Subscribe to DSC Newsletter

Intensive Longitudinal Methods Fall 2016

Event Details

Intensive Longitudinal Methods Fall 2016

Time: November 11, 2016 to November 12, 2016
Location: Philadelphia
Street: 1515 Market Street
City/Town: Philadelphia
Website or Map: http://statisticalhorizons.co…
Phone: 610-642-1941
Event Type: seminar
Organized By: Statistical Horizons LLC
Latest Activity: Aug 26, 2016

Export to Outlook or iCal (.ics)

Event Description

Intensive longitudinal methods, often called experience sampling, daily diary, or ecological momentary assessment methods, allow researchers to study people’s thoughts, emotions, and behaviors in their natural contexts. Typically, they involve self-reports from individuals, dyads, families or other small groups over the course of hours, days, and weeks. Such data 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.

The goal of this workshop is to provide a full-cycle treatment of two fundamental research questions that can be addressed using intensive longitudinal methods: (a) What is the time course of the outcome variable, and (b) what is the within-person causal process that underlies the time course? A full-cycle treatment will take workshop participants through five stages of answering each research question: (1) Design study & collect data, (2) Visualize, (3) Analyze, (4) Write up results, and (5) Power the next study.

 

Graph Pic

 

 

 

 

 

 

Material for this workshop will be drawn from introductory sections of the presenters’ 2013 Guilford Press book, Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research. 

Comment Wall

Comment

RSVP for Intensive Longitudinal Methods Fall 2016 to add comments!

Join Data Science Central

Attending (1)

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service