Journal of Survey Statistics and Methodology
@jssam.bsky.social
The Journal of Survey Statistics and Methodology publishes cutting-edge scholarly articles on statistical and methodological issues for sample surveys and related data systems. See more here: https://academic.oup.com/jssam
@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
November 12, 2025 at 11:17 PM
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/...).
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
academic.oup.com
March 20, 2025 at 11:38 PM
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/...).
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.
December 19, 2024 at 6:16 PM
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.
Reposted by Journal of Survey Statistics and Methodology
Are you doing innovative work with survey paradata? If so, submit it to this upcoming special issue of JSSAM!
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/...
Submissions to the special issue are welcomed between December 16, 2024 and May 16, 2025
Details are here:
academic.oup.com/jssam/pages/...
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
academic.oup.com
December 19, 2024 at 3:56 PM
Are you doing innovative work with survey paradata? If so, submit it to this upcoming special issue of JSSAM!
Reposted by Journal of Survey Statistics and Methodology
😍 @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. 👏👏
The only paper that I knew we would accept when I read it on first submission was the Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA checklist) by Seidenberg, Moser, and @bradytwest.bsky.social.
doi.org/10.1093/jssa...
doi.org/10.1093/jssa...
Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA)
Abstract. Methodological issues pertaining to transparency and analytic error have been widely documented for publications featuring analysis of complex sa
doi.org
December 18, 2024 at 8:41 PM
😍 @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 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/...
Submissions to the special issue are welcomed between December 16, 2024 and May 16, 2025
Details are here:
academic.oup.com/jssam/pages/...
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
academic.oup.com
December 19, 2024 at 2:39 PM
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/...
Submissions to the special issue are welcomed between December 16, 2024 and May 16, 2025
Details are here:
academic.oup.com/jssam/pages/...
Reposted by Journal of Survey Statistics and Methodology
This was a really helpful read.
The PRICSSA paper provides practical guidance to analysts who use complex survey data. This was our first Editor’s Choice paper. Read it and use it.
Seidenberg, Moser,& West, 2023 Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA), JSSAM 11 (4), 743–757, doi.org/10.1093/jssa...
Seidenberg, Moser,& West, 2023 Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA), JSSAM 11 (4), 743–757, doi.org/10.1093/jssa...
Preferred Reporting Items for Complex Sample Survey Analysis (PRICSSA)
Abstract. Methodological issues pertaining to transparency and analytic error have been widely documented for publications featuring analysis of complex sa
doi.org
December 18, 2024 at 3:54 PM
This was a really helpful read.
Reposted by Journal of Survey Statistics and Methodology
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.
Long ago and faraway (3 years ago???), it seemed like smartphones were a newfangled technology for collecting data. @floriankeusch.bsky.social & Fred Conrad’s research synthesis of what kinds of information can and should be collected using smartphones is a great article.
doi.org/10.1093/jssa...
doi.org/10.1093/jssa...
Using Smartphones to Capture and Combine Self-Reports and Passively Measured Behavior in Social Research
Abstract. With the ubiquity of smartphones, it is possible to collect self-reports as well as to passively measure behaviors and states (e.g., locations, m
doi.org
December 18, 2024 at 5:10 PM
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.
Reposted by Journal of Survey Statistics and Methodology
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.
December 18, 2024 at 3:23 PM
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.
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...
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
doi.org
December 18, 2024 at 5:00 PM
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...
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...
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
doi.org
December 17, 2024 at 5:04 PM
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...
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...
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
doi.org
December 16, 2024 at 5:00 PM
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...
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...
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
doi.org
December 13, 2024 at 5:28 PM
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...
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...
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
doi.org
December 13, 2024 at 1:33 PM
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...
doi.org/10.1093/jssa...
Reposted by Journal of Survey Statistics and Methodology
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!
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!
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...
@vballerini.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
doi.org
December 12, 2024 at 3:03 PM
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!
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!
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...
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
doi.org
December 12, 2024 at 5:00 PM
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...
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...
@vballerini.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
doi.org
December 12, 2024 at 2:13 PM
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...
@vballerini.bsky.social
doi.org/10.1093/jssa...
New Article Alert! Optimal Conformal Prediction for Small Areas by Elizabeth Bersson, Peter D Hoff 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
doi.org
December 11, 2024 at 5:10 PM
New Article Alert! Optimal Conformal Prediction for Small Areas by Elizabeth Bersson, Peter D Hoff doi.org/10.1093/jssa...
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 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 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
doi.org
December 11, 2024 at 2:17 PM
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 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...
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...
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
doi.org
December 10, 2024 at 5:13 PM
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...
doi.org/10.1093/jssa...
New Article Alert! Jonathan Mendelson, Michael R Elliott on "Optimal Allocation Under Anticipated Nonresponse" 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
doi.org
December 9, 2024 at 4:54 PM
New Article Alert! Jonathan Mendelson, Michael R Elliott on "Optimal Allocation Under Anticipated Nonresponse" doi.org/10.1093/jssa...
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...
academic.oup.com/jssam/advanc...
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.
academic.oup.com
December 9, 2024 at 2:41 PM
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...
academic.oup.com/jssam/advanc...
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...
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
doi.org
December 6, 2024 at 5:00 PM
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...
New Article Alert! Estimation of a Population Total Under Nonresponse Using Follow-up by Marius Stefan, Michael A Hidiroglou doi.org/10.1093/jssa...
Estimation of a Population Total Under Nonresponse Using Follow-up
Abstract. In this article, we propose methods to minimize bias due to unit nonresponse. We consider a two-phase sampling design where the second phase is a
doi.org
December 5, 2024 at 5:03 PM
New Article Alert! Estimation of a Population Total Under Nonresponse Using Follow-up by Marius Stefan, Michael A Hidiroglou doi.org/10.1093/jssa...
New Article Alert! "Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach" by Tingyu Zhu, Laura J Gamble, Matthew Klapman, Lan Xue, Virginia M Lesser doi.org/10.1093/jssa...
Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach
Abstract. While probability sampling has been considered the gold standard of survey methods, nonprobability sampling is increasingly popular due to its co
doi.org
December 4, 2024 at 5:00 PM
New Article Alert! "Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach" by Tingyu Zhu, Laura J Gamble, Matthew Klapman, Lan Xue, Virginia M Lesser doi.org/10.1093/jssa...