Recommendations for Conducting Longitudinal Experience Sampling Studies

Niels van Berkel; Vassilis Kostakos

doi:10.1007/978-3-030-67322-2_4

Recommendations for Conducting Longitudinal Experience Sampling Studies

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

Abstract

The Experience Sampling Method is used to collect participant self-reports over extended observation periods. These self-reports offer a rich insight into the individual lives of study participants by intermittently asking participants a set of questions. However, the longitudinal and repetitive nature of this sampling approach introduces a variety of concerns regarding the data contributed by participants. A decrease in participant interest and motivation may negatively affect study adherence, as well as potentially affecting the reliability of participant data. In this chapter, we reflect on a number of studies that aim to understand better participant performance with Experience Sampling. We discuss the main issues relating to participant data for longitudinal studies and provide hands-on recommendations for researchers to remedy these concerns in their own studies.

Original language	English
Title of host publication	Advances in Longitudinal HCI Research
Editors	Evangelos Karapanos, Jens Gerken, Jesper Kjeldskov, Mikael B. Skov
Publisher	Springer
Publication date	2021
Pages	59-78
ISBN (Print)	978-3-030-67321-5, 978-3-030-67324-6
ISBN (Electronic)	978-3-030-67322-2
DOIs	https://doi.org/10.1007/978-3-030-67322-2_4
Publication status	Published - 2021

Series	Human–Computer Interaction Series

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10.1007/978-3-030-67322-2_4

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1 Anthology

Advances in Longitudinal HCI Research
Karapanos, E. (Editor), Gerken, J. (Editor), Kjeldskov, J. (Editor) & Skov, M. B. (Editor), 2021, Springer. 242 p. (Human–Computer Interaction Series).
Research output: Book/Report › Anthology › Research › peer-review

Cite this

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title = "Recommendations for Conducting Longitudinal Experience Sampling Studies",

abstract = "The Experience Sampling Method is used to collect participant self-reports over extended observation periods. These self-reports offer a rich insight into the individual lives of study participants by intermittently asking participants a set of questions. However, the longitudinal and repetitive nature of this sampling approach introduces a variety of concerns regarding the data contributed by participants. A decrease in participant interest and motivation may negatively affect study adherence, as well as potentially affecting the reliability of participant data. In this chapter, we reflect on a number of studies that aim to understand better participant performance with Experience Sampling. We discuss the main issues relating to participant data for longitudinal studies and provide hands-on recommendations for researchers to remedy these concerns in their own studies.",

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Recommendations for Conducting Longitudinal Experience Sampling Studies. / van Berkel, Niels; Kostakos, Vassilis.
Advances in Longitudinal HCI Research. ed. / Evangelos Karapanos; Jens Gerken; Jesper Kjeldskov; Mikael B. Skov. Springer, 2021. p. 59-78 (Human–Computer Interaction Series).

Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review

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Recommendations for Conducting Longitudinal Experience Sampling Studies

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Research output

Advances in Longitudinal HCI Research

Cite this