“Mplus ANALYSIS”的版本间的差异

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第5行： 第5行：
 
| width=30% |  
 
| width=30% |  
 
|-  
 
|-  
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| width="168" |  
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| width=20% |  
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| width="294" |  
+
| width=50% |  
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | TYPE =
+
| width=20% | TYPE =
−
| width="294" | <strong>GEN</strong>ERAL;
+
| width=50% | <strong>GEN</strong>ERAL;
−
| width="120" | GENERAL
+
| width=30% | GENERAL
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>    BAS</strong>IC;
+
| width=50% | <strong>    BAS</strong>IC;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>    RAND</strong>OM;
+
| width=50% | <strong>    RAND</strong>OM;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>    COM</strong>PLEX;
+
| width=50% | <strong>    COM</strong>PLEX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>MIX</strong>TURE;  
+
| width=50% | <strong>MIX</strong>TURE;  
 
<strong>    BAS</strong>IC;  
 
<strong>    BAS</strong>IC;  
 
<strong>    RAND</strong>OM;  
 
<strong>    RAND</strong>OM;  
 
<strong>    COM</strong>PLEX;
 
<strong>    COM</strong>PLEX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>TWO</strong>LEVEL;  
+
| width=50% | <strong>TWO</strong>LEVEL;  
 
<strong>    BAS</strong>IC;  
 
<strong>    BAS</strong>IC;  
 
<strong>    RAND</strong>OM;  
 
<strong>    RAND</strong>OM;  
 
<strong>    MIX</strong>TURE;  
 
<strong>    MIX</strong>TURE;  
 
<strong>    COM</strong>PLEX;
 
<strong>    COM</strong>PLEX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>THREE</strong>LEVEL;  
+
| width=50% | <strong>THREE</strong>LEVEL;  
 
<strong>    BAS</strong>IC;  
 
<strong>    BAS</strong>IC;  
 
<strong>    RAND</strong>OM;  
 
<strong>    RAND</strong>OM;  
 
<strong>    COM</strong>PLEX;
 
<strong>    COM</strong>PLEX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CROSS</strong>CLASSIFIED;  
+
| width=50% | <strong>CROSS</strong>CLASSIFIED;  
 
<strong>    RAND</strong>OM;
 
<strong>    RAND</strong>OM;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | EFA # #;  
+
| width=50% | EFA # #;  
 
<strong>    BAS</strong>IC;  
 
<strong>    BAS</strong>IC;  
 
<strong>    MIX</strong>TURE;  
 
<strong>    MIX</strong>TURE;  
第60行： 第60行：
 
EFA # # UW* # # UB*;  
 
EFA # # UW* # # UB*;  
 
EFA # # UW # # UB;
 
EFA # # UW # # UB;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | ESTIMATOR =
+
| width=20% | ESTIMATOR =
−
| width="294" | ML;
+
| width=50% | ML;
−
| width="120" | depends on
+
| width=30% | depends on
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | MLM;
+
| width=50% | MLM;
−
| width="120" | analysis type
+
| width=30% | analysis type
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | MLMV;
+
| width=50% | MLMV;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | MLR;
+
| width=50% | MLR;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | MLF;
+
| width=50% | MLF;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | MUML;
+
| width=50% | MUML;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | WLS;
+
| width=50% | WLS;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | WLSM;
+
| width=50% | WLSM;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | WLSMV;
+
| width=50% | WLSMV;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | ULS;
+
| width=50% | ULS;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | ULSMV;
+
| width=50% | ULSMV;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | GLS;
+
| width=50% | GLS;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | BAYES;
+
| width=50% | BAYES;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | MODEL =
+
| width=20% | MODEL =
−
| width="294" | <strong>CONFIG</strong>URAL;
+
| width=50% | <strong>CONFIG</strong>URAL;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | METRIC;
+
| width=50% | METRIC;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | SCALAR;
+
| width=50% | SCALAR;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>NOMEAN</strong>STRUCTURE;
+
| width=50% | <strong>NOMEAN</strong>STRUCTURE;
−
| width="120" | means
+
| width=30% | means
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>NOCOV</strong>ARIANCES;
+
| width=50% | <strong>NOCOV</strong>ARIANCES;
−
| width="120" | covariances
+
| width=30% | covariances
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>ALL</strong>FREE;
+
| width=50% | <strong>ALL</strong>FREE;
−
| width="120" | equal
+
| width=30% | equal
 
|-  
 
|-  
−
| width="168" | ALIGNMENT =
+
| width=20% | ALIGNMENT =
−
| width="294" | FIXED;
+
| width=50% | FIXED;
−
| width="120" | last class
+
| width=30% | last class
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" |  
+
| width=50% |  
−
| width="120" | CONFIGURAL
+
| width=30% | CONFIGURAL
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FIXED (reference class <strong>CONFIG</strong>URAL);
+
| width=50% | FIXED (reference class <strong>CONFIG</strong>URAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FIXED (reference class BSEM);
+
| width=50% | FIXED (reference class BSEM);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FREE;
+
| width=50% | FREE;
−
| width="120" | last class
+
| width=30% | last class
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" |  
+
| width=50% |  
−
| width="120" | CONFIGURAL
+
| width=30% | CONFIGURAL
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FREE (reference class <strong>CONFIG</strong>URAL);
+
| width=50% | FREE (reference class <strong>CONFIG</strong>URAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FREE (reference class BSEM);
+
| width=50% | FREE (reference class BSEM);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | DISTRIBUTION =
+
| width=20% | DISTRIBUTION =
−
| width="294" | <strong>NORM</strong>AL;
+
| width=50% | <strong>NORM</strong>AL;
−
| width="120" | NORMAL
+
| width=30% | NORMAL
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>SKEW</strong>NORMAL;
+
| width=50% | <strong>SKEW</strong>NORMAL;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>TDIST</strong>RIBUTION;
+
| width=50% | <strong>TDIST</strong>RIBUTION;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | SKEWT;
+
| width=50% | SKEWT;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | PARAMETERIZATION =
+
| width=20% | PARAMETERIZATION =
−
| width="294" | DELTA;
+
| width=50% | DELTA;
−
| width="120" | DELTA
+
| width=30% | DELTA
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | THETA;
+
| width=50% | THETA;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | LOGIT;
+
| width=50% | LOGIT;
−
| width="120" | LOGIT
+
| width=30% | LOGIT
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>LOGLIN</strong>EAR;
+
| width=50% | <strong>LOGLIN</strong>EAR;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>PROB</strong>ABILITY;  
+
| width=50% | <strong>PROB</strong>ABILITY;  
 
<strong>RESCOV</strong>ARIANCES;
 
<strong>RESCOV</strong>ARIANCES;
−
| width="120" |   
+
| width=30% |   
 
RESCOV
 
RESCOV
 
|-  
 
|-  
−
| width="168" | LINK =
+
| width=20% | LINK =
−
| width="294" | <strong>LOG</strong>IT;
+
| width=50% | <strong>LOG</strong>IT;
−
| width="120" | LOGIT
+
| width=30% | LOGIT
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>PROB</strong>IT;
+
| width=50% | <strong>PROB</strong>IT;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | ROTATION =
+
| width=20% | ROTATION =
−
| width="294" | <strong>GEO</strong>MIN;
+
| width=50% | <strong>GEO</strong>MIN;
−
| width="120" | GEOMIN (OBLIQUE value)
+
| width=30% | GEOMIN (OBLIQUE value)
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>GEO</strong>MIN (<strong>OB</strong>LIQUE value);
+
| width=50% | <strong>GEO</strong>MIN (<strong>OB</strong>LIQUE value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>GEO</strong>MIN (<strong>OR</strong>THOGONAL value);
+
| width=50% | <strong>GEO</strong>MIN (<strong>OR</strong>THOGONAL value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>QUART</strong>IMIN;
+
| width=50% | <strong>QUART</strong>IMIN;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-V</strong>ARIMAX;
+
| width=50% | <strong>CF-V</strong>ARIMAX;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-V</strong>ARIMAX (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>CF-V</strong>ARIMAX (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-V</strong>ARIMAX (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>CF-V</strong>ARIMAX (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-Q</strong>UARTIMAX;
+
| width=50% | <strong>CF-Q</strong>UARTIMAX;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>CF- Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>CF- Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-E</strong>QUAMAX;
+
| width=50% | <strong>CF-E</strong>QUAMAX;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- E</strong>QUAMAX (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>CF- E</strong>QUAMAX (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- E</strong>QUAMAX (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>CF- E</strong>QUAMAX (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-P</strong>ARSIMAX;
+
| width=50% | <strong>CF-P</strong>ARSIMAX;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>CF- P</strong>ARSIMAX (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- P</strong>ARSIMAX (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>CF- P</strong>ARSIMAX (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF-F</strong>ACPARSIM;
+
| width=50% | <strong>CF-F</strong>ACPARSIM;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>CF- F</strong>ACPARSIM (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CF- F</strong>ACPARSIM (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>CF- F</strong>ACPARSIM (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CRAW</strong>FER;
+
| width=50% | <strong>CRAW</strong>FER;
−
| width="120" | OBLIQUE 1/p
+
| width=30% | OBLIQUE 1/p
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CRAW</strong>FER (<strong>OB</strong>LIQUE value);
+
| width=50% | <strong>CRAW</strong>FER (<strong>OB</strong>LIQUE value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CRAW</strong>FER (<strong>OR</strong>THOGONAL value);
+
| width=50% | <strong>CRAW</strong>FER (<strong>OR</strong>THOGONAL value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>OBLIM</strong>IN;
+
| width=50% | <strong>OBLIM</strong>IN;
−
| width="120" | OBLIQUE 0
+
| width=30% | OBLIQUE 0
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>OBLIM</strong>IN (<strong>OB</strong>LIQUE value);
+
| width=50% | <strong>OBLIM</strong>IN (<strong>OB</strong>LIQUE value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>OBLIM</strong>IN (<strong>OR</strong>THOGONAL value);
+
| width=50% | <strong>OBLIM</strong>IN (<strong>OR</strong>THOGONAL value);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>VAR</strong>IMAX;
+
| width=50% | <strong>VAR</strong>IMAX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>PRO</strong>MAX;
+
| width=50% | <strong>PRO</strong>MAX;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>TAR</strong>GET;
+
| width=50% | <strong>TAR</strong>GET;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-GEO</strong>MIN;
+
| width=50% | <strong>BI-GEO</strong>MIN;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-GEO</strong>MIN (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>BI-GEO</strong>MIN (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-GEO</strong>MIN (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>BI-GEO</strong>MIN (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX;
+
| width=50% | <strong>BI-CF-Q</strong>UARTIMAX;
−
| width="120" | OBLIQUE
+
| width=30% | OBLIQUE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
+
| width=50% | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OB</strong>LIQUE);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
+
| width=50% | <strong>BI-CF-Q</strong>UARTIMAX (<strong>OR</strong>THOGONAL);
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | ROWSTANDARDIZATION =
+
| width=20% | ROWSTANDARDIZATION =
−
| width="294" | <strong>CORR</strong>ELATION;
+
| width=50% | <strong>CORR</strong>ELATION;
−
| width="120" | CORRELATION
+
| width=30% | CORRELATION
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>KAIS</strong>ER;
+
| width=50% | <strong>KAIS</strong>ER;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>COVA</strong>RIANCE;
+
| width=50% | <strong>COVA</strong>RIANCE;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | PARALLEL =
+
| width=20% | PARALLEL =
−
| width="294" | number;
+
| width=50% | number;
−
| width="120" | 0
+
| width=30% | 0
 
|-  
 
|-  
−
| width="168" | REPSE =
+
| width=20% | REPSE =
−
| width="294" | <strong>BOOT</strong>STRAP;  
+
| width=50% | <strong>BOOT</strong>STRAP;  
 
<strong>JACK</strong>KNIFE;  
 
<strong>JACK</strong>KNIFE;  
 
<strong>JACK</strong>KNIFE<strong>1</strong>;  
 
<strong>JACK</strong>KNIFE<strong>1</strong>;  
第375行： 第375行：
 
BRR;  
 
BRR;  
 
FAY (#);
 
FAY (#);
−
| width="120" |   
+
| width=30% |   
  
  
第381行： 第381行：
 
.3
 
.3
 
|-  
 
|-  
−
| width="168" | BASEHAZARD =
+
| width=20% | BASEHAZARD =
−
| width="294" | ON;  
+
| width=50% | ON;  
 
OFF;  
 
OFF;  
 
ON (<strong>EQ</strong>UAL);  
 
ON (<strong>EQ</strong>UAL);  
第388行： 第388行：
 
OFF (<strong>EQ</strong>UAL);  
 
OFF (<strong>EQ</strong>UAL);  
 
OFF (<strong>UNEQ</strong>UAL);
 
OFF (<strong>UNEQ</strong>UAL);
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type  
 
analysis type  
 
EQUAL  
 
EQUAL  
第394行： 第394行：
 
EQUAL
 
EQUAL
 
|-  
 
|-  
−
| width="168" | CHOLESKY =
+
| width=20% | CHOLESKY =
−
| width="294" | ON;  
+
| width=50% | ON;  
 
OFF;
 
OFF;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | ALGORITHM =
+
| width=20% | ALGORITHM =
−
| width="294" | EM;
+
| width=50% | EM;
−
| width="120" | depends on
+
| width=30% | depends on
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | EMA;
+
| width=50% | EMA;
−
| width="120" | analysis type
+
| width=30% | analysis type
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | FS;  
+
| width=50% | FS;  
 
ODLL;  
 
ODLL;  
 
<strong>INT</strong>EGRATION;
 
<strong>INT</strong>EGRATION;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | INTEGRATION =
+
| width=20% | INTEGRATION =
−
| width="294" | number of integration points;  
+
| width=50% | number of integration points;  
 
<strong>STAND</strong>ARD (number of integration points) ;  
 
<strong>STAND</strong>ARD (number of integration points) ;  
  
 
<strong>GAUSS</strong>HERMITE (number of integration points) ;  
 
<strong>GAUSS</strong>HERMITE (number of integration points) ;  
 
<strong>MONTE</strong>CARLO (number of integration points);
 
<strong>MONTE</strong>CARLO (number of integration points);
−
| width="120" | STANDARD  
+
| width=30% | STANDARD  
 
depends on  
 
depends on  
 
analysis type  
 
analysis type  
第428行： 第428行：
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | MCSEED =
+
| width=20% | MCSEED =
−
| width="294" | random seed for Monte Carlo integration;
+
| width=50% | random seed for Monte Carlo integration;
−
| width="120" | 0
+
| width=30% | 0
 
|-  
 
|-  
−
| width="168" | ADAPTIVE =
+
| width=20% | ADAPTIVE =
−
| width="294" | ON;  
+
| width=50% | ON;  
 
OFF;
 
OFF;
−
| width="120" | ON
+
| width=30% | ON
 
|-  
 
|-  
−
| width="168" | INFORMATION =
+
| width=20% | INFORMATION =
−
| width="294" | <strong>OBS</strong>ERVED;
+
| width=50% | <strong>OBS</strong>ERVED;
−
| width="120" | depends on
+
| width=30% | depends on
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>EXP</strong>ECTED;
+
| width=50% | <strong>EXP</strong>ECTED;
−
| width="120" | analysis type
+
| width=30% | analysis type
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>COMB</strong>INATION;
+
| width=50% | <strong>COMB</strong>INATION;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | BOOTSTRAP =
+
| width=20% | BOOTSTRAP =
−
| width="294" | number of bootstrap draws;  
+
| width=50% | number of bootstrap draws;  
 
number of bootstrap draws (<strong>STAND</strong>ARD);  
 
number of bootstrap draws (<strong>STAND</strong>ARD);  
 
number of bootstrap draws (<strong>RES</strong>IDUAL):
 
number of bootstrap draws (<strong>RES</strong>IDUAL):
−
| width="120" | STANDARD
+
| width=30% | STANDARD
 
|-  
 
|-  
−
| width="168" | LRTBOOTSTRAP =
+
| width=20% | LRTBOOTSTRAP =
−
| width="294" | number of bootstrap draws for TECH14;
+
| width=50% | number of bootstrap draws for TECH14;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | STARTS =
+
| width=20% | STARTS =
−
| width="294" | number of initial stage starts and number of final stage optimizations;
+
| width=50% | number of initial stage starts and number of final stage optimizations;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | STITERATIONS =
+
| width=20% | STITERATIONS =
−
| width="294" | number of initial stage iterations;
+
| width=50% | number of initial stage iterations;
−
| width="120" | 10
+
| width=30% | 10
 
|-  
 
|-  
−
| width="168" | STCONVERGENCE =
+
| width=20% | STCONVERGENCE =
−
| width="294" | initial stage convergence criterion;
+
| width=50% | initial stage convergence criterion;
−
| width="120" | 1
+
| width=30% | 1
 
|-  
 
|-  
−
| width="168" | STSCALE =
+
| width=20% | STSCALE =
−
| width="294" | random start scale;
+
| width=50% | random start scale;
−
| width="120" | 5
+
| width=30% | 5
 
|-  
 
|-  
−
| width="168" | STSEED =
+
| width=20% | STSEED =
−
| width="294" | random seed for generating random starts;
+
| width=50% | random seed for generating random starts;
−
| width="120" | 0
+
| width=30% | 0
 
|-  
 
|-  
−
| width="168" | OPTSEED =
+
| width=20% | OPTSEED =
−
| width="294" | random seed for analysis;
+
| width=50% | random seed for analysis;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | K-1STARTS =
+
| width=20% | K-1STARTS =
−
| width="294" | number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14;
+
| width=50% | number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14;
−
| width="120" | 20 4
+
| width=30% | 20 4
 
|-  
 
|-  
−
| width="168" | LRTSTARTS =
+
| width=20% | LRTSTARTS =
−
| width="294" | number of initial stage starts and number of final stage optimizations for TECH14;
+
| width=50% | number of initial stage starts and number of final stage optimizations for TECH14;
−
| width="120" | 0 0 40 8
+
| width=30% | 0 0 40 8
 
|-  
 
|-  
−
| width="168" | RSTARTS =
+
| width=20% | RSTARTS =
−
| width="294" | number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis;
+
| width=50% | number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | ASTARTS =
+
| width=20% | ASTARTS =
−
| width="294" | number of random starts for the alignment  
+
| width=50% | number of random starts for the alignment  
 
optimization;
 
optimization;
−
| width="120" | 30
+
| width=30% | 30
 
|-  
 
|-  
−
| width="168" | H1STARTS =
+
| width=20% | H1STARTS =
−
| width="294" | Number of initial stage starts and number of final stage optimizations for the H1 model;
+
| width=50% | Number of initial stage starts and number of final stage optimizations for the H1 model;
−
| width="120" | 0 0
+
| width=30% | 0 0
 
|-  
 
|-  
−
| width="168" | DIFFTEST =
+
| width=20% | DIFFTEST =
−
| width="294" | file name;
+
| width=50% | file name;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | MULTIPLIER =
+
| width=20% | MULTIPLIER =
−
| width="294" | file name;
+
| width=50% | file name;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | COVERAGE =
+
| width=20% | COVERAGE =
−
| width="294" | minimum covariance coverage with missing data;
+
| width=50% | minimum covariance coverage with missing data;
−
| width="120" | .10
+
| width=30% | .10
 
|-  
 
|-  
−
| width="168" | ADDFREQUENCY =
+
| width=20% | ADDFREQUENCY =
−
| width="294" | value divided by sample size to add to cells with zero frequency;
+
| width=50% | value divided by sample size to add to cells with zero frequency;
−
| width="120" | .5
+
| width=30% | .5
 
|-  
 
|-  
−
| width="168" | ITERATIONS =
+
| width=20% | ITERATIONS =
−
| width="294" | maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes;
+
| width=50% | maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes;
−
| width="120" | 1000
+
| width=30% | 1000
 
|-  
 
|-  
−
| width="168" | SDITERATIONS =
+
| width=20% | SDITERATIONS =
−
| width="294" | maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes;
+
| width=50% | maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes;
−
| width="120" | 20
+
| width=30% | 20
 
|-  
 
|-  
−
| width="168" | H1ITERATIONS =
+
| width=20% | H1ITERATIONS =
−
| width="294" | maximum number of iterations for unrestricted model with missing data;
+
| width=50% | maximum number of iterations for unrestricted model with missing data;
−
| width="120" | 2000
+
| width=30% | 2000
 
|-  
 
|-  
−
| width="168" | MITERATIONS =
+
| width=20% | MITERATIONS =
−
| width="294" | number of iterations for the EM algorithm;
+
| width=50% | number of iterations for the EM algorithm;
−
| width="120" | 500
+
| width=30% | 500
 
|-  
 
|-  
−
| width="168" | MCITERATIONS =
+
| width=20% | MCITERATIONS =
−
| width="294" | number of iterations for the M step of the EM algorithm for categorical latent variables;
+
| width=50% | number of iterations for the M step of the EM algorithm for categorical latent variables;
−
| width="120" | 1
+
| width=30% | 1
 
|-  
 
|-  
−
| width="168" | MUITERATIONS =
+
| width=20% | MUITERATIONS =
−
| width="294" | number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes;
+
| width=50% | number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes;
−
| width="120" | 1
+
| width=30% | 1
 
|-  
 
|-  
−
| width="168" | RITERATIONS =
+
| width=20% | RITERATIONS =
−
| width="294" | maximum number of iterations in the rotation algorithm for exploratory factor analysis;
+
| width=50% | maximum number of iterations in the rotation algorithm for exploratory factor analysis;
−
| width="120" | 10000
+
| width=30% | 10000
 
|-  
 
|-  
−
| width="168" | AITERATIONS =
+
| width=20% | AITERATIONS =
−
| width="294" | maximum number of iterations in the
+
| width=50% | maximum number of iterations in the
−
| width="120" | 5000
+
| width=30% | 5000
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | alignment optimization;
+
| width=50% | alignment optimization;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | CONVERGENCE =
+
| width=20% | CONVERGENCE =
−
| width="294" | convergence criterion for the Quasi-Newton algorithm for continuous outcomes;
+
| width=50% | convergence criterion for the Quasi-Newton algorithm for continuous outcomes;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | H1CONVERGENCE =
+
| width=20% | H1CONVERGENCE =
−
| width="294" | convergence criterion for unrestricted model with missing data;
+
| width=50% | convergence criterion for unrestricted model with missing data;
−
| width="120" | .0001
+
| width=30% | .0001
 
|-  
 
|-  
−
| width="168" | LOGCRITERION =
+
| width=20% | LOGCRITERION =
−
| width="294" | likelihood convergence criterion for the EM algorithm;
+
| width=50% | likelihood convergence criterion for the EM algorithm;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | RLOGCRITERION =
+
| width=20% | RLOGCRITERION =
−
| width="294" | relative likelihood convergence criterion for the EM algorithm;
+
| width=50% | relative likelihood convergence criterion for the EM algorithm;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | MCONVERGENCE =
+
| width=20% | MCONVERGENCE =
−
| width="294" | convergence criterion for the EM algorithm;
+
| width=50% | convergence criterion for the EM algorithm;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | MCCONVERGENCE =
+
| width=20% | MCCONVERGENCE =
−
| width="294" | convergence criterion for the M step of the EM algorithm for categorical latent variables;
+
| width=50% | convergence criterion for the M step of the EM algorithm for categorical latent variables;
−
| width="120" | .000001
+
| width=30% | .000001
 
|-  
 
|-  
−
| width="168" | MUCONVERGENCE =
+
| width=20% | MUCONVERGENCE =
−
| width="294" | convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes;
+
| width=50% | convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes;
−
| width="120" | .000001
+
| width=30% | .000001
 
|-  
 
|-  
−
| width="168" | RCONVERGENCE =
+
| width=20% | RCONVERGENCE =
−
| width="294" | convergence criterion for the rotation algorithm for exploratory factor analysis;
+
| width=50% | convergence criterion for the rotation algorithm for exploratory factor analysis;
−
| width="120" | .00001
+
| width=30% | .00001
 
|-  
 
|-  
−
| width="168" | ACONVERGENCE =
+
| width=20% | ACONVERGENCE =
−
| width="294" | convergence criterion for the derivatives of  
+
| width=50% | convergence criterion for the derivatives of  
 
the alignment optimization;.
 
the alignment optimization;.
−
| width="120" | .001
+
| width=30% | .001
 
|-  
 
|-  
−
| width="168" | MIXC =
+
| width=20% | MIXC =
−
| width="294" | <strong>ITER</strong>ATIONS;
+
| width=50% | <strong>ITER</strong>ATIONS;
−
| width="120" | ITERATIONS
+
| width=30% | ITERATIONS
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CONV</strong>ERGENCE;
+
| width=50% | <strong>CONV</strong>ERGENCE;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | M step iteration termination based on number of iterations or convergence for categorical latent variables;
+
| width=50% | M step iteration termination based on number of iterations or convergence for categorical latent variables;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | MIXU =
+
| width=20% | MIXU =
−
| width="294" | <strong>ITER</strong>ATIONS;
+
| width=50% | <strong>ITER</strong>ATIONS;
−
| width="120" | ITERATIONS
+
| width=30% | ITERATIONS
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CONV</strong>ERGENCE;
+
| width=50% | <strong>CONV</strong>ERGENCE;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
+
| width=50% | M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | LOGHIGH =
+
| width=20% | LOGHIGH =
−
| width="294" | max value for logit thresholds;
+
| width=50% | max value for logit thresholds;
−
| width="120" | +15
+
| width=30% | +15
 
|-  
 
|-  
−
| width="168" | LOGLOW =
+
| width=20% | LOGLOW =
−
| width="294" | min value for logit thresholds;
+
| width=50% | min value for logit thresholds;
−
| width="120" | - 15
+
| width=30% | - 15
 
|-  
 
|-  
−
| width="168" | UCELLSIZE =
+
| width=20% | UCELLSIZE =
−
| width="294" | minimum expected cell size;
+
| width=50% | minimum expected cell size;
−
| width="120" | .01
+
| width=30% | .01
 
|-  
 
|-  
−
| width="168" | VARIANCE =
+
| width=20% | VARIANCE =
−
| width="294" | minimum variance value;
+
| width=50% | minimum variance value;
−
| width="120" | .0001
+
| width=30% | .0001
 
|-  
 
|-  
−
| width="168" | SIMPLICITY =
+
| width=20% | SIMPLICITY =
−
| width="294" | SQRT;
+
| width=50% | SQRT;
−
| width="120" | SQRT
+
| width=30% | SQRT
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>FOUR</strong>THRT;
+
| width=50% | <strong>FOUR</strong>THRT;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | TOLERANCE =
+
| width=20% | TOLERANCE =
−
| width="294" | simplicity tolerance value;
+
| width=50% | simplicity tolerance value;
−
| width="120" | .0001
+
| width=30% | .0001
 
|-  
 
|-  
−
| width="168" | METRIC=
+
| width=20% | METRIC=
−
| width="294" | <strong>REFG</strong>ROUP;
+
| width=50% | <strong>REFG</strong>ROUP;
−
| width="120" | REFGROUP
+
| width=30% | REFGROUP
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>PROD</strong>UCT;
+
| width=50% | <strong>PROD</strong>UCT;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | MATRIX =
+
| width=20% | MATRIX =
−
| width="294" | <strong>COVA</strong>RIANCE;
+
| width=50% | <strong>COVA</strong>RIANCE;
−
| width="120" | COVARIANCE
+
| width=30% | COVARIANCE
 
|-  
 
|-  
−
| width="168" |  
+
| width=20% |  
−
| width="294" | <strong>CORR</strong>ELATION;
+
| width=50% | <strong>CORR</strong>ELATION;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | POINT =
+
| width=20% | POINT =
−
| width="294" | <strong>MED</strong>IAN;  
+
| width=50% | <strong>MED</strong>IAN;  
 
MEAN;  
 
MEAN;  
 
MODE;
 
MODE;
−
| width="120" | MEDIAN
+
| width=30% | MEDIAN
 
|-  
 
|-  
−
| width="168" | CHAINS =
+
| width=20% | CHAINS =
−
| width="294" | number of MCMC chains;
+
| width=50% | number of MCMC chains;
−
| width="120" | 2
+
| width=30% | 2
 
|-  
 
|-  
−
| width="168" | BSEED =
+
| width=20% | BSEED =
−
| width="294" | seed for MCMC random number generation;
+
| width=50% | seed for MCMC random number generation;
−
| width="120" | 0
+
| width=30% | 0
 
|-  
 
|-  
−
| width="168" | STVALUES =
+
| width=20% | STVALUES =
−
| width="294" | <strong>UNPER</strong>TURBED;  
+
| width=50% | <strong>UNPER</strong>TURBED;  
 
<strong>PERT</strong>URBED;  
 
<strong>PERT</strong>URBED;  
 
ML;
 
ML;
−
| width="120" | UNPERTURBED
+
| width=30% | UNPERTURBED
 
|-  
 
|-  
−
| width="168" | MEDIATOR =
+
| width=20% | MEDIATOR =
−
| width="294" | <strong>LAT</strong>ENT;  
+
| width=50% | <strong>LAT</strong>ENT;  
 
<strong>OBS</strong>ERVED;
 
<strong>OBS</strong>ERVED;
−
| width="120" | depends on  
+
| width=30% | depends on  
 
analysis type
 
analysis type
 
|-  
 
|-  
−
| width="168" | ALGORITHM =
+
| width=20% | ALGORITHM =
−
| width="294" | GIBBS;  
+
| width=50% | GIBBS;  
 
GIBBS (PX1);  
 
GIBBS (PX1);  
 
GIBBS (PX2);  
 
GIBBS (PX2);  
第701行： 第701行：
 
GIBBS (RW);  
 
GIBBS (RW);  
 
MH;
 
MH;
−
| width="120" | GIBBS (PX1)
+
| width=30% | GIBBS (PX1)
 
|-  
 
|-  
−
| width="168" | BCONVERGENCE =
+
| width=20% | BCONVERGENCE =
−
| width="294" | MCMC convergence criterion using Gelman-Rubin PSR;
+
| width=50% | MCMC convergence criterion using Gelman-Rubin PSR;
−
| width="120" | .05
+
| width=30% | .05
 
|-  
 
|-  
−
| width="168" | BITERATIONS =
+
| width=20% | BITERATIONS =
−
| width="294" | maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used;
+
| width=50% | maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used;
−
| width="120" | 50000 0
+
| width=30% | 50000 0
 
|-  
 
|-  
−
| width="168" | FBITERATIONS =
+
| width=20% | FBITERATIONS =
−
| width="294" | fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
+
| width=50% | fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | THIN =
+
| width=20% | THIN =
−
| width="294" | k where every k-th MCMC iteration is saved;
+
| width=50% | k where every k-th MCMC iteration is saved;
−
| width="120" | 1
+
| width=30% | 1
 
|-  
 
|-  
−
| width="168" | MDITERATIONS =
+
| width=20% | MDITERATIONS =
−
| width="294" | maximum number of iterations used to compute the Bayes multivariate mode;
+
| width=50% | maximum number of iterations used to compute the Bayes multivariate mode;
−
| width="120" | 10000
+
| width=30% | 10000
 
|-  
 
|-  
−
| width="168" | KOLMOGOROV =
+
| width=20% | KOLMOGOROV =
−
| width="294" | number of draws from the MCMC chains;
+
| width=50% | number of draws from the MCMC chains;
−
| width="120" | 100
+
| width=30% | 100
 
|-  
 
|-  
−
| width="168" | PRIOR =
+
| width=20% | PRIOR =
−
| width="294" | number of draws from the prior distribution;
+
| width=50% | number of draws from the prior distribution;
−
| width="120" | 1000
+
| width=30% | 1000
 
|-  
 
|-  
−
| width="168" | INTERACTIVE =
+
| width=20% | INTERACTIVE =
−
| width="294" | file name;
+
| width=50% | file name;
−
| width="120" |  
+
| width=30% |  
 
|-  
 
|-  
−
| width="168" | PROCESSORS =
+
| width=20% | PROCESSORS =
−
| width="294" | # of processors # of threads;
+
| width=50% | # of processors # of threads;
−
| width="120" | 1 1
+
| width=30% | 1 1
 
|}
 
|}

2017年2月27日 (一) 14:18的版本

ANALYSIS命令语法

ANALYSIS:
TYPE = GENERAL; GENERAL
    BASIC;
    RANDOM;
    COMPLEX;
MIXTURE;

    BASIC;     RANDOM;     COMPLEX;

TWOLEVEL;

    BASIC;     RANDOM;     MIXTURE;     COMPLEX;

THREELEVEL;

    BASIC;     RANDOM;     COMPLEX;

CROSSCLASSIFIED;

    RANDOM;

EFA # #;

    BASIC;     MIXTURE;     COMPLEX;     TWOLEVEL; EFA # # UW* # # UB*; EFA # # UW # # UB;

ESTIMATOR = ML; depends on
MLM; analysis type
MLMV;
MLR;
MLF;
MUML;
WLS;
WLSM;
WLSMV;
ULS;
ULSMV;
GLS;
BAYES;
MODEL = CONFIGURAL;
METRIC;
SCALAR;
NOMEANSTRUCTURE; means
NOCOVARIANCES; covariances
ALLFREE; equal
ALIGNMENT = FIXED; last class
CONFIGURAL
FIXED (reference class CONFIGURAL);
FIXED (reference class BSEM);
FREE; last class
CONFIGURAL
FREE (reference class CONFIGURAL);
FREE (reference class BSEM);
DISTRIBUTION = NORMAL; NORMAL
SKEWNORMAL;
TDISTRIBUTION;
SKEWT;
PARAMETERIZATION = DELTA; DELTA
THETA;
LOGIT; LOGIT
LOGLINEAR;
PROBABILITY;

RESCOVARIANCES;

RESCOV

LINK = LOGIT; LOGIT
PROBIT;
ROTATION = GEOMIN; GEOMIN (OBLIQUE value)
GEOMIN (OBLIQUE value);
GEOMIN (ORTHOGONAL value);
QUARTIMIN; OBLIQUE
CF-VARIMAX; OBLIQUE
CF-VARIMAX (OBLIQUE);
CF-VARIMAX (ORTHOGONAL);
CF-QUARTIMAX; OBLIQUE
CF- QUARTIMAX (OBLIQUE);
CF- QUARTIMAX (ORTHOGONAL);
CF-EQUAMAX; OBLIQUE
CF- EQUAMAX (OBLIQUE);
CF- EQUAMAX (ORTHOGONAL);
CF-PARSIMAX; OBLIQUE
CF- PARSIMAX (OBLIQUE);
CF- PARSIMAX (ORTHOGONAL);
CF-FACPARSIM; OBLIQUE
CF- FACPARSIM (OBLIQUE);
CF- FACPARSIM (ORTHOGONAL);
CRAWFER; OBLIQUE 1/p
CRAWFER (OBLIQUE value);
CRAWFER (ORTHOGONAL value);
OBLIMIN; OBLIQUE 0
OBLIMIN (OBLIQUE value);
OBLIMIN (ORTHOGONAL value);
VARIMAX;
PROMAX;
TARGET;
BI-GEOMIN; OBLIQUE
BI-GEOMIN (OBLIQUE);
BI-GEOMIN (ORTHOGONAL);
BI-CF-QUARTIMAX; OBLIQUE
BI-CF-QUARTIMAX (OBLIQUE);
BI-CF-QUARTIMAX (ORTHOGONAL);
ROWSTANDARDIZATION = CORRELATION; CORRELATION
KAISER;
COVARIANCE;
PARALLEL = number; 0
REPSE = BOOTSTRAP;

JACKKNIFE; JACKKNIFE1; JACKKNIFE2; BRR; FAY (#);


.3

BASEHAZARD = ON;

OFF; ON (EQUAL); ON (UNEQUAL); OFF (EQUAL); OFF (UNEQUAL);

depends on

analysis type EQUAL

EQUAL

CHOLESKY = ON;

OFF;

depends on

analysis type

ALGORITHM = EM; depends on
EMA; analysis type
FS;

ODLL; INTEGRATION;

INTEGRATION = number of integration points;

STANDARD (number of integration points) ;

GAUSSHERMITE (number of integration points) ; MONTECARLO (number of integration points);

STANDARD

depends on analysis type 15

depends on analysis type

MCSEED = random seed for Monte Carlo integration; 0
ADAPTIVE = ON;

OFF;

ON
INFORMATION = OBSERVED; depends on
EXPECTED; analysis type
COMBINATION;
BOOTSTRAP = number of bootstrap draws;

number of bootstrap draws (STANDARD); number of bootstrap draws (RESIDUAL):

STANDARD
LRTBOOTSTRAP = number of bootstrap draws for TECH14; depends on

analysis type

STARTS = number of initial stage starts and number of final stage optimizations; depends on

analysis type

STITERATIONS = number of initial stage iterations; 10
STCONVERGENCE = initial stage convergence criterion; 1
STSCALE = random start scale; 5
STSEED = random seed for generating random starts; 0
OPTSEED = random seed for analysis;
K-1STARTS = number of initial stage starts and number of final stage optimizations for the k-1 class model for TECH14; 20 4
LRTSTARTS = number of initial stage starts and number of final stage optimizations for TECH14; 0 0 40 8
RSTARTS = number of random starts for the rotation algorithm and number of factor solutions printed for exploratory factor analysis; depends on

analysis type

ASTARTS = number of random starts for the alignment

optimization;

30
H1STARTS = Number of initial stage starts and number of final stage optimizations for the H1 model; 0 0
DIFFTEST = file name;
MULTIPLIER = file name;
COVERAGE = minimum covariance coverage with missing data; .10
ADDFREQUENCY = value divided by sample size to add to cells with zero frequency; .5
ITERATIONS = maximum number of iterations for the Quasi-Newton algorithm for continuous outcomes; 1000
SDITERATIONS = maximum number of steepest descent iterations for the Quasi-Newton algorithm for continuous outcomes; 20
H1ITERATIONS = maximum number of iterations for unrestricted model with missing data; 2000
MITERATIONS = number of iterations for the EM algorithm; 500
MCITERATIONS = number of iterations for the M step of the EM algorithm for categorical latent variables; 1
MUITERATIONS = number of iterations for the M step of the EM algorithm for censored, categorical, and count outcomes; 1
RITERATIONS = maximum number of iterations in the rotation algorithm for exploratory factor analysis; 10000
AITERATIONS = maximum number of iterations in the 5000
alignment optimization;
CONVERGENCE = convergence criterion for the Quasi-Newton algorithm for continuous outcomes; depends on

analysis type

H1CONVERGENCE = convergence criterion for unrestricted model with missing data; .0001
LOGCRITERION = likelihood convergence criterion for the EM algorithm; depends on

analysis type

RLOGCRITERION = relative likelihood convergence criterion for the EM algorithm; depends on

analysis type

MCONVERGENCE = convergence criterion for the EM algorithm; depends on

analysis type

MCCONVERGENCE = convergence criterion for the M step of the EM algorithm for categorical latent variables; .000001
MUCONVERGENCE = convergence criterion for the M step of the EM algorithm for censored, categorical, and count outcomes; .000001
RCONVERGENCE = convergence criterion for the rotation algorithm for exploratory factor analysis; .00001
ACONVERGENCE = convergence criterion for the derivatives of

the alignment optimization;.

.001
MIXC = ITERATIONS; ITERATIONS
CONVERGENCE;
M step iteration termination based on number of iterations or convergence for categorical latent variables;
MIXU = ITERATIONS; ITERATIONS
CONVERGENCE;
M step iteration termination based on number of iterations or convergence for censored, categorical, and count outcomes;
LOGHIGH = max value for logit thresholds; +15
LOGLOW = min value for logit thresholds; - 15
UCELLSIZE = minimum expected cell size; .01
VARIANCE = minimum variance value; .0001
SIMPLICITY = SQRT; SQRT
FOURTHRT;
TOLERANCE = simplicity tolerance value; .0001
METRIC= REFGROUP; REFGROUP
PRODUCT;
MATRIX = COVARIANCE; COVARIANCE
CORRELATION;
POINT = MEDIAN;

MEAN; MODE;

MEDIAN
CHAINS = number of MCMC chains; 2
BSEED = seed for MCMC random number generation; 0
STVALUES = UNPERTURBED;

PERTURBED; ML;

UNPERTURBED
MEDIATOR = LATENT;

OBSERVED;

depends on

analysis type

ALGORITHM = GIBBS;

GIBBS (PX1); GIBBS (PX2); GIBBS (PX3); GIBBS (RW); MH;

GIBBS (PX1)
BCONVERGENCE = MCMC convergence criterion using Gelman-Rubin PSR; .05
BITERATIONS = maximum and minimum number of iterations for each MCMC chain when Gelman-Rubin PSR is used; 50000 0
FBITERATIONS = fixed number of iterations for each MCMC chain when Gelman-Rubin PSR is not used;
THIN = k where every k-th MCMC iteration is saved; 1
MDITERATIONS = maximum number of iterations used to compute the Bayes multivariate mode; 10000
KOLMOGOROV = number of draws from the MCMC chains; 100
PRIOR = number of draws from the prior distribution; 1000
INTERACTIVE = file name;
PROCESSORS = # of processors # of threads; 1 1
取自“http://www.obhrm.net/index.php?title=Mplus_ANALYSIS&oldid=2161”