Privacy Attitudes toward Mouse-Tracking Paradata Collection

Predicting Question Difficulty in Web Surveys: A Machine Learning Approach Based on Mouse Movement Features

(2021) Amanda Fernández-Fontelo et al.   SOCIAL SCIENCE COMPUTER REVIEW

Acceptability of app-based contact tracing for COVID-19: Cross-country survey evidence (Preprint)

(2020) Samuel Altmann et al.   JMIR mHealth and uHealth

Understanding Respondents’ Attitudes Toward Web Paradata Use

(2019) Tanja Kunz et al.   SOCIAL SCIENCE COMPUTER REVIEW

How to capitalize on a priori contrasts in linear (mixed) models: A tutorial

(2019) Daniel J. Schad et al.   JOURNAL OF MEMORY AND LANGUAGE

A Typology of Web Survey Paradata for Assessing Total Survey Error

(2018) Colleen A. McClain et al.   SOCIAL SCIENCE COMPUTER REVIEW

How Mouse-tracking Can Advance Social Cognitive Theory

(2018) Paul E. Stillman et al.   TRENDS IN COGNITIVE SCIENCES

Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent

(2018) Frauke Kreuter et al.   SOCIAL SCIENCE COMPUTER REVIEW

Using Mouse Movements to Predict Web Survey Response Difficulty

(2016) Rachel Horwitz et al.   SOCIAL SCIENCE COMPUTER REVIEW

Respecting Context to Protect Privacy: Why Meaning Matters

(2015) Helen Nissenbaum   SCIENCE AND ENGINEERING ETHICS