Project
Developing adaptive sampling schemes for improving the design of intensive longitudinal studies.

To understand how daily life processes fluctuate, and how these processes differ between persons, intensive longitudinal (IL) designs in which multiple participants are repeatedly measured, have become popular. Examples of these designs include the Experience Sampling Method or Ecological Momentary Assessment (Myin-Germeys & Kuppens, 2022). The popularity of IL research has, however, also exposed the multitude of decisions that have to be made concerning study design. A crucial choice when designing a study is to determine the number of persons and the number of measurement occasions to include. Recent research has proposed advances in methods to select the sample size in IL studies (Lafit et al., 2021). However, multiple challenges remained unaddressed, such as selecting the optimal assessment frequency to better capture the dynamics of a psychological process in daily life. This project aims to develop quantitative methods for adaptive sampling designs (e.g., Cai et al., 2022; Vastenburg & Herrera, 2010) and examine power analysis strategies for IL studies.

Supervisors
Prof. dr. G. Lafit
Prof. dr. W. Van Den Noortgate

1 September 2023 – 1 September 2029