Dr. Carina Cornesse @CarinaCornesse@qoto.org

In case you missed it! "Panel Conditioning in A Probability-based Longitudinal study: A Comparison of Respondents with Different Levels of Survey Experience" by Fabienne Kraemer, Henning Silber, Bella Struminskaya, Matthias Sand, Michael Bosnjak, Joanna Koßmann & Bernd Weiß

"Overall, we find evidence for both negative (i.e., disadvantageous for response quality) and positive (i.e., advantageous for response quality) panel conditioning."
#Research #Survey
https://doi.org/10.1093/jssam/smad004

In case you missed it! "Discussion of the 2022 Hansen Lecture: “The Evolution of the Use of Models in Survey Sampling”" by F Jay Breidt

"Morris Hansen made seminal contributions to the early development of sampling theory, including convincing government #survey administrators to use probability sampling as opposed to nonprobability methods like quota sampling. ... This article traces some of that history."
#Statistics
https://doi.org/10.1093/jssam/smad030

The JSSAM Call for Editors deadline has been extended to November 1!

Details are here:
https://academic.oup.com/jssam/pages/call-for-editor-applications

In case you missed it! Chloe Howard, Lara M Greaves, Danny Osborne & Chris G Sibley on "Is there a Day of the Week Effect on Panel Response Rate to an Online Questionnaire Email Invitation?"

"[O]ur findings provide reassurance when conducting ongoing panel studies that once participants have joined an existing panel study, the DOW that they are emailed to complete a follow-up questionnaire does not impact their likelihood of responding."
#Research #Surveys
https://doi.org/10.1093/jssam/smad014

New in Advance Access! "Estimating the Size of Clustered Hidden Populations" by Laura J Gamble, Lisa G Johnston, Phuong N Pham, Patrick Vinck & Katherine R McLaughlin

"This research proposes two modifications to a commonly used method of hidden population size estimation to make it applicable to cases where the underlying social network in the population is disconnected or weakly connected."
#Research #Statistics
https://doi.org/10.1093/jssam/smad025

Noch schnell bis zum 30.6.23 für den #DGOF Online-Forschungsförderungsfonds bewerben: Wir unterstützen euch mit einer #Anschubfinanzierung für euer #Forschungsprojekt aus dem Bereich der #Onlineforschung.

Alle Infos hier: https://www.dgof.de/forschungsfoerderung/online-forschungsfoerderungsfonds/

In case you missed it! "Optimizing Data Collection Interventions to Balance Cost and Quality in a Sequential Multimode Survey" by Stephanie M Coffey & Michael R Elliott

"We find that this optimization process allowed us to reduce data collection costs by nearly 10 percent, without a statistically or practically significant increase in the RMSE of mean salary or a decrease in the unweighted response rate."
#Research #Survey
https://doi.org/10.1093/jssam/smad007

New in Advance Access! "Interviewer Involvement in Respondent Selection Moderates the Relationship between Response Rates and Sample Bias in Cross-National Survey Projects in Europe" by Marta Kołczyńska, Piotr Jabkowski & Stephanie Eckman

"Based on our results, we recommend that surveys include procedures to verify respondent-selection practices into their fieldwork control procedures."
#research #surveys
https://doi.org/10.1093/jssam/smad013

In case you missed it! "Calibrated Multilevel Regression with Poststratification for the Analysis of SMS Survey Data" by Jonathan Gellar, Constance Delannoy, Erin Lipman, Shirley Jeoffreys-Leach, Bobby Berkowitz, Grant J Robertson & Sarah M Hughes

"We find that our cMRP approach is effective in replicating estimates from a larger and much more expensive FTF survey."
#Research #Statistics #Survey
https://doi.org/10.1093/jssam/smab033

3 questions, 3 hours. In our new format #NFDI3questions3hours, we invite you to an open discussion on our Mastodon instance.
The first issue will focus on the use of #AI in research. It starts on Tuesday, 23 May, at 1 pm. Under this profile @NFDI we will post three questions and open the lively discussion for three hours.

➡️More: https://www.nfdi.de/new-discussion-format-nfdi3questions3hours-on-mastodon/?lang=en

#FDM #RDM

New in Advance Access! Braden Scherting, Alison J Peel, Raina Plowright & Andrew Hoegh on "Estimation of Covid-19 Prevalence Dynamics from Pooled Data"

"This [nonparametric, hierarchical Bayesian model] reduce[s] uncertainty compared to individual testing at the same budget and produce[s] similar estimates compared to individual testing at a much higher budget through simulation studies and an analysis of COVID-19 infections."
#Research #COVID #Statistics #Bayesian
https://doi.org/10.1093/jssam/smad011

JSSAM welcomes Jan Höhne as an Associate Editor for the Survey Methodology side of the journal.

Welcome, Jan!

By the way is it still imposter syndrome thinking when you are starting to think that not only you are faking but your whole discipline?

In case you missed it! "Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis Versus Literature Review" by Brady T West, James Wagner, Stephanie Coffey, and Michael R Elliott

"We find that Bayesian methods based on these two approaches result in higher-quality predictions of response propensity than more standard approaches ignoring prior information."
#Statistics #Bayesian #Research
https://doi.org/10.1093/jssam/smab036

ICYMI! "Multi-Project Assessments of Sample Quality in Cross-National Surveys: The Role of Weights in Applying External and Internal Measures of Sample Bias" by Piotr Jabkowski, Piotr Cichocki & Marta Kołczyńska

"The absence of design weights in datasets severely limits the applicability of external criteria evaluations. Incorporating design weights in calculations of internal sample quality has only minor consequences for sample bias"
#Statistics #Research
https://doi.org/10.1093/jssam/smab027

In case you missed it! Yajuan Si, Steve Heeringa, David Johnson, Roderick J A Little, Wenshuo Liu, Fabian Pfeffer, and Trivellore Raghunathan on "Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics"

"We demonstrate our strategies handling the practical difficulties of MI in the wealth component imputation to offer detailed advice for general researchers interested in applying MI with a complex dataset."
#Research #Statistics
https://doi.org/10.1093/jssam/smab038

72% of #FReDA participants are in a relationship, but not all of them live with their partner. 18% don't live with their partner. Of those living apart, 61% said there were external circumstances, which was why they were living apart.

What are the reasons why couples have to live apart? 30% don't live together for work-related reasons, 22% for housing-related reasons, & 19% for financial reasons. It's possible that these numbers change in the future since working from home is now more common.

https://fgzrisc.hypotheses.org/3814