Peter Lugtig

Associate Professor of Survey Methodology

Utrecht University


Peter Lugtig is an associate professor at the department of Methodology and Statistics at Utrecht University, where he specializes in survey methodology, which includes inferences using a mix of survey data and big data and the modelling of survey errors, and the use of sensor technology in smartphones.

Next to his research, he has a passion for teaching and thus is involved in several Bachelor’s, Master’s and post-graduate courses about statistics and survey methodology.


  • Survey Methodology
  • Statistical Inferences
  • Structural Equation Modeling


  • PhD in Survey Methodology, 2011

    Utrecht University

  • MSc in Political Science, 2006

    University of Amsterdam

Recent Posts

Push-to-web and the role of incentives

With Vera Toepoel , and people at NIDI and the German Institiute for Demographic Research we have in 2018 conducted a large experiment …

new website

Dear all, Nine years ago I started blogging. I have been quiet the last few years when it comes to blogging. Perhaps I will pick this …

Which survey error source is larger: measurement or nonresponse?

As a survey methodologist I get paid to develop survey methods that generaly minimize survey errors, and advise people on how to field …

Mobile-only web survey respondents

My breaks between posts are getting longer and longer. Sorry my dear readers. Today, I am writing about research done over a year ago …

The traditional web survey is dead

Why we should throw out most of what we know on how to visually design web surveys In 2000, web surveys looked like postal surveys …

Recent Publications

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Testing the Effects of Automated Navigation in a General Population Web Survey

This study investigates how an auto-forward design, where respondents navigate through a web survey automatically, affects response …

Study Protocol of the Ten Years Up Project: Mapping the Development of Self-Regulation Strategies in Young Adults Over Time

Self-regulation is an important predictor of many outcomes relating to health and well-being. Research thus far has not systematically …

Sharing Data Collected with Smartphone Sensors: Willingness, Participation, and Nonparticipation Bias

Smartphone sensors allow measurement of phenomena that are difficult or impossible to capture via self-report (e.g., geographical …

Probing in online mixed-device surveys: Is a research messenger layout more effective than a traditional online layout, especially on mobile devices?

This article compares the effectiveness of a research messenger layout to a traditional online layout with regards to probing. …

Assessing and relaxing assumptions in quasi-simplex models


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    Wednesday - 09:00 to 17:00
    Thursday - 09:00 to 17:00
    Friday - 09:00 to 17:00
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