Peter Lugtig

Associate Professor of Survey Methodology

Utrecht University


Peter Lugtig is an associate professor at the deparment 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

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 …

Retrospective reporting

Back after a long pause. Panel surveys traditionally interview respondents at regular intervals, for example monthly or yearly. This …

Recent Publications

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Active and passive measurement in mobile surveys

In this paper we discuss the implications of using mobile devices for online survey completion. With more and more people accessing …

A checklist for assessing the analysis documentation for public-use complex sample survey data sets

We document our understanding of, and recommendations for, appropriate best practices in documenting the complex sampling …

Automatic Travel Mode Prediction in a National Travel Survey

Goal: Showing the feasibility of automatic travel mode prediction using smartphone location data in a national travel survey. Data …

Where you at? Using GPS location in an electronic Time Use diary study to derive functional locations

Smartphones enable passive collection of sensor data alongside survey participation. Location data add context to people’s reports …

Recruiting young and urban groups into a probability-based online panel by promoting smartphone use

A sizable minority of all web surveys are nowadays completed on smartphones. People who choose a smartphone for Internet-related tasks …