SNA seminar in the Caribbean Integrated questionnaires Marie Brodeur Director General, Industry...

SNA seminar in the Caribbean

Integrated questionnaires

Marie BrodeurDirector General, Industry Statistics Branch, Statistics Canada

St. LuciaFebruary, 2014

Statistics Canada • Statistique Canada


Objectives of an Integrated Questionnaire Facilitate Operations at all survey steps

Easier to add or delete content

Reduce response burden

Allow comparison of data from various sources

Capacity to link survey cells with admin data


Improvements to Survey Content Since 2002, initiatives to improve response rates and

reduce response burden Reduce size of the questionnaire Consistency of questions Common concepts among surveys

Questionnaire testing Chart of accounts

Survey instructions on the guide Electronic Questionnaires Meta data driven


Aligning to Corporate Business Architecture Requirement for metadata-driven systems Enterprise Architecture

Referencing Generic Models for Statistical Agencies International trends in developing models supporting internal and global

harmonization of statistics, interoperability and re-usability Generic Statistical Business Process Model; Generic Statistical Information

Model; Metadata Management Guidelines: principles for handling metadata

Clarifying our terminology and concepts Developed variable naming convention: statistical concept embedded in the

variable nomenclature; variable names are now standardized, searchable, promoting harmonization and coherence.


Outside IBSP Metadata EnvironmentTools and Interfaces (Questionnaire Development, Data Review and Analysis)

IBSP Metadata Scope

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Outside IBSP Metadata Environment

Tools and Interfaces (Questionnaire Development, Data Review and Analysis)

Content Strategy

Survey ContentConcept,

Questionnaire,Modules

Questions,Variables

Derived Variables

Collection Strategy

Capture specifications for all modes

Edit specifications for all modes

Output specifications for all modes

Sampling Strategy

Post Collection Processing- Rolling Estimates / editing / Estimation Strategy

Edit and Imputation SpecsData Integration SpecsRolling Estimate Parameters(Data Mappings, Supporting data set identifiers and location of origin)Estimation SpecsAllocation or Roll up SpecsReporting Specs for MFULTE list

Edit and Imputation (Banff) Metadata

Quality IndicatorsData Integration FlagsTargeted Editing ReportsRolling Estimate Iteration RecordRevision Metadata

Output Parameters to

System of National

Accounts, Subject Matter

Areas

Other Generalized

Systems


Bank of survey cells

Consistency of questions Same meaning for manufacturing or services

industries Operating revenue Investment income Depreciation/ amortization Total operating expenses

Some cells specific to some industries


Characteristics of Questions

Specific to each industry

Commodities for manufacturing Details for services

Services outputs Services inputs

For all respondents Financial information collected through tax


Chart of Accounts


Expected Benefits of a Chart of Accounts

Standardization in business data collection Higher survey response Increase in quality of data Comparison of data from various sources Increase efficiency in using administrative data


Two modelsEvolution over 15 years Unified Enterprise System:

one questionnaire operational constraints IBSP: Modular Approach Flexibility to add or remove content Extremely easy to maintain Recommended approach for the future See Traveler Accommodation Survey


Examples from the Traveller Accomodation Survey

Questionnaires for Complex enterprises

Questionnaire for simple establishments

SNA seminar in the Caribbean Integrated questionnaires Marie Brodeur Director General, Industry...

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