Effect of PDM on CTY via CLT

Part A. Variables Model = 4; Y = CTY; X = PDM; M = CLT; Statistical Controls: CONTROL= MEOC; Sample size: 206

Part B. Outcome: CLT Model Summary

R

R-sq

MSE

F

Df1

Df2

P

0.66

0.43

0.09

76.37

2.0000

203.0000

0.0000

Model

Coeff

SE

t

p

LLCI

ULCI

Constant

1.56

0.19

8.23

0.0000

1.19

1.94

PDM

0.21

0.04

4.63

0.0000

0.12

0.29

MEOC

0.42

0.05

8.57

0.0000

0.32

0.52

Part C. Outcome: CTY Model Summary

R

R-sq

MSE

F

Df1

Df2

P

0.65

0.43

0.10

50.24

3.0000

202.0000

0.0000

Model

Coeff

SE

t

p

LLCI

ULCI

Constant

0.92

0.23

3.94

0.0001

0.46

1.39

CLT

0.36

0.08

4.78

0.0000

0.21

0.51

PDM

0.20

0.05

4.06

0.0001

0.10

0.30

MEOC

0.19

0.06

3.08

0.0024

0.07

0.31

TOTAL EFFECT MODEL

Part D. Outcome: CTY Model Summary

R

R-sq

MSE

F

Df1

Df2

p

0.60

0.36

0.11

57.71

2.0000

203.0000

0.0000

Model

Coeff

SE

t

p

LLCI

ULCI

Constant

1.48

0.21

6.95

0.0000

1.06

1.90

PDM

0.27

0.05

5.53

0.0000

0.18

0.37

MEOC

0.34

0.06

6.14

0.0000

0.23

0.45

TOTAL, DIRECT, AND INDIRECT EFFECTS

Part E.

Total Effect of X on Y

Effect

SE

t

p

LLCI

ULCI

0.28

0.05

5.53

0.0000

0.18

0.37