Interviewer subjective preference for interviewing device.

<p><i>N = number of interviews.</i></p><p>Interviewer subjective preference for interviewing device.</p

Analysis of device and other determinants of paper and tablet coding errors: Mixed-effects binomial regression model.

†<p><i>Wald test.</i></p><p><i>*p-value<0.0001.</i></p><p><i>**serving as reference.</i></p><p>Analysis of device and other determinants of paper and tablet coding errors: Mixed-effects binomial regression model.</p

Paper-tablet discrepancies and device attributable coding errors with reference to residency status.

<p><i>n: number of interviews.</i></p><p><i>%: Percentage of errors with reference to 234 comparison fields. p-value: Simple mixed binomial regression model with factor research assistant team.</i></p><p><i>NA: Not applicable.</i></p><p><i>The difference between the means of paper errors and tablet errors for urban and rural interviews is statistically insignificant. Paired t-test p-values for urban and rural setting are 0.83 and 0.75 respectively.</i></p><p>Paper-tablet discrepancies and device attributable coding errors with reference to residency status.</p

Device-specific cost comparison of tablet and paper studies based on sample size.

<p>The analysis assumes that costs of printing and data entry recur at a fixed rate for a paper interview study. It is assumed that for timely completion of the study, an additional team will be added for both paper and tablet interview studies of more than 400 interviews, and subsequently for further increases of 200. This imposes a device-specific additional cost for the tablet, but no additional device-specific cost for the paper interview study. Device-specific cost is equal for a study with n = 98. See text for additional assumptions on which this projection is based.</p

Classification of discrepancies with reference to device attributable errors.

<p>Classification of discrepancies with reference to device attributable errors.</p