Summer Course: Intensive Longitudinal Methods - Introduction and Data Analysis Camp
Instructors: Dr. Gertraud Stadler, Dr. Daniel Powell, Prof. Niall Bolger*
Date: 23rd-27th July 2018
*Prof. Niall Bolger will join from 25th-27th July.
Location: University of Aberdeen, Scotland, UK
A 5-day course covering the design and analysis of intensive longitudinal studies.
Aim of the Course
In recent decades, researchers have become increasingly interested in understanding people's thoughts, emotions, and behaviors in their natural settings. The commonality in methods for doing so—experience sampling, daily diary, active and passive sensors, and ecological momentary assessment methods—is that they all involve intensive longitudinal assessments. These intensive longitudinal methods allow researchers to examine processes in daily life in a way that is not possible using traditional methods. Researchers can obtain repeated observations over the course of hours, days, and weeks, and often even longer. Intensive longitudinal data, however, present multiple design and data analytic challenges stemming from the various possible sources of interdependence inthese data. The multilevel or hierarchical linear model provides a flexible set of analytic tools that can take account of these complexities. But in order to run these analyses, the study design must be appropriate and missing data kept at a minimum.
• History and introduction to intensive longitudinal methods
• Designing an intensive longitudinal study
• Power/sample size analysis
• Analyzing the time course of intensive longitudinal data
• Analyzing within-person processes
• Categorical intensive longitudinal outcomes
• Psychometrics of intensive longitudinal data
• An introduction to mediation in intensive longitudinal data
The course will include lectures, software demonstrations, and computer lab work.
In the data analysis examples, you can use various software packages that you
are familiar with, including SPSS, SAS, R, and Mplus.
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-ofthe- art study design and data analysis.
Do I need to take the whole course?
The 5-day course is designed to cover both the design (Day 1-2) and data analysis (Day 3-5) part of intensive longitudinal studies. It is possible to attend only one part of the course. As a certain baseline level of knowledge will be assumed for those who only participate in the data analysis part of the course, please contact us to confirm eligibility.
Pre-requisites and Preparing for attendance
We assume little prior knowledge beyond linear regression models. To get the most out of the workshop, 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 http://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.
We have limited places on this workshop. If you would like to attend, please email the booking form to firstname.lastname@example.org. If you have any other enquiries, please email them to email@example.com.
Please complete the sign-up form to register your interest in attending and emailing it to firstname.lastname@example.org
How do I Book?
You may book for ILM 2018 by completing the sign-up form, and emailing it to email@example.com. A link will be sent to you for payments.
Please note the last day for booking this course will be the 30th June 2018.
Please email firstname.lastname@example.org after that date to find out if there are still places available.
Monday 23rd – Friday 27th July, 2018
The MacRobert Building MR028, University of Aberdeen
Registration opens at 8:30am on Monday morning, with teaching starting at 0900 and continuing until 1400 on Friday afternoon with a subsequent sightseeing tour. We will have a workshop dinner on Tuesday evening starting at 06:30pm. Attendees are encouraged to make their travel arrangements to ensure they can attend the whole course.
- Full price (5 days): £950 - includes all course materials.
- Early bird (5 days): £800 - if booked by 16th April 2018.
- Intro & Design workshop (2 days)
- Full price: £500
- Early Bird: £400
- Analysis workshop (3 days)
- Full price: £700
- Early Bird: £600
- Early Bird
- Full course: £600
- Intro & Design: £350
- Analysis: £500
- Full price
- Full course: £750
- Intro & Design: £425
- Analysis: £575
Please note that proof of student status will be required, 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.
- Payment must be made in full for a reservation to be accepted
- Payment can only be accepted by Credit or Debit Card, via the link that will be emailed to you
- Regarding accommodation, a discounted rate has been agreed with the University of Aberdeen Accmmodation department.
Participants who require a visa to travel to the United Kingdom are strongly advised to register on the course and apply for a visa at the earliest opportunity. Specifically, you are encouraged to start the process sufficiently early so that you know whether your visa application has been successful prior to the “early bird” deadline, since later cancellations are non-refundable. If required we are able to provide a letter to accompany your application, confirming your registration on the course and that accommodation is provided. We are, however, not able to provide information on the necessity for visas, or type of visas required, since these will vary with individual circumstances.
Delegates may cancel their booking by email to email@example.com. However, the first £150 of any booking fee is non-refundable. Cancellations after 16th April 2018 are non-refundable.