This study evaluates sample size parameters for vaccination coverage cluster surveys, providing practical methodological guidance based on applications from Pakistan.

All articles are free to read for a limited time.

Sample Size Parameters for Vaccination Coverage Cluster Surveys—Insights from Pakistan Abstract. Since the 1970s the World Health Organization (WHO) has promoted household surveys with a cluster sample design as an important method to estimat

Check out this article from JSSAM Special Issue 13(5):

“Sample Size Parameters for Vaccination Coverage Cluster Surveys—Insights from Pakistan”
by Dale A. Rhoda et al.

🔗 academic.oup.com/jssam/article/13/5/587/8417582

This article applies transformed Fay-Herriot models to generate quarterly small area estimates of extreme poverty in Brazil, integrating survey and administrative data for improved policy measurement.

All articles are free to read for a limited time.

Check out this article from JSSAM Special Issue 13(5):

“Quarterly Small Area Estimates of Extreme Poverty in Brazil Using Transformed Fay-Herriot Models”
by Guilherme Anthony Pinheiro Jacob et al.

🔗 academic.oup.com/jssam/article/13/5/552/8277613

This article introduces an empirical likelihood approach for inference under nonignorable sampling and nonresponse, strengthening tools for addressing missing data in complex survey designs.

All articles are free to read for a limited time.

Check out this article from JSSAM Special Issue 13(5):

“Statistical Inference Under Nonignorable Sampling and Nonresponse—An Empirical Likelihood Approach”
by Danny Pfeffermann et al.

🔗 academic.oup.com/jssam/article/13/5/519/8300118

This study applies small area estimation methods to generate localized estimates of child trafficking prevalence in Sierra Leone, illustrating how statistical modeling can inform targeted policy decisions.

All articles are free to read for a limited time

Check out this article from JSSAM Special Issue 13(5):

“Small Area Estimation of Child Trafficking Proportions in Chiefdoms of Sierra Leone and Overall Ranking of the Chiefdoms”
by Gauri S. Datta et al.

🔗 academic.oup.com/jssam/article/13/5/494/8233878

This article examines how excluding survey satisficers can reduce bias in both probability and nonprobability online panels, offering practical guidance for improving data quality in modern survey research.

All articles are free to read for a limited time.

Check out this article from JSSAM Special Issue 13(5):

“Reducing the Bias from Probability and Nonprobability Online Panels by Excluding Satisficers”
by Sam Slamowicz et al.

🔗 academic.oup.com/jssam/article/13/5/469/8443212

This article examines how excluding survey satisfiers can reduce bias in both probability and non-probability online panels, offering practical guidance for improving data quality in modern survey research.

All articles are free to read for a limited time.

Check out this article from JSSAM Special Issue 13(5):

“Reducing the Bias from Probability and Nonprobability Online Panels by Excluding Satisficers”
by Sam Slamowicz et al.

🔗 academic.oup.com/jssam/article/13/5/469/8443212

We hope this special issue inspires continued international collaboration and methodological innovation.

Guest Editors: Carolina Franco, Mamadou Diallo, Sunghee Lee, Denise Britz do Nascimento Silva, Sharan Sharma & Jibum Kim.

@aapor.bsky.social
@amstatnews.bsky.social

Also featured:

- Sample size design for vaccination coverage cluster surveys
- Evaluation of bias in nonprobability panels

Together, these contributions illustrate the breadth of survey methodology’s impact.

Featuring applications from Israel, Brazil, Sierra Leone, Pakistan & Australia, this issue covers:

- Inference under nonignorable sampling & nonresponse
- Quarterly poverty estimation using survey & administrative data
- Small area estimation of child trafficking prevalence

JSSAM Special Issue 13(5) is now available.

The first of two special issues showcasing survey research across Asia, Africa, Latin America, the Caribbean, and Oceania is now online:

🔗 academic.oup.com/jssam/issue/13/5

Thread ⬇️

@bsky.app ISSUE 4 IS OUT! with 3 survey methods and 2 statistics articles. We've got a backlog of 20 accepted articles -- some in preprint now -- but we're seeking more manuscripts for 2026, especially stat papers. So please consider submitting your next manuscript to JSSAM. #AAPOR

Call for Submissions Special Issue: Advances in Survey Paradata Guest Editors: Brady T. West, Lynne S. Schofield The Journal of Survey Statistics and Methodology seeks submissions

The Journal of Survey Statistics and Methodology welcomes submissions for the 2026 special issue on Advances in Survey Paradata through May 16 (academic.oup.com/jssam/pages/...).

The new editorial team of Emily Berg and Brad Edwards will pick up managing the JSSAM social media in 2025! Social media from the journal will be on hiatus until then.

Best wishes from the Nebraska-based social media team to all JSSAM readers for the New Year!

This is the last day of posts from the Univ. of Nebraska-based social media team. We set up the JSSAM social media accounts 4 years ago to spread the word about the great work published in the journal. The account has been managed by editor @olsonkm.bsky.social, Angelica Phillips, & Ryan Doud.

😍 @olsonkm.bsky.social: If you use complex survey data, read and use the PRICSSA checklist (Preferred Reporting Items for Complex Sample Survey Analysis) in this Editor's Choice paper by Seidenberg, Moser and our @bradytwest.bsky.social et al. 👏👏

Call for Submissions Special Issue: Advances in Survey Paradata Guest Editors: Brady T. West, Lynne S. Schofield The Journal of Survey Statistics and Methodology seeks submissions

Call for papers! Special Issue: Advances in Survey Paradata with Guest Editors: @bradytwest.bsky.social & Lynne S. Schofield

Submissions to the special issue are welcomed between December 16, 2024 and May 16, 2025

Details are here:
academic.oup.com/jssam/pages/...

This was a really helpful read.

Thanks, @olsonkm.bsky.social, for highlighting our paper. This was fun to write because it forced us to really think deeply about the connection between self-reports and sensor data, and it helped me clarify my own thinking about how we can combine the two.

I have served as the editor-in-chief for the survey methods side of @jssam.bsky.social for the last 4 years. We have had really great papers come through. To end my term, I want to highlight a few of them from the survey methods side of the journal in no particular order, other than the first paper.

Total Bias in Income Surveys when Nonresponse and Measurement Errors are Correlated Abstract. Household surveys on income might suffer from quality limitations mainly due to the difficulty of enrolling households (unit nonresponse) and ret

New Article Alert! Andrea Neri, Eleonora Porreca on "Total Bias in Income Surveys when Nonresponse and Measurement Errors are Correlated" doi.org/10.1093/jssa...

Bayesian Multisource Hierarchical Models with Applications to the Monthly Retail Trade Survey Abstract. The integration of multiple survey, administrative, and third-party data offers the opportunity to innovate and improve survey estimation via sta

New Article Alert! Stephen J Kaputa, Darcy Steeg Morris, Scott H Holan on "Bayesian Multisource Hierarchical Models with Applications to the Monthly Retail Trade Survey" doi.org/10.1093/jssa...

Area-Level Model-Based Small Area Estimation of Divergence Indexes in the Spanish Labour Force Survey Abstract. This article develops model-based predictors for area-level proportions of employed men and women by occupation sectors and for entropies and div

New Article Alert! Esteban Cabello, Domingo Morales, Agustín Pérez on "Area-Level Model-Based Small Area Estimation of Divergence Indexes in the Spanish Labour Force Survey" doi.org/10.1093/jssa...

Real-World Data Versus Probability Surveys for Estimating Health Conditions at the State Level Abstract. Government statistical offices worldwide are under pressure to produce statistics rapidly and for more detailed geographies, to compete with unof

New Article Alert! "Real-World Data Versus Probability Surveys for Estimating Health Conditions at the State Level" by David A Marker, Charity Hilton, Jacob Zelko, Jon Duke, Deborah Rolka, Rachel Kaufmann, Richard Boyd @thecedarprince.bsky.social doi.org/10.1093/jssa...