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They.are.available.for.both.continuous.and.categorical.latent.variables..Automatic..labeling..function..-..used..in..the..ANALYSIS..command..to..automatically..give..parameter..labels..for..many..groups..MODEL=ALLFREE..-..used..in..the..ANALYSIS..command..with..TYPE=MIXTURE,..the..KNOWNCLASS..option,..ESTIMATOR=BAYES,..and..the..automatic..labeling..function..to..relax..across-class..equality..constraints..BITERATIONS..-..used..in..the..ANALYSIS..command..to..specify..the..maximum..and..minimum..numbers..of..iterations..for..each..Markov..chain..Monte..Carlo..(MCMC)..chain..when..the..potential..scale..reduction..(PSR)..convergence..criterion..is..used..PRIOR..-..used..in..the..ANALYSIS..command..to..request..a..plot..of..the..prior..distribution..for..each..parameter..that..has..a..proper..prior..KOLMOGOROV-..used..in..the..ANALYSIS..command..to..request..a..Kolmogorov-Smirnov..test..of..equality..of..the..posterior..parameter..distributions..across..the..different..chains..using..draws..from..the..chains..TECH15..-..used..in..the..OUTPUT..command..to..give..marginal..and..conditional..probabilities..for..models..with..more..than..one..categorical..latent..variable,..for..example,..latent..transition..probabilities..TECH16..-..used..in..the..OUTPUT..command..to..present..results..from..testing..that..variances..are..greater..than..zero..using..the..Bayes..factor..approach..General..Features:..CENTERING..has..been..moved..from..the..VARIABLE..command..to..the..DEFINE..command..The..default..number..of..random..starts..for..TYPE=MIXTURE..has..been..increased..from..STARTS=10..2..to..STARTS=20..4..The..default..number..of..TECH14..random..starts..has..been..increased..from..LRTSTARTS=0..0..20..5..to..LRTSTARTS=0..0..40..8..Asterisks..have..been..added..to..mark..significance..for..EFA..factor..loadings..and..for..Bayes..estimates..New..Mplus..User's..Guide..Examples..Following..are..22..new..Version..7..User's..Guide..Examples..3.18:..Moderated..mediation..with..a..plot..of..the..indirect..effect..4.7:..Bi-factor..exploratory..factor..analysis..with..continuous..factor..indicators..5.28:..EFA..with..residual..variances..constrained..to..be..greater..than..zero..5.29:..Bi-factor..EFA..using..ESEM..5.30:..Bi-factor..EFA..with..two..items..loading..on..only..the..general..factor..5.31:..Bayesian..bi-factor..CFA..with..two..items..loading..on..only..the..general..factor..and..cross-loadings..with..zero-mean..and..small-variance..priors..5.32:..Bayesian..MIMIC..model..with..cross-loadings..and..direct..effects..with..zero-mean..and..small-variance..priors..5.33:..Bayesian..multiple..group..model..with..approximate..measurement..invariance..using..zero-mean..and..small-variance..priors..8.13:..LTA..for..two..time..points..with..a..binary..covariate..influencing..the..latent..transition..probabilities..8.14:..LTA..for..two..time..points..with..a..continuous..covariate..influencing..the..latent..transition..probabilities..8.15:..Mover-stayer..LTA..for..three..time..points..using..a..probability..parameterization..9.2:..Two-level..regression..analysis..for..a..continuous..dependent..variable..with..a..random..slope..9.19:..Two-level..mimic..model..with..continuous..factor..indicators,..random..factor..loadings,..two..covariates..on..within,..and..one..covariate..on..between..with..equal..loadings..across..levels..9.20:..Three-level..regression..for..a..continuous..dependent..variable..9.21:..Three-level..path..analysis..with..a..continuous..and..a..categorical..dependent..variable..9.22:..Three-level..MIMIC..model..with..continuous..factor..indicators,..two..covariates..on..within,..one..covariate..on..between..level..2,..one..covariate..on..between..level..3..with..random..slopes..on..both..within..and..between..level..2..9.23:..Three-level..growth..model..with..a..continuous..outcome..and..one..covariate..on..each..of..the..three..levels..9.24:..Regression..for..a..continuous..dependent..variable..using..cross-classified..data..9.25:..Path..analysis..with..continuous..dependent..variables..using..cross-classified..data..9.26:..IRT..with..random..binary..items..using..cross-classified..data..9.27:..Multiple..indicator..growth..model..with..random..intercepts..and..factor..loadings..using..cross-classified..data..11.5:..Multiple..imputation..for..a..set..of..variables..with..missing..values..New..Technical..Reports,..Web..Notes,..and..FAQs..Technical..Reports:..Asparouhov,..T...In..this..example,..we..don't..see..the..analysis..command..because..we..are..using..the..default..setting...SUMMARY.OF.DATA..Number.of.clusters.50..Size.(s).Cluster.ID.with.Size.s..2.114..3.136..6.304..7.103.132..9.102.109..10.305..11.111..14.134..15.116.106..16.118.138.110.105..17.101.128..18.133.131.122..19.303.124.146..20.147.137.307..21.129.141.145..22.144.127.142.143..23.139.308..24.119..25.120.121.112.123..26.140..27.301.108.117..29.135..34.104..35.115..40.302..41.309..Average.cluster.size.19.609.Mplus.also.displays.the.intraclass.correlations.of.the.observed.variables..If...you...insert...the...MISSING...syntax...into...the...previous...exploratory...factor...analysis...program...and...specify...that...Mplus...use...the...newly-created...data...file...that...contains...cases...with...missing...values,...grant-missing.dat,...Mplus...will...perform...listwise...deletion...of...the...cases...with...incomplete...data....We..have..the..average..scores..for..each..of..the..two..latent..classes... 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