LISREL. Mels, G. (2006). LISREL for Windows: Getting Started Guide. Lincolnwood, IL: Scientific Software International, Inc.
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1 LISREL Mels, G. (2006). LISREL for Windows: Getting Started Guide. Lincolnwood, IL: Scientific Software International, Inc. LISREL: Structural Equation Modeling, Multilevel Structural Equation Modeling, Multilevel Linear and Nonlinear Modeling, Formal Inference-based Recursive Modeling, and Generalized Linear Modeling. 2
2 1. Uvod 2. Datoteke Kazalo 3. Kreiranje (Prileganje) mernega modela SPSS podatkom (Fitting a measurement model to SPSS data) 4. Kreiranje (Prileganje) modela strukturnih enačb SPSS podatkom (Fitting a structural equation model to SPSS data) 5. Robustni maksimum verjetja (Robust maximum likelihood) 6. Tehtani najmanjši kvadrati (Weighted least squares WLS) 7. Več-nivojska konfirmativna/potrjevalna faktorska analiza (Multilevel confirmatory factor analysis CFA) 8. Kreiranje vrednosti latentnih spremenljivk in ostankov/rezidualov opazovanih spremenljivk (Latent variable scores and observational residuals) 9. Uporaba vrednosti latentnih spremenljivk (Using latent variable scores) 10. Navzkrižno preverjanje (Cross validation) 11. Logistična regresija (Logistic regression analysis) 12. Cenzurirana regresija (Censored regression analysis) 13. Latentne krivulje rasti (Latent growth curves LGC) 14. Posplošeni linearni model (Generalized linear models GLIM) 3
3 1 Uvod Aplikacije: LISREL: Standard and Multilevel Structural Equation Modeling + Full Information Maximum Likelihood (FIML) method for missing data. PRELIS: Application for manipulating data, transforming data, generating data, computing moment matrices, computing asymptotic covariance matrices, performing regression analyses, performing exploratory factor analyses of ordinal and continuous variables, etc. MULTILEV: Multilevel linear and nonlinear models. CATFIRM: Formal Inference-based Recursive Modelling (categorical data). CONFIRM: Formal Inference-based Recursive Modelling (continuous data). SURVEYGLIM: Generalized LInear Models (GLIMs). MAPGLIM: Fits GLIMs to multilevel data. Vhodni podatki: SPSS, SAS, STATA, Statistica, Microsoft Excel, SYSTAT, BMDP, etc. kot PRELIS System File (PSF). 4
4 Kreiranje diagrama poti: 11
5 Kreiranje SIMPLIS sintakse: Setup > Build SIMPLIS Syntax RUN LISREL. Nestandardizirane faktorske uteži 12
6 Sintakstna SIMPLIS datoteka depres3.spl Raw Data from file 'C:\LISREL9 Student Examples\TUTORIAL\depress.lsf' Asymptotic Covariance Matrix from file Depress.acm Latent Variables Self Impuls Depress Relationships SELF1-SELF5 = Self DEPRES1-DEPRES4 = Depress IMPULS1-IMPULS3 = Impuls Self = Impuls Depress Impuls = Depress Path Diagram End of Problem 21
7 Rezultat: HI-kvadrat je drugačen 22
8 6. Tehtani najmanjši kvadrati (Weighted least squares WLS) Osnova je svobodna asimptotična distribucija (Asymptotically Distribution Free ADF), kar je implementirano v LISREL kot tehtani najmanjši kvadrati (Weighted Least Squares WLS). Potrebno je: Asymptotic Covariance Matrix (ACM). Kovatiance ali korelacije. 23
9 Path diagram 47
10 RetailH1.SPL in Path diagram: Definirane so variance faktorjev, kovariance faktorjev in merjene napake vaianc. 48
11 HI-kvadrat test obeh modelov (Retail.XLS): 49
12 Podatki: usa.lsf. 11 Logistična regresija (Logistic regression analysis) Odvisna spremenljivka: NOSAY (Politična primernost). Neodvisne spremenljivke: EDUCAT: Izobrazba. AGE: Starost. GENDER: Spol. 50
13 .. a 51
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