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Introduction to Lisrel 8.5

Introduction to Lisrel 8.5. Presented in DHPR, NHRI 2004.6. Overview – Lisrel 8.5. Lisrel 8.5 Lisrel Lisrel: for advanced user Simplis: for beginner Only need to assign variable association Prelis. Options to run Lisrel. Syntax only Simplis, Lisrel

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Introduction to Lisrel 8.5

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  1. Introduction to Lisrel 8.5 Presented in DHPR, NHRI 2004.6

  2. Overview – Lisrel 8.5 • Lisrel 8.5 • Lisrel • Lisrel: for advanced user • Simplis: for beginner • Only need to assign variable association • Prelis

  3. Options to run Lisrel • Syntax only • Simplis, Lisrel * Notice:Function will not be activated until the original file was saved as a new one. • Simplis project • Lisrel project • Path Diagram

  4. Example 1 : Creating Path Diagram Interactively by Simplis Project - 1 • Path analysis for latent variables • Recursive models for longitudinal studies, 1967 and 1971

  5. Example 1 : Creating Path Diagram Interactively by Simplis Project - 2 • Notes: • The error terms of ANOMIAand POWERL are specified to be correlated over time. • The four one-way arrows to the right of the diagram represent the measurement errors in ANOMIA67, POWERL67, ANOMIA71 and POWERL71 respectively. • The two-way arrows on the right indicate that some of the measurement errors are correlated. The covariance between the two error terms for each variable can be interpreted as a specific error variance. For other models for the same data.

  6. Example 1 : Creating Path Diagram Interactively by Simplis Project - 3 Observed Variables ANOMIA67 POWERL67 ANOMIA71 POWERL71 EDUC SEI Covariance Matrix from file 'C:\Data\SP\SP.COV' Sample Size = 932 Latent Variables ALIEN67 ALIEN71 SES Relationships ANOMIA67 POWERL67 = ALIEN67 ANOMIA71 POWERL71 = ALIEN71 EDUC SEI = SES ALIEN67 = SES ALIEN71 = ALIEN67 SES Set Error Covariance of ANOMIA67 and ANOMIA71 Free Set Error Covariance of POWERL67 and POWERL71 Free Path Diagram Number of Decimals = 4 Iterations = 250 Method of Estimation: Maximum Likelihood End of Problem

  7. Example 2 : Creating Path Diagram Interactively by Lisrel Project- 1 • second-order factor analysis model.

  8. Example 2 : Creating Path Diagram Interactively by Lisrel Project- 2 • The following equation • is in the form of a factor analysis model for with first order factors and measurement errors Now suppose that the variables in turn can be accounted for by a set of factors so called second-order factors, so that • where is a matrix of second-order factor loadings and is a vector of unique components for • To illustrate the model, we use data on some cognitive ability tests. The standard deviations and correlations of two forms of each of five tests are given in the table below. The sample size (N) is 267.

  9. Example 2 : Creating Path Diagram Interactively by Lisrel Project- 3 • The model specification is: • Here * denotes parameters to be estimated and 0 and 1 are fixed parameters.

  10. Example 2 : Creating Path Diagram Interactively by Lisrel Project- 4 The number of Y-variables = 10 Second order factor analysis DA NI=10 NO=267 NG=1 MA=CM LA 'GESCOM A' 'GESCOM B' 'CONWOR A' 'CONWOR B' 'HIDPAT A' 'HIDPAT B' THIROUND THIBLUE 'VOCABU A' 'VOCABU B' CM FI='C:\Lisrel Data\LS\sofa3' SY SE 1 2 3 4 5 6 7 8 9 10 / MO NY=10 NK=2 NE=5 LY=FU,FI BE=FU,FI GA=FU,FI PH=ST PS=DI,FR TE=DI,FR LE Gescom Conwor Hidpat Things Vovabu LK Speedclo Vocabul VA 1.00 LY(1,1) LY(2,1) LY(3,2) LY(4,2) LY(5,3) LY(6,3) LY(7,4) LY(9,5) LY(10,5) FR LY(8,4) GA(1,1) GA(2,1) GA(3,1) GA(4,2) GA(5,2) PD OU ME=ML PC RS SS XM IT=250 LY=.lys GA=.gas TV=.tvs

  11. Example 3 : Directly Create Syntax and Path Diagram by drawing Path Diagram -1 • Six Psychological Variables-A Confirmatory Factor Analysis

  12. Example 3 : Directly Create Syntax and Path Diagram by drawing Path Diagram - 2 Six Psychological Variables- A Confirmatory Factor Analysis SYSTEM FILE from file 'C:\Lisrel Data\PD\EX5.DSF' Sample Size = 145 Latent Variables VISUAL VERBAL Relationships VISPERC = VISUAL CUBES = VISUAL LOZENGES = VISUAL 'PAR COM' = VISUAL 'SEN COM' = VERBAL WORDMEAN = VERBAL Set the Variance of VISUAL to 1.00 Set the Covariances of VERBAL and VISUAL to 0.53 Set the Variance of VERBAL to 1.00 Path Diagram Iterations = 250 Method of Estimation: Maximum Likelihood End of Problem

  13. How to use Prelis - 1 • Run Syntax • EXAMPLE : ATTITUDES OF MORALITY AND EQUALITY DA NI=8 NO=200 MI=0 TR=PA LA HUMRGHTS EQUALCON RACEPROB EQUALVAL EUTHANAS CRIMEPUN CONSCOBJ GUILT RA FI=DATA.EX2 OU MA=PM • Open *.PSF • Most of the statistical procedures can be performed when a PRELIS data file (*.psf) is opened.

  14. How to use Prelis - 2 • Importing data into Prelis • From *.sas7bdat or * .txt • Assigning labels to variable • Define missing values • Save and output covariance or correlation matrixes

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