Social Science Quarterly, Volume 68Southwestern Social Science Association and the University of Texas, 1987 - Political science Includes section "Book reviews." |
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Page 301
... regressions 1.1 through 1.6 . The natural logarithm of median family income is the dependent variable in regression 2.1 , and all variables are expressed in natural logarithms in regression 3.1 . Human Capital : Education . As expected ...
... regressions 1.1 through 1.6 . The natural logarithm of median family income is the dependent variable in regression 2.1 , and all variables are expressed in natural logarithms in regression 3.1 . Human Capital : Education . As expected ...
Page 390
... regression equa- tion after satisfaction with program processes and life satisfaction have been entered ( Table 1 ) . Success in obtaining employment enters the regression equation for PSE programs , but it adds only 2 percent to the ...
... regression equa- tion after satisfaction with program processes and life satisfaction have been entered ( Table 1 ) . Success in obtaining employment enters the regression equation for PSE programs , but it adds only 2 percent to the ...
Page 521
... ( Regression results for the components of the index can be computed with the data reported in Tables 1 and 2. ) The regression models for each category of violent crime and for the vio- lent crime index in 1970 are summarized in Table 3 ...
... ( Regression results for the components of the index can be computed with the data reported in Tables 1 and 2. ) The regression models for each category of violent crime and for the vio- lent crime index in 1970 are summarized in Table 3 ...
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