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40 Standardized Procedures for Personal Travel Surveys Table 9. Final disposition codes for RDD telephone surveys (adapted from AAPOR, 2004). Eligibility Eligibility Disposition Disposition Code Code Eligible 1.0 Complete 1.1 Interview Partial 1.2 Eligible Non- 2.0 Refusal and termination 2.10 Interview Refusal 2.11 Household-level refusal 2.111 Termination 2.12 Respondent never available after call back request 2.21 Telephone answering device (message confirms residential 2.22 household) Miscellaneous 2.35 Unknown 3.0 Unknown if housing unit 3.10 Eligibility, Non- Not attempted or worked 3.11 Interview Always busy 3.12 No answer 3.13 Telephone answering device (don't know if housing unit) 3.14 Telecommunication technological barriers, e.g., call blocking 3.15 Technical phone problems 3.16 Housing unit, unknown if eligible respondent 3.20 No screener completed 3.21 Other 3.90 Not Eligible 4.0 Out of sample 4.10 Fax/data line 4.20 Non-working number 4.31 Disconnected number 4.32 Temporarily out of service 4.33 Special technological circumstances 4.40 Number changed 4.41 Cell phone 4.42 Cell forwarding 4.43 Business, government office, other organization 4.51 Institution 4.52 Group quarters1 4.53 No eligible respondent 4.70 Quota filled 4.80 1 If specified as ineligible in the survey design. 2. The estimate for eligibility from unknown cases should be based on the best available sci- entific information; and 3. The basis of the estimate should be stated explicitly and explained. It is recommended not to use the terms resolved and known, and unresolved and unknown, inter- changeably. Depending on the bounds of the study conducted, cases labeled as eligible may not be resolved. This arises when call backs are given eligible status. Clearly, however, these calls have not been resolved; therefore, using the terms interchangeably in this situation would be incorrect. 2.7.2 Q-2: Transportation Measures of Quality A variety of data quality measures have been proposed in this study but, in this section, we consider variables that have not been used elsewhere. The types of variables considered are those that are temporally and spatially stable and, therefore, should acquire similar values among sur- veys. Special circumstances may cause values to deviate from the norm but, generally, deviations from standard values are an indication that the data are not of the expected quality. As documented in Section 10.2 of the Technical Appendix, past studies suggest that typical non-mobile rates are 20% at the person level and 1% at the household level. It is recommended that these values serve as reference values against which new surveys are measured. Person non-mobile rates less than 20% and household non-mobile rates of less than 1% suggest data