Analysis

Telephone Data Entry (TDE) is a system by which survey respondents can return their data to the Office for National Statistics (ONS) using the keypad on their telephone and currently accounts for approximately 12% of total responses to ONS business surveys. ONS is currently increasing the number of surveys which use TDE as the primary mode of response and this paper gives an overview of the redevelopment project covering; the redevelopment of the paper questionnaire, enhancements made to the TDE system and the results from piloting these changes. Improvements to the quality of the data received and increased response via TDE as a result of these developments suggest that data quality improvements and cost savings are possible as a result of promoting TDE as the primary mode of response to short term surveys.

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.

Telephone Data Entry (TDE) is a system by which survey respondents can return their data to the Office for National Statistics (ONS) using the keypad on their telephone and currently accounts for approximately 12% of total responses to ONS business surveys. ONS is currently increasing the number of surveys which use TDE as the primary mode of response and this paper gives an overview of the redevelopment project covering; the redevelopment of the paper questionnaire, enhancements made to the TDE system and the results from piloting these changes. Improvements to the quality of the data received and increased response via TDE as a result of these developments suggest that data quality improvements and cost savings are possible as a result of promoting TDE as the primary mode of response to short term surveys.

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.