Families on TANF in South Carolina: Employment Assets and Liabilities. Appendix B. Comparison of Respondents and Non-respondents

10/01/2004

Because we depend upon survey statistics to describe attributes of the current caseload, it is important that the sample we use is a good representation of the population. Using data from our administrative database, we compared survey respondents and non-respondents on selected demographic characteristics and used Chi-square tests to test the significance level of the differences.
 
Case Characteristics
Respondents
(n=1,120)
Non-Respondents
(n=373)
X2 P value
Geographic Area Percent Percent  
Rural 34.5 29.9 2.7 0.258
Urban  38.0 40.2  
Mixed 27.5 29.9
Education of Case Head
0-8 years 4.2 4.3 4.9 0.295
9-11 years 31.9 32.7  
12 years 47.8 49.6
13+ years 16.2 13.1
Ethnicity of Case Head
Black 73.1 67.8 5.8 0.054
White 25.9 30.0  
Other 1.0 2.1%
Age of Case Head
20 or Under 12.6 11.5 2.9 0.413
21-30 45.6 41.8  
31-40 26.4 30.3
41+ 15.4 16.4
Number of Children
1 46.0 47.1 0.14 0.930
2 33.5 32.8  
3+ 20.5 20.1
Months on AFDC/TANF in the Past 10 Years
1-12 33.3 37.2 2.03 0.566
13-24 19.6 17.9  
25-36 15.8 14.2
37+ 31.3 30.5
Have UI Wages April-June 2002
Yes 28.8 31.4 0.92 0.337
No 71.2 68.6  
 
We found that the respondents and non-respondents are similar in the type of geographical area in which they resided, their years of education, age, number of children in the case, past use of AFDC/TANF, and UI wages earnings during the quarter which included the sample month (June 2002).
 
The non-respondents were more likely to be white (or non-black minorities including Hispanics, American Indians and Asians) and less likely to be blacks. Statistically, the difference in race composition of respondents and non-respondents is not significant. Therefore, we conclude that nonresponse bias is not a problem in this study, and that the sampled cases that completed the survey adequately represent the study population.

 

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