Using GSS2008 data, we investigate the relationship between sex (coded Male=0, Female=1) and income. We get the following arrows and betas for a path model (all betas are statistically significant) :
Beta for arrow from sex to income: -.17
Beta for arrow from sex to hours worked: -.26
Beta for arrow from hours worked to income: +.26
What percentage of the total effect of sex on income is indirect?
A) 17%
B) 24%
C) 29%
D) 71%
Correct Answer:
Verified
Q2: On the right-hand side of a path
Q3: Within a path model, the variable education
Q4: Calculating an indirect effect requires:
A) multiplying the
Q5: In a path model, the beta on
Q6: In a path model, the beta on
Q8: Using GSS2006 data, we investigate the relationship
Q9: Which of these variables cannot be endogenous?
A)
Q10: Path analysis has some similarities to:
A) nested
Q11: We are interested in how education
Q12: In a path model, the beta on
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