This primer will introduce intensive longitudinal data: data collected very closely in time (every few minutes, hours, or once a day) for a long period of time (days, weeks, or years). Content covered will start from discussions of the types of relevant research questions (starting from my own experience in psychology and parenting research, but also brainstorming amongst participants based on their own domains). From there, I will cover specific information about data collection, including what types of variables and data can be collected (e.g., questionnaire items, open boxes, but also more complex cases: phone usage, geographic location, sound snippets, etc.), data collection platforms, deciding on timing and frequency of prompts, etc. Lastly, I will discuss examples of analyses (e.g., multilevel models, autoregressive models, visualizing these as temporal network analyses), along with considerations (sample size and number of timepoints), major limitations, and models currently under development. This primer will mainly take the form of a lecture (with slides shared with the participants): the aim will be to cover a broad swathe of information rapidly, so that participants are at least familiar with most concepts and can afterwards access the information and references in the slides (including tutorial papers and websites) to go further when desired. That said, there will also be space for participant discussion and reflection throughout the primer session, particularly to brainstorm and identify research questions and data types relevant to their specific domain and field of research.
Blanchard, A. (2024). Measuring Fluctuations and Changes Over Time: Collecting and Analyzing Intensive Longitudinal Data [Primer]. MethodsNET Conference 2024, Louvain-la-Neuve, Belgium. https://hdl.handle.net/2078.5/234325