查看“Mplus ANALYSIS”的源代码

ANALYSIS命令语法
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| width="168" | ANALYSIS:
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|- 
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|- 
| width="168" | TYPE =
| width="294" | <strong>GEN</strong>ERAL;
| width="120" | GENERAL
|- 
| width="168" | 
| width="294" | <strong>    BAS</strong>IC;
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|- 
| width="168" | 
| width="294" | <strong>    RAND</strong>OM;
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|- 
| width="168" | 
| width="294" | <strong>    COM</strong>PLEX;
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|- 
| width="168" | 
| width="294" | <strong>MIX</strong>TURE; 
<strong>    BAS</strong>IC; 
<strong>    RAND</strong>OM; 
<strong>    COM</strong>PLEX;
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|- 
| width="168" | 
| width="294" | <strong>TWO</strong>LEVEL; 
<strong>    BAS</strong>IC; 
<strong>    RAND</strong>OM; 
<strong>    MIX</strong>TURE; 
<strong>    COM</strong>PLEX;
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|- 
| width="168" | 
| width="294" | <strong>THREE</strong>LEVEL; 
<strong>    BAS</strong>IC; 
<strong>    RAND</strong>OM; 
<strong>    COM</strong>PLEX;
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|- 
| width="168" | 
| width="294" | <strong>CROSS</strong>CLASSIFIED; 
<strong>    RAND</strong>OM;
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|- 
| width="168" | 
| width="294" | EFA # #; 
<strong>    BAS</strong>IC; 
<strong>    MIX</strong>TURE; 
<strong>    COM</strong>PLEX; 
<strong>    TWO</strong>LEVEL; 
EFA # # UW* # # UB*; 
EFA # # UW # # UB;
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|- 
| width="168" | ESTIMATOR =
| width="294" | ML;
| width="120" | depends on
|- 
| width="168" | 
| width="294" | MLM;
| width="120" | analysis type
|- 
| width="168" | 
| width="294" | MLMV;
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|- 
| width="168" | 
| width="294" | MLR;
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|- 
| width="168" | 
| width="294" | MLF;
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|- 
| width="168" | 
| width="294" | MUML;
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|- 
| width="168" | 
| width="294" | WLS;
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|- 
| width="168" | 
| width="294" | WLSM;
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|- 
| width="168" | 
| width="294" | WLSMV;
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|- 
| width="168" | 
| width="294" | ULS;
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|- 
| width="168" | 
| width="294" | ULSMV;
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|- 
| width="168" | 
| width="294" | GLS;
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|- 
| width="168" | 
| width="294" | BAYES;
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| width="168" | MODEL =
| width="294" | <strong>CONFIG</strong>URAL;
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|- 
| width="168" | 
| width="294" | METRIC;
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|- 
| width="168" | 
| width="294" | SCALAR;
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|- 
| width="168" | 
| width="294" | <strong>NOMEAN</strong>STRUCTURE;
| width="120" | means
|- 
| width="168" | 
| width="294" | <strong>NOCOV</strong>ARIANCES;
| width="120" | covariances
|- 
| width="168" | 
| width="294" | <strong>ALL</strong>FREE;
| width="120" | equal
|- 
| width="168" | ALIGNMENT =
| width="294" | FIXED;
| width="120" | last class
|- 
| width="168" | 
| width="294" | 
| width="120" | CONFIGURAL
|- 
| width="168" | 
| width="294" | FIXED (reference class <strong>CONFIG</strong>URAL);
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|- 
| width="168" | 
| width="294" | FIXED (reference class BSEM);
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|- 
| width="168" | 
| width="294" | FREE;
| width="120" | last class
|- 
| width="168" | 
| width="294" | 
| width="120" | CONFIGURAL
|- 
| width="168" | 
| width="294" | FREE (reference class <strong>CONFIG</strong>URAL);
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|- 
| width="168" | 
| width="294" | FREE (reference class BSEM);
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|- 
| width="168" | DISTRIBUTION =
| width="294" | <strong>NORM</strong>AL;
| width="120" | NORMAL
|- 
| width="168" | 
| width="294" | <strong>SKEW</strong>NORMAL;
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|- 
| width="168" | 
| width="294" | <strong>TDIST</strong>RIBUTION;
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|- 
| width="168" | 
| width="294" | SKEWT;
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|- 
| width="168" | PARAMETERIZATION =
| width="294" | DELTA;
| width="120" | DELTA
|- 
| width="168" | 
| width="294" | THETA;
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|- 
| width="168" | 
| width="294" | LOGIT;
| width="120" | LOGIT
|- 
| width="168" | 
| width="294" | <strong>LOGLIN</strong>EAR;
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|- 
| width="168" | 
| width="294" | <strong>PROB</strong>ABILITY; 
<strong>RESCOV</strong>ARIANCES;
| width="120" |  
RESCOV
|- 
| width="168" | LINK =
| width="294" | <strong>LOG</strong>IT;
| width="120" | LOGIT
|- 
| width="168" | 
| width="294" | <strong>PROB</strong>IT;
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| width="168" | ROTATION =
| width="294" | <strong>GEO</strong>MIN;
| width="120" | GEOMIN (OBLIQUE value)
|- 
| width="168" | 
| width="294" | <strong>GEO</strong>MIN (<strong>OB</strong>LIQUE value);
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|- 
| width="168" | 
| width="294" | <strong>GEO</strong>MIN (<strong>OR</strong>THOGONAL value);
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|- 
| width="168" | 
| width="294" | <strong>QUART</strong>IMIN;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF-V</strong>ARIMAX;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF-V</strong>ARIMAX (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>CF-V</strong>ARIMAX (<strong>OR</strong>THOGONAL);
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|- 
| width="168" | 
| width="294" | <strong>CF-Q</strong>UARTIMAX;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
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|- 
| width="168" | 
| width="294" | <strong>CF-E</strong>QUAMAX;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF- E</strong>QUAMAX (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>CF- E</strong>QUAMAX (<strong>OR</strong>THOGONAL);
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|- 
| width="168" | 
| width="294" | <strong>CF-P</strong>ARSIMAX;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OR</strong>THOGONAL);
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|- 
| width="168" | 
| width="294" | <strong>CF-F</strong>ACPARSIM;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OR</strong>THOGONAL);
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| width="168" | 
| width="294" | <strong>CRAW</strong>FER;
| width="120" | OBLIQUE 1/p
|- 
| width="168" | 
| width="294" | <strong>CRAW</strong>FER (<strong>OB</strong>LIQUE value);
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|- 
| width="168" | 
| width="294" | <strong>CRAW</strong>FER (<strong>OR</strong>THOGONAL value);
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| width="168" | 
| width="294" | <strong>OBLIM</strong>IN;
| width="120" | OBLIQUE 0
|- 
| width="168" | 
| width="294" | <strong>OBLIM</strong>IN (<strong>OB</strong>LIQUE value);
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|- 
| width="168" | 
| width="294" | <strong>OBLIM</strong>IN (<strong>OR</strong>THOGONAL value);
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| width="168" | 
| width="294" | <strong>VAR</strong>IMAX;
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| width="168" | 
| width="294" | <strong>PRO</strong>MAX;
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| width="168" | 
| width="294" | <strong>TAR</strong>GET;
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|- 
| width="168" | 
| width="294" | <strong>BI-GEO</strong>MIN;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>BI-GEO</strong>MIN (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>BI-GEO</strong>MIN (<strong>OR</strong>THOGONAL);
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|- 
| width="168" | 
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX;
| width="120" | OBLIQUE
|- 
| width="168" | 
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
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|- 
| width="168" | 
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
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| width="168" | ROWSTANDARDIZATION =
| width="294" | <strong>CORR</strong>ELATION;
| width="120" | CORRELATION
|- 
| width="168" | 
| width="294" | <strong>KAIS</strong>ER;
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|- 
| width="168" | 
| width="294" | <strong>COVA</strong>RIANCE;
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| width="168" | PARALLEL =
| width="294" | number;
| width="120" | 0
|- 
| width="168" | REPSE =
| width="294" | <strong>BOOT</strong>STRAP; 
<strong>JACK</strong>KNIFE; 
<strong>JACK</strong>KNIFE<strong>1</strong>; 
<strong>JACK</strong>KNIFE<strong>2</strong>; 
BRR; 
FAY (#);
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.3
|- 
| width="168" | BASEHAZARD =
| width="294" | ON; 
OFF; 
ON (<strong>EQ</strong>UAL); 
ON (<strong>UNEQ</strong>UAL); 
OFF (<strong>EQ</strong>UAL); 
OFF (<strong>UNEQ</strong>UAL);
| width="120" | depends on 
analysis type 
EQUAL 

EQUAL
|- 
| width="168" | CHOLESKY =
| width="294" | ON; 
OFF;
| width="120" | depends on 
analysis type
|- 
| width="168" | ALGORITHM =
| width="294" | EM;
| width="120" | depends on
|- 
| width="168" | 
| width="294" | EMA;
| width="120" | analysis type
|- 
| width="168" | 
| width="294" | FS; 
ODLL; 
<strong>INT</strong>EGRATION;
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| width="168" | INTEGRATION =
| width="294" | number of integration points; 
<strong>STAND</strong>ARD (number of integration points) ; 

<strong>GAUSS</strong>HERMITE (number of integration points) ; 
<strong>MONTE</strong>CARLO (number of integration points);
| width="120" | STANDARD 
depends on 
analysis type 
15 

depends on 
analysis type
|- 
| width="168" | MCSEED =
| width="294" | random seed for Monte Carlo integration;
| width="120" | 0
|- 
| width="168" | ADAPTIVE =
| width="294" | ON; 
OFF;
| width="120" | ON
|- 
| width="168" | INFORMATION =
| width="294" | <strong>OBS</strong>ERVED;
| width="120" | depends on
|- 
| width="168" | 
| width="294" | <strong>EXP</strong>ECTED;
| width="120" | analysis type
|- 
| width="168" | 
| width="294" | <strong>COMB</strong>INATION;
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| width="168" | BOOTSTRAP =
| width="294" | number of bootstrap draws; 
number of bootstrap draws (<strong>STAND</strong>ARD); 
number of bootstrap draws (<strong>RES</strong>IDUAL):
| width="120" | STANDARD
|- 
| width="168" | LRTBOOTSTRAP =
| width="294" | number of bootstrap draws for TECH14;
| width="120" | depends on 
analysis type
|- 
| width="168" | STARTS =
| width="294" | number of initial stage starts and number of final stage optimizations;
| width="120" | depends on 
analysis type
|- 
| width="168" | STITERATIONS =
| width="294" | number of initial stage iterations;
| width="120" | 10
|- 
| width="168" | STCONVERGENCE =
| width="294" | initial stage convergence criterion;
| width="120" | 1
|- 
| width="168" | STSCALE =
| width="294" | random start scale;
| width="120" | 5
|- 
| width="168" | STSEED =
| width="294" | random seed for generating random starts;
| width="120" | 0
|- 
| width="168" | OPTSEED =
| width="294" | random seed for analysis;
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|- 
| width="168" | K-1STARTS =
| width="294" | number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14;
| width="120" | 20 4
|- 
| width="168" | LRTSTARTS =
| width="294" | number of initial stage starts and number of final stage optimizations for TECH14;
| width="120" | 0 0 40 8
|- 
| width="168" | RSTARTS =
| width="294" | number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis;
| width="120" | depends on 
analysis type
|- 
| width="168" | ASTARTS =
| width="294" | number of random starts for the alignment 
optimization;
| width="120" | 30
|- 
| width="168" | H1STARTS =
| width="294" | Number of initial stage starts and number of final stage optimizations for the H1 model;
| width="120" | 0 0
|- 
| width="168" | DIFFTEST =
| width="294" | file name;
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|- 
| width="168" | MULTIPLIER =
| width="294" | file name;
| width="120" | 
|- 
| width="168" | COVERAGE =
| width="294" | minimum covariance coverage with missing data;
| width="120" | .10
|- 
| width="168" | ADDFREQUENCY =
| width="294" | value divided by sample size to add to cells with zero frequency;
| width="120" | .5
|- 
| width="168" | ITERATIONS =
| width="294" | maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes;
| width="120" | 1000
|- 
| width="168" | SDITERATIONS =
| width="294" | maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes;
| width="120" | 20
|- 
| width="168" | H1ITERATIONS =
| width="294" | maximum number of iterations for unrestricted model with missing data;
| width="120" | 2000
|- 
| width="168" | MITERATIONS =
| width="294" | number of iterations for the EM algorithm;
| width="120" | 500
|- 
| width="168" | MCITERATIONS =
| width="294" | number of iterations for the M step of the EM algorithm for categorical latent variables;
| width="120" | 1
|- 
| width="168" | MUITERATIONS =
| width="294" | number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes;
| width="120" | 1
|- 
| width="168" | RITERATIONS =
| width="294" | maximum number of iterations in the rotation algorithm for exploratory factor analysis;
| width="120" | 10000
|- 
| width="168" | AITERATIONS =
| width="294" | maximum number of iterations in the
| width="120" | 5000
|- 
| width="168" | 
| width="294" | alignment optimization;
| width="120" | 
|- 
| width="168" | CONVERGENCE =
| width="294" | convergence criterion for the Quasi-Newton algorithm for continuous outcomes;
| width="120" | depends on 
analysis type
|- 
| width="168" | H1CONVERGENCE =
| width="294" | convergence criterion for unrestricted model with missing data;
| width="120" | .0001
|- 
| width="168" | LOGCRITERION =
| width="294" | likelihood convergence criterion for the EM algorithm;
| width="120" | depends on 
analysis type
|- 
| width="168" | RLOGCRITERION =
| width="294" | relative likelihood convergence criterion for the EM algorithm;
| width="120" | depends on 
analysis type
|- 
| width="168" | MCONVERGENCE =
| width="294" | convergence criterion for the EM algorithm;
| width="120" | depends on 
analysis type
|- 
| width="168" | MCCONVERGENCE =
| width="294" | convergence criterion for the M step of the EM algorithm for categorical latent variables;
| width="120" | .000001
|- 
| width="168" | MUCONVERGENCE =
| width="294" | convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes;
| width="120" | .000001
|- 
| width="168" | RCONVERGENCE =
| width="294" | convergence criterion for the rotation algorithm for exploratory factor analysis;
| width="120" | .00001
|- 
| width="168" | ACONVERGENCE =
| width="294" | convergence criterion for the derivatives of 
the alignment optimization;.
| width="120" | .001
|- 
| width="168" | MIXC =
| width="294" | <strong>ITER</strong>ATIONS;
| width="120" | ITERATIONS
|- 
| width="168" | 
| width="294" | <strong>CONV</strong>ERGENCE;
| width="120" | 
|- 
| width="168" | 
| width="294" | M step iteration termination based on number of iterations or convergence for categorical latent variables;
| width="120" | 
|- 
| width="168" | MIXU =
| width="294" | <strong>ITER</strong>ATIONS;
| width="120" | ITERATIONS
|- 
| width="168" | 
| width="294" | <strong>CONV</strong>ERGENCE;
| width="120" | 
|- 
| width="168" | 
| width="294" | M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
| width="120" | 
|- 
| width="168" | LOGHIGH =
| width="294" | max value for logit thresholds;
| width="120" | +15
|- 
| width="168" | LOGLOW =
| width="294" | min value for logit thresholds;
| width="120" | - 15
|- 
| width="168" | UCELLSIZE =
| width="294" | minimum expected cell size;
| width="120" | .01
|- 
| width="168" | VARIANCE =
| width="294" | minimum variance value;
| width="120" | .0001
|- 
| width="168" | SIMPLICITY =
| width="294" | SQRT;
| width="120" | SQRT
|- 
| width="168" | 
| width="294" | <strong>FOUR</strong>THRT;
| width="120" | 
|- 
| width="168" | TOLERANCE =
| width="294" | simplicity tolerance value;
| width="120" | .0001
|- 
| width="168" | METRIC=
| width="294" | <strong>REFG</strong>ROUP;
| width="120" | REFGROUP
|- 
| width="168" | 
| width="294" | <strong>PROD</strong>UCT;
| width="120" | 
|- 
| width="168" | MATRIX =
| width="294" | <strong>COVA</strong>RIANCE;
| width="120" | COVARIANCE
|- 
| width="168" | 
| width="294" | <strong>CORR</strong>ELATION;
| width="120" | 
|- 
| width="168" | POINT =
| width="294" | <strong>MED</strong>IAN; 
MEAN; 
MODE;
| width="120" | MEDIAN
|- 
| width="168" | CHAINS =
| width="294" | number of MCMC chains;
| width="120" | 2
|- 
| width="168" | BSEED =
| width="294" | seed for MCMC random number generation;
| width="120" | 0
|- 
| width="168" | STVALUES =
| width="294" | <strong>UNPER</strong>TURBED; 
<strong>PERT</strong>URBED; 
ML;
| width="120" | UNPERTURBED
|- 
| width="168" | MEDIATOR =
| width="294" | <strong>LAT</strong>ENT; 
<strong>OBS</strong>ERVED;
| width="120" | depends on 
analysis type
|- 
| width="168" | ALGORITHM =
| width="294" | GIBBS; 
GIBBS (PX1); 
GIBBS (PX2); 
GIBBS (PX3); 
GIBBS (RW); 
MH;
| width="120" | GIBBS (PX1)
|- 
| width="168" | BCONVERGENCE =
| width="294" | MCMC convergence criterion using Gelman-Rubin PSR;
| width="120" | .05
|- 
| width="168" | BITERATIONS =
| width="294" | maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used;
| width="120" | 50000 0
|- 
| width="168" | FBITERATIONS =
| width="294" | fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
| width="120" | 
|- 
| width="168" | THIN =
| width="294" | k where every k-th MCMC iteration is saved;
| width="120" | 1
|- 
| width="168" | MDITERATIONS =
| width="294" | maximum number of iterations used to compute the Bayes multivariate mode;
| width="120" | 10000
|- 
| width="168" | KOLMOGOROV =
| width="294" | number of draws from the MCMC chains;
| width="120" | 100
|- 
| width="168" | PRIOR =
| width="294" | number of draws from the prior distribution;
| width="120" | 1000
|- 
| width="168" | INTERACTIVE =
| width="294" | file name;
| width="120" | 
|- 
| width="168" | PROCESSORS =
| width="294" | # of processors # of threads;
| width="120" | 1 1</tbody>
|}