mplus Users Guide v6.. - Muthén & Muthén

ANALYSIS CommandFollowing is a description of what the above estimator settings represent:• ML – maximum likelihood parameter estimates with conventionalstandard errors and chi-square test statistic• MLM – maximum likelihood parameter estimates with standarderrors and a mean-adjusted chi-square test statistic that are robust tonon-normality. The MLM chi-square test statistic is also referred toas the Satorra-Bentler chi-square.• MLMV – maximum likelihood parameter estimates with standarderrors and a mean- and variance-adjusted chi-square test statistic thatare robust to non-normality• MLR – maximum likelihood parameter estimates with standarderrors and a chi-square test statistic (when applicable) that are robustto non-normality and non-independence of observations when usedwith TYPE=COMPLEX. The MLR standard errors are computedusing a sandwich estimator. The MLR chi-square test statistic isasymptotically equivalent to the Yuan-Bentler T2* test statistic.• MLF – maximum likelihood parameter estimates with standarderrors approximated by first-order derivatives and a conventionalchi-square test statistic• MUML – Muthén’s limited information parameter estimates,standard errors, and chi-square test statistic• WLS – weighted least square parameter estimates with conventionalstandard errors and chi-square test statistic that use a full weightmatrix. The WLS chi-square test statistic is also referred to as ADFwhen all outcome variables are continuous.• WLSM – weighted least square parameter estimates using a diagonalweight matrix with standard errors and mean-adjusted chi-square teststatistic that use a full weight matrix• WLSMV – weighted least square parameter estimates using adiagonal weight matrix with standard errors and mean- and varianceadjustedchi-square test statistic that use a full weight matrix• ULS – unweighted least squares parameter estimates• ULSMV – unweighted least squares parameter estimates withstandard errors and a mean- and variance-adjusted chi-square teststatistic that use a full weight matrix• GLS – generalized least square parameter estimates withconventional standard errors and chi-square test statistic that use anormal-theory based weight matrix533