Global NewsMay 11
Geopolitical tension now seen as top economic risk in Bank of Canada survey
Geopolitical tensions are now considered a bigger risk risk to Canada's economic productivity than trade conflict with countries like the U.S, according to the latest survey data.
#Canada #Economy #World #BankofCanada
https://globalnews.ca/news/11843460/bank-of-canada-survey-iran/
NERDS.xyz – Real Tech News for Real Nerds [Unofficial]Jan 13

Americans keep using terrible passwords in 2026 as survey finds pet names and birthdays still rule

https://fed.brid.gy/r/https://nerds.xyz/2026/01/americans-bad-password-habits-2026/

GESISJan 6
#GESISblog #blog #DataQuality #SurveyData
The new post on the GESIS blog shows how the #KODAQS #Toolbox helps to improve the quality of survey data: "The KODAQS Toolbox – Assessing and Mitigating Data Quality Issues - Part 1: Survey Data".
https://blog.gesis.org/the-kodaqs-toolbox-assessing-and-mitigating-data-quality-issues-part-1-survey-data/
The KODAQS Toolbox – Assessing and Mitigating Data Quality Issues - Part 1: Survey Data

Chances are, you’ve run into this before. Regression results that change depending on how you handle missing values in your dependent variable. A long item battery where many respondents select the same response option all

GESIS Blog
VerbundFDBNov 17, 2025

📢 20 November: Meet the Experts – PIAAC 2023 (Germany)
@GESIS presents the new German PIAAC Scientific Use File. The session introduces key variables, documentation, and methodological features (structure, missing scheme, weighting concept, plausible values) and highlights differences between Cycles 1 and 2 relevant for trend analysis.
An opportunity to discuss questions directly with the PIAAC team.

#GESIS #PIAAC2023 #SurveyData #ResearchData

Dennis Alexis Valin DittrichSep 24, 2025
Measuring the Unmeasurable? Systematic Evidence on Scale Transformations in Subjective #SurveyData https://d.repec.org/n?u=RePEc:iza:izadps:dp18029&r=&r=hap
"The relationship between the ‘cost’ of deviating from #linearity and the risk of sign reversal is, as one might expect, concave. Approximately 20% of results published in leading economic journals are reversed with some transformation that has a plausible cost. Restricting ourselves to interpreting wellbeing data as merely ordinal (i.e. allowing for any departure from linear scale use), increases this share to about 60%.
… Turning to relative magnitudes, we focus on unemployment and income as key determinants studied across multiple papers in our database. While coefficient signs for these are fairly robust, their relative magnitudes are highly sensitive to scale use assumptions. Marginal rates of substitution between unemployment and income can vary by an order of magnitude under plausible deviations from linearity.
… #statisticalInference and estimates of relative effect magnitudes become unreliable, even under modest departures from linearity. This is especially problematic for policy applications. We show that these concerns generalise to many other widely used survey-based constructs."
#ordinalMeasures #LikertScale #economics
Centre for Population ChangeSep 11, 2025

📕 New paper by CPC-CG's Vincent Ramos 👇

Examines #childbearing decisions in societies experiencing declining #birthrates - how might worries about #caring for #ageing parents and job insecurity affect expectations around starting a #family?
https://link.springer.com/article/10.1007/s11113-025-09969-9

#demography #socialsciences #fertility #familyplanning #experimentalsurvey #Germany #surveydata

GESISAug 26, 2025

#Call #ResearchProposals #WebTracking #SurveyData #GESISPanel

Collect Your Own Linked Web Tracking and Survey Data with the GESIS Panel.dbd Digital Behavioral Data Sample

In the recently established GESIS Panel.dbd Digital Behavioral Data Sample, panelists participate in repeated surveys and digital behavioral data collections such as web tracking, where participants' web browsing behavior (including the content of website visits) is recorded.

GESISJun 6, 2025

#dataquality #Surveydata #digitalbehavioraldata #linkeddatasources
Official launch of the #KODAQS #Toolbox in July 2025

The KODAQS Toolbox is a new, open platform for assessing and improving data quality in the social sciences. It supports researchers in systematically reflecting on the quality of their data - along three central data types: Survey data, digital behavioral data (e.g. app or sensor data) and linked data sources (e.g. register and geospatial data).
https://kodaqs-toolbox.gesis.org/

GESISSep 26, 2024

#R #surveydata #qualityindicators
New R-package out now!

"resquin" (response quality indicators) provides functions to calculate survey data quality indicators to help identifying low-quality responses. resp_styles() and resp_distributions() provide response quality indicators geared towards multi-item scales or matrix questions.

By Matthias Roth, Nivedita Bhaktha, Matthias Bluemke, Thomas Knopf, Fabienne Krämer, Clemens Lechner, and Çağla Yildiz

Check it out!
https://matroth.github.io/resquin/

Response Quality Indicators for Survey Research

Calculate common survey data quality indicators for multi-item scales and matrix questions. Currently supports the calculation of response style indicators and response distribution indicators. For an overview on response quality indicators see Bhaktha N, Henning S, Clemens L (2024). Characterizing response quality in surveys with multi-item scales: A unified framework <https://osf.io/9gs67/>.

GESISAug 23, 2024

#Call for Research Proposals: Collect Your Own Linked #WebTracking and #SurveyData with the New GESIS Panel.dbd Digital Behavioral Data Sample:
Participate in repeated surveys and digital behavioral data collections within the GESIS Panel.dbd.

https://www.gesis.org/forschung/tagungen-und-konferenzen/details/article/call-for-research-proposals-collect-your-own-linked-web-tracking-and-survey-data-with-the-new-gesis-paneldbd-digital-behavioral-data-sample

Call for Research Proposals: Collect Your Own Linked Web Tracking and Survey Data with the New GESIS Panel.dbd Digital Behavioral Data Sample

GESIS Leibniz Institut für Sozialwissenschaften