When the socioeconomic (SES) and health variables are added in Model 2, is there evidence that they mediate the relationship between race/ethnicity and depression? How do you know? For Model 1, what score on depression would you predict for a non-white, unmarried male who is 75 years old and has a score of 2 for problems with drinking?
Use this multiple regression table to answer the series of questions below.
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Self-Reported Depression1 among Older American Adults (N = 1,946) |
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Model 1 |
Model 2 |
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Variables |
b (se) |
Beta |
b (se) |
Beta |
|
Drinking |
|
|
|
|
|
Problems with drinking (0= little to no problems with drinking to 4= serious problems with alcohol) |
.599 (.118) |
.117*** |
.429 (.108) |
.084*** |
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Socio-Demographics |
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Gender (Male =1) |
-.815 (.221) |
-.087*** |
-.553 (.203) |
-.059** |
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Race/Ethnicity (White = 1) |
-1.105 (.250) |
-.099*** |
-.088 (.239) |
-.008 |
|
Marital Status (Married = 1) |
-.894 (.233) |
-.091*** |
-.352 (.225) |
-.036 |
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Age (57 - 85 years old) |
.029 (.014) |
.048* |
-.026 (.014) |
-.043 |
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|
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Socio-Economic Indicators Income (1 = 0-24,999 to 4 = 100k or higher) |
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|
-.612 (.121) |
-.133*** |
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Education (1 = less than High school to 4 = Bachelors or more) |
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|
-.238 (.108) |
-.053* |
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Employment Status (Employed = 1) |
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|
-.548 (.224) |
-.055* |
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Health |
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|
|
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Physical Health (1 = Poor to 5 = Excellent) |
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|
-1.410 (.094) |
-.329*** |
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Intercept |
3.375 |
13.914 |
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R2 |
.042 |
.203 |
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1Self-Reported Depression |
- When the socioeconomic (SES) and health variables are added in Model 2, is there evidence that they mediate the relationship between race/ethnicity and depression? How do you know?
- For Model 1, what score on depression would you predict for a non-white, unmarried male who is 75 years old and has a score of 2 for problems with drinking?
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