1. Donde Esta Lisrel. http://www. ssicentral
Donde Esta Lisrel? be forewarned: Lisrel is not Mac-friendly

3. You can download a “free 15 day trial edition” (the program has everything, but it goes “poof” in 2 weeks), or you can download a “free student edition” (which remains accessible forever but has truncated options, e.g., fewer variables are allowed, etc.):

4. Small Example to Play with… Lisrel Syntax for Path Model
Title end w period.
path example miniwoohoo.
da ni=5 no=100 ma=cm
cm sy
2.0113 la
q c v cs r se
v cs r q c /
mo ny=3 ne=3 nx=2 nk=2 lx=id,fi td=ze,fi ly=id,fi te=ze,fi ph=st,fr be=fu,fr ga=fu,fr
pa be
0 0 0
1 0 0
0 1 0
pa ga
1 1
1 0
0 1 pd ou
“da”=data, ni=#input vars,
no=sample size, ma=cm
says analyze the cov matr
“la” = labels,
next line list your vars (ni of them).
“se” = select,
endogenous first, then exogenous.
“mo”=model, nx=#xvars, nk=#ksi
constructs/factors, lx=factor ldgs matrix, “fu,fr”=full, free, td=meas error, “di,fr”=diag,free
“pa”=pattern, 0 means
set fixed (to zero), 1 means
estimate this parameter.
“pd”= draw a path diagram for me.
“ou”= output

5. Lisrel Notation relates ‘s to ‘s column goes to/ affects/causes row
relates ‘s to other ‘s column goes to row
column goes to
(or “affects” or
“causes” row)

6. Lisrel Notation η1 η2 η3 ξ1 ξ2 η1 ζ1 0 0 ξ1 1 φ η2 0 ζ2 0 ξ2 φ 1
PSI (prediction/modeling) errors on eta’s:
PHI (intercorrelations among the exogeneous constructs, ksi’s)
η1 η2 η3
ξ1 ξ2
η1 ζ
η ζ2 0
η ζ3
ξ φ
ξ2 φ 1

7. Small Example to Play with… Lisrel Syntax for Path Model
path example miniwoohoo.
da ni=5 no=100 ma=cm
cm sy la
q c v cs r se
v cs r q c /
mo ny=3 ne=3 nx=2 nk=2 lx=id,fi td=ze,fi ly=id,fi te=ze,fi ph=st,fr be=fu,fr ga=fu,fr
pa be
0 0 0
1 0 0
0 1 0
pa ga
1 1
1 0
0 1 ou

8. Path Model Key Output Parameter estimate Standard error t-statistic
BETA v cs r v cs
(0.10)
0.49 r
(0.08)
6.73
GAMMA
q c v
(0.06) (0.06) cs
6.13 r
-3.93
Parameter estimate
Standard error
t-statistic
Goodness of Fit Statistics
Degrees of Freedom = 5
Minimum Fit Function Chi-Square = (P = 0.00)
Comparative Fit Index (CFI) = 0.86
Standardized RMR = 0.073

9. The Lisrel Model Measurement Model: Structural Model: Definitions:
y is a vector of observed indicators of the dependent latent endogenous variables
x is a vector of independent, or exogenous, variables
Λy is the factor loadings of y on η
Λx is the matrix of factor loadings of of x on ξ
η is a vector of latent dependent, or endogenous constructs
ξ is a vector of the independent latent variables, exogenous constructs
ε is vector of measurement errors in y
δ is vector of measurement errors in x
Γ is a matrix of coefficients of the ξ’s on the η’s (the structural relationships)
B is a matrix of coefficients of the η’s on η’s (the structural relationship)
ζ is a vector of equation errors (random disturbances) trying to predict the
endogenous guys η (the structural relationship errors)

10. Figure 3: Consumer Evaluation Relationships per Culture, per Marketplace
Goods
Services
Cost
Cost
Value
Value
Latin America
Service
Serv
Qual
Continue
Qual
Continue
Prod
Product
Easy
Easy
SalesRep
SalesRep
Cost
Cost
Value
Value
Northern Europe
Serv
Serv
Qual
Continue
Qual
Continue
Prod
Prod
Easy
Easy
SalesRep
SalesRep
Iacobucci, Grisaffe, Duhachek and Marcati, “FAC-SEM: A Methodology for Modeling Factorial Structural Equations Models, Applied to Cross-Cultural and Cross-Industry Drivers of Customer Evaluations,” Journal of Service Research. Research also featured in, “Mapping the World of Customer Satisfaction,” Harvard Business Review.