Hybrid Summer School
Intensive Longitudinal Methods & Dyadic Data Analysis
July 31st - August 9th, 2023
Designing and Analyzing Data from Ecological Momentary Assessment, Experience Sampling, Ambulatory Assessment, and Diary Studies in Individuals and Dyads.
You are here:
About the Summer School
This year’s Summer School expands over 3 preliminary webinars and 8 days of lectures and exercises in July/August. The summer school will be offered in a hybrid format.
We offer a 3-Day Summer School: Introduction to Intensive Longitudinal Methods (Part 1, July 31st – August 2nd), an 8-Day Summer School: Introduction to Intensive Longitudinal Methods & Dyadic Data Analysis (Part 1 & 2, July 31st - August 9th) and a 5-Day Summer School: Dyadic Data Analysis (Part 2, August 3rd - August 9th) as options for participating:
3-Day Summer School: Introduction to Intensive Longitudinal Methods (Part 1): Consists of three days (July 31st - August 2nd) of live teaching and three preliminary webinars. This workshop is ideal for those who are beginning to work with longitudinal data.
8-Day Summer School: Introduction to Intensive Longitudinal Methods & Dyadic Data Analysis (Part 1 & 2): Consists of eight days (July 31st - August 2nd; August 3rd - 9th of August; break within the weekend from 5th to 6th) of live teaching and three preliminary webinars. The summer school is suitable for researchers who already have some experience with longitudinal data. Ideally you have data which you would like to analyze, but we will also provide practice data sets.
5-Day Summer School: Dyadic Data Analysis (Part 2): Consists of five days (August 3rd - 9th of August; break within the weekend from 5th to 6th) of live teaching. The summer school is suitable for researchers who already are expierenced with analysis of Intensive Longitudinal Methods.
The course will include lectures, software demonstrations, computer lab work and consultations. In the data analysis examples, you can use various software packages that you are familiar with, including SPSS, SAS, R, and Mplus.
Part 1: Intensive Longitudinal Methods (ILM) (July 31st – August 2nd, 2023)
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
Part 2: Dyadic Data Analysis (DDA) (August 3rd – August 9th, 2023)
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
- Explaining dyadic covariation: The Actor-Partner Interdependence Model
- Brief Mplus tutorial
- Dyadic Score Model
- Visualizing dyadic 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.
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.
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.
We have limited places on this Summer School. Please complete the sign-up form to register your interest in attending and email it to gender(at)charite.de.
You can download the sign-up form here: Link sign-up form.
A list of countries eligible for reduced registration fees you can find here: Link eligible countries for reduced fees. Applicants need to proof their residence if applying for reduced fees.
Please note the last day for booking this course will be July 15th, 2023. Please email gender(at)charite.de after that date to find out if there are still places available.
A proof of student status will be required, if applicable, e.g., student certificate with University stamp or ID card with expiry date. Student rate does not apply to Researchers, Academic Staff, and Private, Public and Charitable Sector Employees.
- After successful registration, a space is reserved for you in the course
- You will receive an invoice via E-Mail and Mail
- Please transfer the full amount within 30 days to the indicated bank account
- Only after a successful payment a space is guaranteed
Delegates may cancel their booking by email to gender(at)charite.de. However, the first 150€ of any booking fee is non-refundable. Cancellations after July 15th, 2023 are non-refundable.