Analyzing Intensive Longitudinal Data

Replay Access: Expires 1 year after purchase
Original Livestream: June 13-17, 2022
Instructors: JP Laurenceau & Niall Bolger

Student: $795
Professional: $995

Category: Asynchronous, Workshops

Analyzing Intensive Longitudinal Data is a five-day workshop devoted to the analysis and interpretation of data from studies involving many repeated measurements on individual and dyads. These studies include experience sampling, daily diary, ecological momentary assessment and ambulatory psychophysiological studies. They allow researchers to understand people's thoughts, emotions, behaviors, and physiology in their natural contexts. Typically, they involve data collected over the course of hours, days, and weeks that can reveal life as it is actually lived and provide insights that are not possible using conventional experimental or survey research methods. Intensive longitudinal data, however, present data analytic challenges stemming from the multiple levels of analysis and temporal dependencies in the data. Extensions of multilevel or mixed-effects models for longitudinal data (e.g., multiple outcomes, lagged dependent variables as predictors, residual autocorrelation) can take account of these complexities, and the goal of the workshop is to provide training in their use.

Drawn from the presenters' 2013 Guilford Press book, Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research (www.intensivelongitudinal.com), course topics will include: (a) introduction and overview of intensive longitudinal methods and designs; (b) analyzing the time course of continuous outcomes; (c) analyzing within-person causal processes for continuous outcomes; (d) modeling dyadic intensive longitudinal data; (e) modeling the time course and causal processes for categorical outcomes; (f) psychometrics of intensive longitudinal data; (g) within-person statistical mediation; and (h) power analyses for intensive longitudinal designs. The workshop will consist of lectures and software demonstrations with example datasets. Software demonstrations will be conducted using Mplus, SPSS, and R.

Instructor

Jean-Philippe Laurenceau, Ph.D.

Jean-Philippe Laurenceau, is the Unidel A. Gilchrist Sparks III Chair in the Social Sciences and Professor of Psychological & Brain Sciences at the University of Delaware where he teaches doctoral courses on regression analysis, multilevel modeling, structural equation modeling, and applied longitudinal data analysis. Read More

Niall Bolger, Ph.D.

Niall Bolger is Professor of Psychology and former Chairperson of the Department of Psychology at Columbia University where he teaches a graduate statistics sequence on linear and mixed models as tools for psychological research. He also teaches classes on research methods and psychophysiological methods and analysis. Read More

Workshop Details

Reviews

Although this will be the first time Bolger and Laurenceau will be teaching this workshop at CenterStat, here is a sample of reviews from their recent prior offerings of Analyzing Intensive Longitudinal Data through alternative venues:­­­­­

Very knowledgeable. Highly motivated and up-to-date. Very relevant readings and examples. Instructors were really sympathetic and accessible. …Very relevant for my research. Thank you so much!

Very clearly explained complex statistical concepts. Engaging presenters. Thank you!

Lots of relevant learning material…we used concrete examples. We saw a lot of different scenarios of data and analyses. The instructors appeared genuinely interested in teaching the participants. Both were really nice!! I genuinely appreciated the workshop.

This was an excellent workshop. J-P and Niall’s ability to fit all this info in one week is impressive. J-P is a kind, knowledgeable, and enthusiastic instructor. It feels like he is supportive of us as learners. I loved the time spent on interpretation. I liked that the course is very applied but J-P and Niall offered history and the deeper math behind these concepts.

Very enthusiastic and able to make complex materials clear. One of the best [workshops] I have ever attended (and I have been to many)!

This was an excellent workshop and I learned a lot. I wish all of my methods classes had been taught this well. Thank you, thank you for providing detailed APIM syntax for Mplus & explaining new functions of Mplus!!! It was incredibly helpful. Thank you for a great class!

I walked out of this workshop with code in hand that I can use on my own data today. Even better--I understand it enough to write up my results. I have been to countless workshops that leave me confused or with nothing of practical value--this is not one of those workshops!

Cutting edge course on 'long' panel data. I have an econometrics background so this course allows to see how to handle intensive longitudinal data with a completely different approach using multilevel models. Great worked-out software scripts to save time in rerunning similar models.

J-P & Niall explained everything so thoroughly that you were always able to follow, no matter your statistical expertise. They are actually a great combo: J-P is very to the point, Niall likes to give lots of background info.

Great harmony between the two instructors—great humor and articulation. Course effectively structured…opportunity to use both SPSS and Mplus.

I liked the provision of examples in both SPSS and Mplus, as well as example and syntax for visualizing the data and assessing power. I really enjoyed the full cycle approach—it is so uncommon to cover the full process from beginning to write-up.

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