Response and nonresponse
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- 1. Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey ArchivedArticles and reports: 82-003-X201300511792Geography: CanadaDescription:
This article describes implementation of the indoor air component of the 2009 to 2011 Canadian Health Measures Survey and presents information about response rates and results of field quality control samples.
Release date: 2013-05-15 - Articles and reports: 11-522-X200800010994Description:
The growing difficulty of reaching respondents has a general impact on non-response in telephone surveys, especially those that use random digit dialling (RDD), such as the General Social Survey (GSS). The GSS is an annual multipurpose survey with 25,000 respondents. Its aim is to monitor the characteristics of and major changes in Canada's social structure. GSS Cycle 21 (2007) was about the family, social support and retirement. Its target population consisted of persons aged 45 and over living in the 10 Canadian provinces. For more effective coverage, part of the sample was taken from a follow-up with the respondents of GSS Cycle 20 (2006), which was on family transitions. The remainder was a new RDD sample. In this paper, we describe the survey's sampling plan and the random digit dialling method used. Then we discuss the challenges of calculating the non-response rate in an RDD survey that targets a subset of a population, for which the in-scope population must be estimated or modelled. This is done primarily through the use of paradata. The methodology used in GSS Cycle 21 is presented in detail.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010999Description:
The choice of number of call attempts in a telephone survey is an important decision. A large number of call attempts makes the data collection costly and time-consuming; and a small number of attempts decreases the response set from which conclusions are drawn and increases the variance. The decision can also have an effect on the nonresponse bias. In this paper we study the effects of number of call attempts on the nonresponse rate and the nonresponse bias in two surveys conducted by Statistics Sweden: The Labour Force Survey (LFS) and Household Finances (HF).
By use of paradata we calculate the response rate as a function of the number of call attempts. To estimate the nonresponse bias we use estimates of some register variables, where observations are available for both respondents and nonrespondents. We also calculate estimates of some real survey parameters as functions of varying number of call attempts. The results indicate that it is possible to reduce the current number of call attempts without getting an increased nonresponse bias.
Release date: 2009-12-03 - Articles and reports: 12-001-X200800210756Description:
In longitudinal surveys nonresponse often occurs in a pattern that is not monotone. We consider estimation of time-dependent means under the assumption that the nonresponse mechanism is last-value-dependent. Since the last value itself may be missing when nonresponse is nonmonotone, the nonresponse mechanism under consideration is nonignorable. We propose an imputation method by first deriving some regression imputation models according to the nonresponse mechanism and then applying nonparametric regression imputation. We assume that the longitudinal data follow a Markov chain with finite second-order moments. No other assumption is imposed on the joint distribution of longitudinal data and their nonresponse indicators. A bootstrap method is applied for variance estimation. Some simulation results and an example concerning the Current Employment Survey are presented.
Release date: 2008-12-23 - 5. The impact of unconditional incentives upon a multi-stage survey: the Health Survey for England ArchivedArticles and reports: 11-522-X200600110451Description:
Household response rates have steadily declined across many large scale social surveys. The Health Survey for England has observed a 9 percentage points decline in response across an eleven year period. Evidence from other studies has suggested that unconditional gifts or incentives, with small monetary value, can improve rates of co-operation. An incentive experiment conducted on the Health Survey for England aimed to replicate findings of a previous experiment carried out on the Family Resources Study, which showed significant increases in household response among those who had received a book of first class stamps with the advance letter. The HSE incentive experiment, however, did not show any significant differences in household response rates, response to other stages of the survey or in respondent profile between two experimental conditions (stamps included with the advance letter, bookmark sent with the advance letter) and the control group (the advance letter alone).
Release date: 2008-03-17 - Articles and reports: 12-001-X20000015183Description:
For surveys which involve more than one stage of data collection, one method recommended for adjusting weights for nonresponse (after the first stage of data collection) entails utilizing auxiliary variables (from previous stages of data collection) which are identified as predictors of nonresponse.
Release date: 2000-08-30 - 7. Measuring Non-response in a Longitudinal Survey: The Experience of the Survey of Labour and Income Dynamics ArchivedArticles and reports: 75F0002M1994016Description:
This paper presents various data quality measures proposed for the Survey of Labour and Income Dynamics (SLID), including wave and panel response rates and measures of the characteristics of non-respondents.
Release date: 1995-12-30 - Articles and reports: 12-001-X198000254944Description:
Due to the absence of hard data and the lack of standardization with respect to nonresponse terminology and reporting procedures, U.S. commercial survey researchers have been unable to obtain an accurate assessment of the nature and extent of the nonresponse problem. However, the results of two recent studies conducted by the author among leading U.S. based market and public opinion research firms revealed that nonresponse is one of the major problems now confronting the commercial survey research industry. This paper discusses the results of the two studies and their implications.
Release date: 1980-12-15
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- 1. Implementation of the indoor air component of cycle 2 of the Canadian Health Measures Survey ArchivedArticles and reports: 82-003-X201300511792Geography: CanadaDescription:
This article describes implementation of the indoor air component of the 2009 to 2011 Canadian Health Measures Survey and presents information about response rates and results of field quality control samples.
Release date: 2013-05-15 - Articles and reports: 11-522-X200800010994Description:
The growing difficulty of reaching respondents has a general impact on non-response in telephone surveys, especially those that use random digit dialling (RDD), such as the General Social Survey (GSS). The GSS is an annual multipurpose survey with 25,000 respondents. Its aim is to monitor the characteristics of and major changes in Canada's social structure. GSS Cycle 21 (2007) was about the family, social support and retirement. Its target population consisted of persons aged 45 and over living in the 10 Canadian provinces. For more effective coverage, part of the sample was taken from a follow-up with the respondents of GSS Cycle 20 (2006), which was on family transitions. The remainder was a new RDD sample. In this paper, we describe the survey's sampling plan and the random digit dialling method used. Then we discuss the challenges of calculating the non-response rate in an RDD survey that targets a subset of a population, for which the in-scope population must be estimated or modelled. This is done primarily through the use of paradata. The methodology used in GSS Cycle 21 is presented in detail.
Release date: 2009-12-03 - Articles and reports: 11-522-X200800010999Description:
The choice of number of call attempts in a telephone survey is an important decision. A large number of call attempts makes the data collection costly and time-consuming; and a small number of attempts decreases the response set from which conclusions are drawn and increases the variance. The decision can also have an effect on the nonresponse bias. In this paper we study the effects of number of call attempts on the nonresponse rate and the nonresponse bias in two surveys conducted by Statistics Sweden: The Labour Force Survey (LFS) and Household Finances (HF).
By use of paradata we calculate the response rate as a function of the number of call attempts. To estimate the nonresponse bias we use estimates of some register variables, where observations are available for both respondents and nonrespondents. We also calculate estimates of some real survey parameters as functions of varying number of call attempts. The results indicate that it is possible to reduce the current number of call attempts without getting an increased nonresponse bias.
Release date: 2009-12-03 - Articles and reports: 12-001-X200800210756Description:
In longitudinal surveys nonresponse often occurs in a pattern that is not monotone. We consider estimation of time-dependent means under the assumption that the nonresponse mechanism is last-value-dependent. Since the last value itself may be missing when nonresponse is nonmonotone, the nonresponse mechanism under consideration is nonignorable. We propose an imputation method by first deriving some regression imputation models according to the nonresponse mechanism and then applying nonparametric regression imputation. We assume that the longitudinal data follow a Markov chain with finite second-order moments. No other assumption is imposed on the joint distribution of longitudinal data and their nonresponse indicators. A bootstrap method is applied for variance estimation. Some simulation results and an example concerning the Current Employment Survey are presented.
Release date: 2008-12-23 - 5. The impact of unconditional incentives upon a multi-stage survey: the Health Survey for England ArchivedArticles and reports: 11-522-X200600110451Description:
Household response rates have steadily declined across many large scale social surveys. The Health Survey for England has observed a 9 percentage points decline in response across an eleven year period. Evidence from other studies has suggested that unconditional gifts or incentives, with small monetary value, can improve rates of co-operation. An incentive experiment conducted on the Health Survey for England aimed to replicate findings of a previous experiment carried out on the Family Resources Study, which showed significant increases in household response among those who had received a book of first class stamps with the advance letter. The HSE incentive experiment, however, did not show any significant differences in household response rates, response to other stages of the survey or in respondent profile between two experimental conditions (stamps included with the advance letter, bookmark sent with the advance letter) and the control group (the advance letter alone).
Release date: 2008-03-17 - Articles and reports: 12-001-X20000015183Description:
For surveys which involve more than one stage of data collection, one method recommended for adjusting weights for nonresponse (after the first stage of data collection) entails utilizing auxiliary variables (from previous stages of data collection) which are identified as predictors of nonresponse.
Release date: 2000-08-30 - 7. Measuring Non-response in a Longitudinal Survey: The Experience of the Survey of Labour and Income Dynamics ArchivedArticles and reports: 75F0002M1994016Description:
This paper presents various data quality measures proposed for the Survey of Labour and Income Dynamics (SLID), including wave and panel response rates and measures of the characteristics of non-respondents.
Release date: 1995-12-30 - Articles and reports: 12-001-X198000254944Description:
Due to the absence of hard data and the lack of standardization with respect to nonresponse terminology and reporting procedures, U.S. commercial survey researchers have been unable to obtain an accurate assessment of the nature and extent of the nonresponse problem. However, the results of two recent studies conducted by the author among leading U.S. based market and public opinion research firms revealed that nonresponse is one of the major problems now confronting the commercial survey research industry. This paper discusses the results of the two studies and their implications.
Release date: 1980-12-15
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