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Example 14
With 0 degrees of freedom, there is no hypothesis to be tested.
The estimates for regression weights, variances, and covariances are the same as in
Example 4, and so are the associated standard error estimates, critical ratios, and
p values.
Chi-square = 0.000
Degrees of freedom = 0
Probability level cannot be computed
Computation of degrees of freedom (Default model)
Number of distinct sample moments: 14
Number of distinct parameters to be estimated: 14
Degrees of freedom (14 - 14): 0
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
performance
<---
knowledge
.258 .054 4.822 ***
performance
<---
value .145 .035 4.136 ***
performance
<---
satisfaction
.049 .038 1.274 .203
Means: (Group number 1 - Default model)
Estimate
S.E. C.R. P Label
value
2.877
.035 81.818 ***
knowledge
1.380
.023 59.891 ***
satisfaction
2.461
.030 81.174 ***
Intercepts: (Group number 1 - Default model)
Estimate
S.E. C.R. P Label
performance
-.834
.140 -5.951 ***
Covariances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
knowledge
<-->
satisfaction
.004 .007 .632 .528
value <-->
satisfaction
-.006 .011 -.593 .553
knowledge
<-->
value .028 .008 3.276 .001
Variances: (Group number 1 - Default model)
Estimate
S.E. C.R. P Label
knowledge
.051
.007 6.964 ***
value
.120
.017 6.964 ***
satisfaction
.089
.013 6.964 ***
error
.012
.002 6.964 ***