This article explores interviewer/respondent interactions using a handheld computer (HHC) and identifies issues arising from using a self-administered paper form to create a mobile computer-assisted personal interview (CAPI) instrument. To evaluate the success of this instrument, the authors used the behavior-coding method to evaluate a sample of about 220 audiotaped interviews to identify survey questions that cause problems at the administration and/or response stage. This article explores problems with the interview, as it was conducted on an HHC, both at a question level and overall. The objective of this study was to investigate whether the automation of this survey instrument encouraged standardized interviewing procedures by examining how interviewers read the questions and how respondents answer them. The authors discuss mode-specific problems that arose in the interview and propose suggestions for future surveys that use a similar method of data collection.
In a recent report, the Commission for Evidence-Based Policymaking advocated for expanded use of data, including data linkage, from federal statistical and regulatory agencies to help guide decision-making and ultimately improve programs and policies. How data sharing and linkage is framed is important, and attitudes about data sharing and linkage are driven by respondents’ privacy beliefs and views towards the government more generally. Using data from the RDD telephone Gallup Daily Tracking Survey, we examine how favorability towards data sharing for the purpose of informed decision-making compares to other purposes. Respondents were less favorable towards data sharing when the purpose was for informed decision-making than for efficient use of taxpayer money, government accountability, or for community benefits, suggesting this is an ineffective way to frame data sharing to increase support. However, views towards the government, beliefs about privacy, and response behavior are still important determinants of favorability.
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