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Analyzing (intensive) longitudinal data
October 9, 2019 @ 9:30 am - October 10, 2019 @ 4:00 pm
The Digital Communication Methods Lab, part of the RPA Communication, invites you to a workshop on “Analyzing (intensive) longitudinal data” on October 9 and October 10 (REC C 10.20) with Gloria Grommisch (Methods Center, U of Koblenz-Landau, Germany).
Longitudinal designs demand specific statistical methods in order to model them correctly and to use their power in studying changes, stability and situational influences. In communication, especially at ASCoR more and more researchers are using designs that yield “intensive longitudinal data” like experience sampling method, ecological momentary assessment, or ambulatory assessment. These data, again, come with certain characteristics that demand a special statistical treatment.
The workshop will consist of several input-sessions and hands-on-sessions, where it is possible to analyze existing datasets or own data and exchange ideas, experiences, pitfalls when analyzing these data together with an expert and colleagues.
The workshop has a modular structure, this means it is not necessary to attend all the modules, but you can pick some of the sessions.
9:30 – 10:00 Introduction and basics of measuring change
10:00 – 12:00 Multilevel modelling for longitudinal data (including lagged predictors, information on how to write a methods section)
13:00 – 15:00 Multilevel growth models and power analysis
9:30 – 12:00 Input on more specific models (including specific information on intensive longitudinal data modelling)
13:00 – 16.00 Working on (own) data with the expert and colleagues: Specific models, questions, information on reporting and visualizing data if necessary and wanted
So this could be a good point to analyze your longitudinal data for your ICA paper.
In order to take part in the “hands-on-sessions” basic knowledge of R is necessary. If you aim to analyze your own data during the workshop, the data files should be ready to use.
As the workshop should be really tailored to the needs of the participants, it is possible to flag some questions, needs and expectations beforehand.
Please register by sending a mail to K.H.Hair@uva.nl.
Please indicate in the mail whether you would like to participate in the whole workshop or only attend certain parts/modules. If you have any suggestions, questions, specific models or needs for the workshop, please also indicate this in the mail so that we can discuss it in the workshop.