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Just got a conditional accept in Sociological Science!

Why may offline population inclusion via internet equipment not make a difference for survey outcomes? Our thoughts:
a) offline population is just too small to make a difference
b) "true" non-internet users are unwilling to be equipped
c) recruited offliners turn into onliners

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@surveystatisticsandmethodology @sociology @dvpw @politicalscience @economics

"Equipping the Offline Population with Internet Access in an Online Panel: Does It Make a Difference?" In our new
German Internet Panel paper published in @JSurvStatMeth, Ruben Bach, Jessica Daikeler and I propose that the answer might be "Not really". Read more here:

doi.org/10.1093/jssam/smad003

Was looking at a 1976 #dissertation today and the author’s acknowledgments included this, about their advisor:

“Over the years Mark and I developed a good sense of timing—we never lost faith in me at the same time.”

#PhDChat

Innovation Panel Competition 2023
Have you got a research idea, but need certain data to carry out your work? Are you a researcher wanting to develop an experimental or methodological element? The @usociety Innovation Panel could help you. understandingsociety.ac.uk/inn

In case you missed it! Take a look at Mark Trappmann, Georg-Christoph Haas, Sonja Malich, Florian Keusch, Sebastian Bähr, Frauke Kreuter & Stefan Schwarz on "Augmenting survey data with digital trace data: Is there a threat to panel retention?"

"Fears of decreased panel retention, held by many panel providers, are not unjustified, however the effects we observed leveled off over time."
#research #surveys
doi.org/10.1093/jssam/smac023

We looked at > 100 papers on flaws of specific predictive optimization applications. Seven recurring clusters emerged. Given the technical architecture of predictive optimization (vs other forms of automated decision making) we show that this is exactly what we should expect. That made us ask: does *every* predictive optimization application have these flaws? We picked 8 case studies based on prevalence and impact on people. Among these, the answer seems to be yes. predictive-optimization.cs.pri

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Great news to start the week! The collaboration of #ODISSEI and #CLARIAH and 15 national partners has been awarded a #NWO Large-scale Research Infrastructure Grant of €15.2 million to build digital infrastructure for the social sciences and humanities. Read more on odissei-data.nl/en/2023/02/nwo

WAHNSINN 🙌- Hattrick für die Grundrechte!! Wir haben auch das #EqualPay-Verfahren vor dem BAG gewonnen! ⚖️Gleiche Bezahlung ist nicht verhandelbar! Bye bye “Er hat halt besser verhandelt”!! Ein Riesendurchbruch für die #Entgeltgleichheit💪Glückwunsch an die Klägerin!

Understanding Society @usociety launches 12th annual Insights report, showcasing research on health, work, and the cost of living. 2023 themes:
- economic insecurity and the cost of living
- long-term inequalities and health
- improving work and health.
understandingsociety.ac.uk/202

It's International Love Data Week!

JSSAM loves data that state if a study has been preregistered. When submitting to JSSAM, authors using empirical data should include a statement in the acknowledgements about whether the study or analysis plan was preregistered.

#LoveData23 #LoveDataWeek

📢 Job alert! Come work with me @ on the Social Cohesion Panel.

Coordinate a panel survey, conduct your own research, decide flexibly on when & where you work (within Germany). We strongly value ! Apply by Feb 28!

@surveystatisticsandmethodology
@sociology
@dvpw
@politicalscience
@economics

diw.de/sixcms/detail.php?id=di

📢 Das Wählerverzeichnis zur @ratswd Wahl schließt in ⏰zwei Wochen. Also schnell noch eintragen bis zum 27. Februar! www.ratswd.de/wahl

Wer ist durch den Wegfall der bislang kostenlosen Scientific API von Twitter betroffen?
Ich suche Beispiele für Bericht im DLF, wo dies Einfluss auf die Forschung hat.
#FediCampus #ScienceMastodon

New article alert! Chayut Wongkamthong & Olanrewaju Akande on "A Comparative Study of Imputation Methods for Multivariate Ordinal Data"

"The results highlight several important conclusions about the performances of MI methods for ordinal data as well as several implementation decisions analysts will need to make in applying the methods ... [and] illustrate some potential issues with uncertainty quantification when using some of the MI methods."
#Research #Statistics
doi.org/10.1093/jssam/smab028

New article alert! Mehdi Dagdoug, Camelia Goga & David Haziza on "Imputation Procedures in Surveys Using Nonparametric and Machine Learning Methods: an Empirical Comparison"

"We conduct an extensive empirical investigation that compares a number of imputation procedures in terms of bias and efficiency in a wide variety of settings ... The results suggest that a number of machine learning procedures perform very well in terms of bias and efficiency."
#Research #Statistics
doi.org/10.1093/jssam/smab004

New paper out w/ @j_adriaans & @csauer11 (on 🐦) in Social Psychology Quarterly!

Using German employee data, we clarify that pay justice and pay satisfaction are closely related yet distinct evaluations

doi.org/10.1177/01902725231151
1/4

Vom 13.-17. 2.2023 findet die Love Data Week statt mit spannenden Veranstaltungen zum Mitmachen und Mitlernen rund um #Forschungsdaten, #Datenmanagement, #DataLiteracy & #OpenScience. An dem internationalen Programm beteiligt sich auch die @UniKoeln: fdm.uni-koeln.de/netzwerkuzk/l
#LoveData23 #LoveDataWeek #C3RDM @UniCologne_D7

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