Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3
In earlier rounds of the European Social Survey, non-response bias was studied by using population statistics and call record information (para data). In the third round, a new feature was introduced: two kinds of non-respondent surveys were set up using a short list of questions which were designed...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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European Survey Research Association
2010-12-01
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| Series: | Survey Research Methods |
| Subjects: | |
| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/3774 |
| _version_ | 1811319931416870912 |
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| author | Hideko Matsuo Jaak Billiet Geert Loosveldt Frode Berglund Øyven Kleven |
| author_facet | Hideko Matsuo Jaak Billiet Geert Loosveldt Frode Berglund Øyven Kleven |
| author_sort | Hideko Matsuo |
| collection | DOAJ |
| description | In earlier rounds of the European Social Survey, non-response bias was studied by using population statistics and call record information (para data). In the third round, a new feature was introduced: two kinds of non-respondent surveys were set up using a short list of questions which were designed to study non-response bias. In Belgium, a very short questionnaire was offered to all refusals at the doorstep (doorstep questions survey, DQS). In Norway and two other countries, somewhat longer versions of the basic questionnaire were offered to all main survey non-respondents and to samples of respondents (non-response survey, NRS). Logistic regression models were applied in order to estimate response propensities. This paper shows that propensity score weighting adjustment of non-response bias, on the basis of key socio-demographic and attitudinal variables, is effective for most demographic and non-demographic variables in both Belgium and Norway. Application of the weighting procedure balances the samples of cooperative respondents and non-respondents according to the key variables studied since systematic differences between cooperative respondents and non-respondents have disappeared. |
| first_indexed | 2024-04-13T12:50:57Z |
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| id | doaj.art-2b3c0b11148d4a01a03bc995e2cee2f6 |
| institution | Directory Open Access Journal |
| issn | 1864-3361 |
| language | English |
| last_indexed | 2024-04-13T12:50:57Z |
| publishDate | 2010-12-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj.art-2b3c0b11148d4a01a03bc995e2cee2f62022-12-22T02:46:12ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612010-12-014310.18148/srm/2010.v4i3.37744491Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3Hideko MatsuoJaak BillietGeert LoosveldtFrode BerglundØyven KlevenIn earlier rounds of the European Social Survey, non-response bias was studied by using population statistics and call record information (para data). In the third round, a new feature was introduced: two kinds of non-respondent surveys were set up using a short list of questions which were designed to study non-response bias. In Belgium, a very short questionnaire was offered to all refusals at the doorstep (doorstep questions survey, DQS). In Norway and two other countries, somewhat longer versions of the basic questionnaire were offered to all main survey non-respondents and to samples of respondents (non-response survey, NRS). Logistic regression models were applied in order to estimate response propensities. This paper shows that propensity score weighting adjustment of non-response bias, on the basis of key socio-demographic and attitudinal variables, is effective for most demographic and non-demographic variables in both Belgium and Norway. Application of the weighting procedure balances the samples of cooperative respondents and non-respondents according to the key variables studied since systematic differences between cooperative respondents and non-respondents have disappeared.https://ojs.ub.uni-konstanz.de/srm/article/view/3774non-response surveynon-response biaspropensity score weightingdata quality |
| spellingShingle | Hideko Matsuo Jaak Billiet Geert Loosveldt Frode Berglund Øyven Kleven Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 Survey Research Methods non-response survey non-response bias propensity score weighting data quality |
| title | Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 |
| title_full | Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 |
| title_fullStr | Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 |
| title_full_unstemmed | Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 |
| title_short | Measurement and adjustment of non-response bias based on non-response surveys: the case of Belgium and Norway in the European Social Survey Round 3 |
| title_sort | measurement and adjustment of non response bias based on non response surveys the case of belgium and norway in the european social survey round 3 |
| topic | non-response survey non-response bias propensity score weighting data quality |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/3774 |
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