Inclusion of cell phone respondents in RDD telephone surveys is becoming standard practice in order to
reduce coverage bias due to cell phone-only households. Survey methodologists are still attempting to
characterize differences between respondents reached via traditional landlines versus cell phones, and
have begun to explore more detailed “telephone status” or usage groups (wireless-only, wireless mostly,
dual users, landline mostly, landline only). While there are well-known demographic and health-related
differences between, for example, cell-phone only households and those with landlines, little is known
about telephone status differences in attitudes towards surveys, response mode preferences, or
likelihood of future survey participation. This paper uses data from two overlapping dual frame RDD
surveys in the Pittsburgh (PA) metro area that used standard questions (NHIS; Pew Center) for
determining telephone status. The first survey (n=795) compares wireless-only (n=138), wireless-mostly
(264), dual-users (147), landline-mostly (174), and landline-only (69) respondents on: (1) likelihood of
participation in future cell phone surveys; (2) longest future survey (in minutes) they would be willing to do
on a cell phone/mobile device; (3) response mode preference in future surveys (general and healthrelated/
sensitive topics) for [a] landline phone, [b] cell phone, [c] web survey on PC, or [d] selfadministered
survey on cell phone/mobile device. The second survey (n=2,126) compares the same
groups (192 WO; 322 WM, 757 DU; 548 LM, 307 LO) on willingness to join a local survey research panel,
and provide contact information including address and e-mail, and detailed demographic information
(n=814, 38.2% of total sample agreed). All comparative analyses are conducted with and without
statistical control of demographic variables. Results from this study will add to the literature on profiles of
respondents of differing telephone use status reachable by cell and landline phone, and may have
implications for the planning and design of mixed-mode surveys.