Journal of Survey Statistics and Methodology

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.

Are you doing innovative work with survey paradata? If so, submit it to this upcoming special issue of JSSAM!

😍 @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...

A New Sampling Framework for Spatial Surveys with Application to the French National Forest Inventory Abstract. The French National Forest Inventory (NFI) employs a two-stage two-phase sampling scheme summarized by the following key steps: first, the territ

New article alert! Trinh H K Duong, Olivier Bouriaud, & Guillaume Chauvet on "A New Sampling Framework for Spatial Surveys with Application to the French National Forest Inventory"

doi.org/10.1093/jssa...

I'm truly happy to share with this community 🦋 that our paper is finally out!
If you wanna know more about novel uses of Fisher's Noncentral Hypergeometric distribution and how to make Bayesian inference on its parameters ⤵️⤵️⤵️

Thanks to JSSAM for the journey!

Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods Abstract. We consider methods for model-based small area estimation when the number of areas with sampled data is a small fraction of the total areas for w

New Article Alert! "Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods" by Victoire Michal, Jon Wakefield, Alexandra M Schmidt, Alicia Cavanaugh, Brian E Robinson, Jill Baumgartner @mcgilluniversity.bsky.social doi.org/10.1093/jssa...

Inferring a Population Composition From Survey Data With Nonignorable Nonresponse: Borrowing Information From External Sources Abstract. We introduce a method for inference on the composition of a heterogeneous population using survey data, accounting for the possibility that captu

New article alert! "Inferring a Population Composition From Survey Data With Nonignorable Nonresponse: Borrowing Information From External Sources" by Veronica Ballerini and Brunero Liseo

@vballerini.bsky.social

doi.org/10.1093/jssa...

Optimal Conformal Prediction for Small Areas Abstract. Existing methods for small-area data involve a trade-off between maintaining area-level frequentist coverage rates and improving precision via th

New Article Alert! Optimal Conformal Prediction for Small Areas by Elizabeth Bersson, Peter D Hoff doi.org/10.1093/jssa...

Optimal Weights for double Many-To-One Generalized Weight Share Method Abstract. In probabilistic sampling, a sampling frame comprising the target population may not be available. However, indirect sampling can be used when th

New in Advanced Access!

Optimal Weights for Double Many-To-One Generalized Weight Share Method by Estelle Medous
"This paper examines the implementation and variance of generalized weight share method estimators when two intermediate populations are used to draw the sample."
doi.org/10.1093/jssa...

Optimal Predictors of General Small Area Parameters Under an Informative Sample Design Using Parametric Sample Distribution Models Abstract. Two challenges in small area estimation occur when (i) the sample selection mechanism depends on the outcome variable and (ii) the parameter of i

New Article Alert! "Optimal Predictors of General Small Area Parameters Under an Informative Sample Design Using Parametric Sample Distribution Models" by Yanghyeon Cho, María Guadarrama-Sanz, Isabel Molina, Abdulhakeem Eideh, Emily Berg

doi.org/10.1093/jssa...

Optimal Allocation Under Anticipated Nonresponse Abstract. Survey response rates have declined dramatically in recent years, increasing the costs of data collection. Despite this, there is little existing

New Article Alert! Jonathan Mendelson, Michael R Elliott on "Optimal Allocation Under Anticipated Nonresponse" doi.org/10.1093/jssa...

Unconditional Lotteries in Web Surveys—Evidence from a Large-Scale Experiment Abstract. Extensive research suggests that upfront unconditional payments boost response rates compared to a promised payment conditional upon completion.

New in Advanced Access! Unconditional Lotteries in Web Surveys-Evidence from a Large-Scale Experiment by Helge Holtermann, Siv-Elisabeth Skjelbred, Vegard Wiborg

academic.oup.com/jssam/advanc...

Improving Donor Imputation Using the Prediction Power of Random Forests: a Combination of SwissCheese and missForest Abstract. Imputation procedures are frequently used to treat nonresponse. With random hot deck imputation, missing values are replaced by valid observed va

New Article Alert! Arnaud Tripet, Esther Eustache, Yves Tillé, Improving Donor Imputation Using the Prediction Power of Random Forests: a Combination of SwissCheese and missForest doi.org/10.1093/jssa...