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02b Structural Equation Models with Directly Observed Variables

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(1)

Structural Equation Models with

Directly Observed Variables II

(2)

Identification

(3)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Over Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 19

(4)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Over Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 20

(5)

gpa

height

weight

rating

academic

attract

error1

error2

1 1

Over Ideridentified Model

Number of variances/covariances = 21 No. of parameters estimated =20

(6)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Just Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 21

(7)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Just Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 21

(8)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Under Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 22

(9)

Covariances

(10)

Covariances among Observed

Variables

rowtype varname perform knowl value sat train

n 98 98 98 98 98

cov perform 0.022

cov knowl 0.017 0.053

cov value 0.024 0.028 0.121

cov sat train 0.004 0.004 -0.006 0.09

cov train 0.018 0.018 0.035 -0.006 0.094

(11)

Covariances among Exogenous

Variables

gpa

height

weight

rating

academic

attract

error1

error2

1 1

Underidentified Model

Number of variances/covariances = 21 No. of parameters estimated =22

(12)

Covariances among Measurement

Errors

anomia67 powles67 anomia71 powles71

educatio SEI

67

Example 6: Model C Exploratory analysis

(13)

GPA

Example 7

A nonrecursive model

Felson and Bohrnstedt (1979) (Female subjects)

Over Identified Model

No. of Variances/Covariances = 21 No. of Parameters Estimated = 20

DF = 1

(14)

Class Exercise

• Create a new model:

– From the menu choose File/New

• Specify the Data file:

– Choose File/Data Files

– Browse to the tutorial folder. The path is:

• C:\Program Files\Amos 6\Examples • In the Files of type list select SPSS • Select Fels_mal.sav

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