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- Surveys and statistical programs – Documentation: 61F0041M1998003Description:
This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.
After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.
Release date: 1998-04-03 - Articles and reports: 61F0041M1998001Description:
In 1995, Statistics Canada began publishing specialization and coverage ratios for Canadian manufacturing industries. These ratios measure the homogeneity and completeness of those industries. Constructing these ratios requires, output commodity data and a concordance that links commodities and industries. The output commodity data are collected at the establishment level by the Annual Survey of Manufactures (ASM)
Release date: 1998-04-01
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- Articles and reports: 61F0041M1998001Description:
In 1995, Statistics Canada began publishing specialization and coverage ratios for Canadian manufacturing industries. These ratios measure the homogeneity and completeness of those industries. Constructing these ratios requires, output commodity data and a concordance that links commodities and industries. The output commodity data are collected at the establishment level by the Annual Survey of Manufactures (ASM)
Release date: 1998-04-01
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- Surveys and statistical programs – Documentation: 61F0041M1998003Description:
This on-line product describes the personalization of the long-form questionnaires of Canada's Annual Survey of Manufactures (ASM). Personalization was motivated by the desire to reduce respondent burden. Prior to personalization, long-form questionnaires were the same for all the establishments of a given 4-digit SIC industry. Each questionnaire contained a list comprising almost all the commodities likely to be used as inputs or produced as outputs by that industry. For the typical establishment, only a small subset of the commodities listed was applicable. Personalization involved tailoring those lists to each individual establishment, based on the previous reporting of that same establishment.
After first defining terms and then providing some quantification of the need for personalization, the paper details a number of the prerequisites - an algorithm for commodity selection, a set of stand-alone commodity descriptions, and an automated questionnaire production system. The paper next details a number of the impacts of personalization - and does so in terms of response burden, loss of information, and automation. The paper concludes with a summary and some recommendations.
Release date: 1998-04-03
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