Answering Current Challenges of and Changes in Producing Official Time Use Statistics Using the Data Collection Platform MOTUS

Article Education & Educational Research

Teachers' working time from time-use data: Consequences of the invalidity of survey questions for teachers, researchers, and policy

Petrus te Braak et al.

Summary: How teachers allocate their working time is crucial for teaching quality and teachers' well-being. Comparing estimates from survey questions and time-diaries, commonly used survey methods are argued to be prone to bias. Large differences exist in the accuracy of estimating working time in sub-activities and job characteristics.

TEACHING AND TEACHER EDUCATION (2022)

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Article Social Sciences, Interdisciplinary

Bias in estimated working hours in time diary research: The effect of cyclical work time patterns on postponing designated registration days

Petrus te Braak et al.

Summary: Due to the diversification of working time arrangements, working weeks now differ significantly from each other. In time diary research, it is important for respondents to keep their time diaries on designated registration days to account for week-to-week variability. However, due to the variability, respondents may postpone their participation to convenient registration days, resulting in bias.

TIME & SOCIETY (2022)

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Positioning household surveys for the next decade

Calogero Carletto et al.

Statistical Journal of the IAOS (2022)

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Data science training for official statistics: A new scientific paradigm of information and knowledge development in national statistical systems

Afshin Ashofteh et al.

Statistical Journal of the IAOS (2021)

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Review Green & Sustainable Science & Technology

The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System

Ali Gohar et al.

Summary: Smart cities collect data using various electronic methods and sensors, relying on ICT to improve service quality. The introduction of 5G technology will have a profound impact on applications such as ITS in smart cities.

SUSTAINABILITY (2021)

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Article Social Sciences, Mathematical Methods

Improving Time Use Measurement with Personal Big Data Collection - The Experience of the European Big Data Hackathon 2019

Mattia Zeni et al.

Summary: This article evaluates the experience with i-Log at the 2019 European Big Data Hackathon, which is a system that captures personal big data from smartphones' internal sensors for time use measurement. By training machine-learning algorithms using users' answers, new time diary answers can be generated to fill gaps and assess the quality of existing data.

JOURNAL OF OFFICIAL STATISTICS (2021)

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Article Communication

WILLINGNESS TO PARTICIPATE IN PASSIVE MOBILE DATA COLLECTION

Florian Keusch et al.

PUBLIC OPINION QUARTERLY (2019)

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Article Social Sciences, Mathematical Methods

Data Organisation and Process Design Based on Functional Modularity for a Standard Production Process

David Salgado et al.

JOURNAL OF OFFICIAL STATISTICS (2018)

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Answering Current Challenges of and Changes in Producing Official Time Use Statistics Using the Data Collection Platform MOTUS

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