Survey Methodology

The June 2024 online issue of Survey Methodology is now available. This issue contains 14 papers.

Special issue for papers presented at the 29th Morris Hansen Lecture

Partha Lahiri

Preface to the special issue for papers presented at the 29th Morris Hansen Lecture on the use of nonprobability samples

Courtney Kennedy, Andrew Mercer and Arnold Lau

Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith

Comments by J. Michael Brick on "Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith"

Comments by Michael R. Elliott on "Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith"

Comments by Aditi Sen on "Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith"

Authors' response to comments on "Exploring the assumption that commercial online nonprobability survey respondents are answering in good faith"

Yan Li

Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples

Comments by Jae Kwang Kim and Yonghyun Kwon on "Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples"

Comments by Takumi Saegusa on "Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples": Causal inference, non-probability sample, and finite population

Author's response to comments on "Exchangeability assumption in propensity-score based adjustment methods for population mean estimation using non-probability samples"

Jean-François Beaumont, Keven Bosa, Andrew Brennan, Joanne Charlebois and Kenneth Chu

Handling non-probability samples through inverse probability weighting with an application to Statistics Canada's crowdsourcing data

Comments by Julie Gershunskaya and Vladislav Beresovsky on "Handling non-probability samples through inverse probability weighting with an application to Statistics Canada's crowdsourcing data"

Comments by Changbao Wu on "Handling non-probability samples through inverse probability weighting with an application to Statistics Canada's crowdsourcing data"

Authors' response to comments on "Handling non-probability samples through inverse probability weighting with an application to Statistics Canada's crowdsourcing data": Some new developments on likelihood approaches to estimation of participation probabilities for non-probability samples

Note to readers

Since its launch in 1975, the peer-reviewed journal Survey Methodology has allowed researchers, statisticians, mathematicians and methodologists from around the world to share ongoing research in the field of survey techniques and their practical applications. The journal focuses on the development and evaluation of methodologies as applied to data collection or to data themselves.

Historical papers from Survey Methodology are now available online. Electronic copies of any paper published since June 1978 (Volume 4, no. 1) are available online in the Analysis module of Statistics Canada's website. A few selected papers from Volume 1 to Volume 3, no. 2, are also available online. All other papers can be obtained by contacting us (infostats@statcan.gc.ca).

All papers are refereed. However, authors retain full responsibility for the contents of their papers, and opinions expressed are not necessarily those of the journal's editorial board or of Statistics Canada.

Products

The June 2024 issue of Survey Methodology, Vol. 50, no. 1 (12-001-X), is now available.

Contact information

For more information, or to enquire about the concepts, methods or data quality of this release, contact us (toll-free 1-800-263-1136514-283-8300infostats@statcan.gc.ca) or Media Relations (statcan.mediahotline-ligneinfomedias.statcan@statcan.gc.ca).

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