Hybrid Summer School

The first part of the Summer School addresses methods to understand people's thoughts, emotions, and behaviors in their natural settings. These methods are known under a number of labels — experience sampling, daily diary, active and passive sensors, and ecological momentary assessment methods — and have in common that they all involve intensive longitudinal assessments. Intensive longitudinal methods allow researchers to examine processes in daily life beyond more traditional methods.

Researchers can obtain repeated observations over the course of minutes, hours, days, and weeks, and often even longer. Intensive longitudinal data, however, present multiple challenges for design and data analysis including the various possible sources of interdependence in the data. The study design must fit to the research questions and guard against missing data. Multilevel linear models provide a flexible set of analytic tools for these complexities.

Overview of topics covered in Part 1: Intensive Longitudinal Methods

• History and introduction to intensive longitudinal methods
• Designing an intensive longitudinal study
• Analyzing the time course of intensive longitudinal data
• Analyzing intensive longitudinal interventions
• Analyzing within-person processes
• Categorical intensive longitudinal outcomes
• Psychometrics of intensive longitudinal data

The second part introduces cross-sectional and longitudinal dyadic data analysis. Close dyadic relationships, e.g. for romantic partners, parent-child dyads, dating relationships, are often the most important contexts for human beings. Research investigating everyday human experience is increasingly examining these powerful influences on daily behavior, thoughts, and feelings. However, dyadic data present analytic challenges because they have various sources of interdependence (e.g. non-independence between members of the dyad such as a parent and a child). Flexible analytic tools can accommodate these complexities. Participants of the course will gain a better understanding of dyadic data analysis in both cross-sectional and longitudinal contexts.

Overview of topics covered in Part 2: Dyadic Data Analysis 

Introduction to dyadic designs, dyadic data, and Interdependence

Cross-sectional data

• Explaining dyadic covariation: The Actor-Partner Interdependence Model
• Brief Mplus tutorial
• Dyadic Score Model
• Visualizing dyadic data

Longitudinal data

• Two-wave dyadic data
• Dyadic growth curve modeling
• Multilevel dyadic process modeling
• Visualization & dyadic process model
• Power analysis for dyadic process model

For whom is this course?

For graduate students, postdocs and other researchers who have done intensive longitudinal studies or are planning them and want to learn more about state-of-the-art study design and data analysis.

Pre-requisites and preparing for attendance

Depending on which option for participating you choose we assume different amounts of knowledge. For the 3-day workshop, we assume little prior knowledge beyond linear regression. For the 8-Day Summer School we assume that you already have some knowledge in working with longitudinal data.

To get the most out of the courses, we recommend to bring your own laptop with SPSS or SAS or R and the Mplus demo version (here is a link to the Mplus demo version to download for free: www.statmodel.com/demo.shtml) installed prior to the workshop. If you have already collected your own data please feel free to bring them and use them for analyses in the exercise sessions. We will also provide practice data sets. Reading Chapter 1 to 5 and 9 of Bolger and Laurenceau (2013) is also great if you want to prepare more.

Hybrid Format

The Summer School is planned in a hybrid format. Please note, only a limited number of places for in-person attendance are available. Travel and accommodation must be organized by the participants themselves. The venue will be in Berlin. Further information on the exact location will be provided soon.

Course language
English

Timetable

11:00 – 12:30 Exercise and Q&A (in person)
12:30 – 14:00 Lunch Break
14:00 – 18:00 Lectures (hybrid)
18:15 – 19:15 Exercise and Q&A (virtual)

There will be an informal get together on July 30th from 4-5.30 pm for those attending online and a welcome drinks reception for those attending in person on July 30th from 6-9 pm in Berlin. 

All times given are Berlin time.