Introduction to Lisrel 8'5

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 ANOMIA and 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.

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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 NI10 NO267 NG1 MACM
• 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 NY10 NK2 NE5 LYFU,FI BEFU,FI GAFU,FI
  PHST PSDI,FR TEDI,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 MEML PC RS SS XM IT250 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 NI8 NO200 MI0 TRPA
• LA HUMRGHTS EQUALCON RACEPROB EQUALVAL EUTHANAS
  
• CRIMEPUN CONSCOBJ GUILT
• RA FIDATA.EX2
• OU MAPM
• Open .PSF
• Most of the statistical procedures can be
  performed when a PRELIS data file (.psf) is
  opened.

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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