Analysis

The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.

The 2017 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability. Chapter 1 of this guide provides an overview of the 2017 CSD by introducing the survey's background and objectives. Chapter 2 explains the key concepts and definitions and introduces the indicators measured by the CSD questionnaire modules. Chapters 3 to 6 cover important aspects of survey methodology, from sampling design to data collection and processing. Chapters 7 and 8 cover issues of data quality, including the approaches used to minimize and correct errors throughout all stages of the survey. Users are cautioned against making comparisons with data from the 2012 CSD. Chapter 9 outlines the survey products that are available to the public, including data tables, an analytical article and reference material. Appendices provide more detail on the survey's indicators and other supporting documents for the CSD.

In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.

The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.

The Canadian Survey on Disability (CSD) is a national survey of Canadians aged 15 and over whose everyday activities are limited because of a long-term condition or health-related problem.

The 2017 CSD Concepts and Methods Guide is designed to assist CSD data users by providing relevant information on survey content and concepts, sampling design, collection methods, data processing, data quality and product availability. Chapter 1 of this guide provides an overview of the 2017 CSD by introducing the survey's background and objectives. Chapter 2 explains the key concepts and definitions and introduces the indicators measured by the CSD questionnaire modules. Chapters 3 to 6 cover important aspects of survey methodology, from sampling design to data collection and processing. Chapters 7 and 8 cover issues of data quality, including the approaches used to minimize and correct errors throughout all stages of the survey. Users are cautioned against making comparisons with data from the 2012 CSD. Chapter 9 outlines the survey products that are available to the public, including data tables, an analytical article and reference material. Appendices provide more detail on the survey's indicators and other supporting documents for the CSD.

In recent years, the use of paradata has become increasingly important to the management of collection activities at Statistics Canada. Particular attention has been paid to social surveys conducted over the phone, like the Survey of Labour and Income Dynamics (SLID). For recent SLID data collections, the number of call attempts was capped at 40 calls. Investigations of the SLID Blaise Transaction History (BTH) files were undertaken to assess the impact of the cap on calls.The purpose of the first study was to inform decisions as to the capping of call attempts, the second study focused on the nature of nonresponse given the limit of 40 attempts.

The use of paradata as auxiliary information for studying and accounting for survey nonresponse was also examined. Nonresponse adjustment models using different paradata variables gathered at the collection stage were compared to the current models based on available auxiliary information from the Labour Force Survey.