Experience Sampling Methods and Implementation
In person in Calgary July 18-19, 2025, as part of Rocky Mountain Methodology Academy
$950 (Canadian dollars) + 5% GST
This course can be taken individually or bundled at a discount as part of our longitudinal toolkit during Rocky Mountain Methodology Academy. The longitudinal toolkit bundle includes Experience Sampling Methods and Implementation, Introduction to Multilevel Modeling, and Longitudinal Data Analysis and Visualization.
Experience sampling methods are a powerful approach that allows researchers to examine how psychological phenomena unfold in daily life in various contexts. This course introduces experience sampling methods and provides a broad overview of issues that need to be considered when using these methods, such as types of design, signal frequency, sample size and power, survey questions, compensation, recruitment strategies, running the study, data handling, making the most of experience sampling studies, and available platforms. This course also covers the fundamentals of analyzing experience sampling data. This course provides practical advice regarding how to design, implement, and analyze experience sampling studies.
INSTRUCTOR: Dr. Sabrina Thai, PhD
In this course, you will learn how to design, conduct, and analyze data for an experience sampling study. Topics covered include
- Overview of experience sampling methods
- Design decisions and considerations including topics such as timescale, type of design, and sample size
- Experience sampling platforms
- Recruitment strategies
- Data handling and analysis
- Reporting guidelines
This course meets in person in Calgary July 18-19, 2025, from 9am to 5pm each day.
The course will focus on practical advice for designing and conducting an experience-sampling study, and analyzing experience-sampling data. For data analysis, we will focus on multilevel modelling, which can be applied using a variety of software. Because this is a hands-on course, learners are encouraged to bring a laptop to class with a copy of R installed. However, instruction will focus on demonstrating the statistical techniques and interpreting the most common outputs in various software programs. Most of the provided materials and examples will involve R code, but time will also be devoted to discussing how the same analyses can be implemented in other software, such as SPSS.
This course will be helpful for researchers in any field who want to learn how to capture individuals’ experiences in daily life as part of their research programs. Learners will ideally have a potential study they would like to run in mind and be comfortable with multiple linear regression analysis and repeated-measures analyses, though this topic will be briefly reviewed at the beginning of the workshop. Participants will also ideally have some familiarity with running analyses using some type of statistical software (e.g., R, SPSS) although proficiency with a specific data analysis program is not required.
Upon completing this course, you will be able to
- select the appropriate experience sampling design for specific research questions
- design an experience sampling study
- create an experience sampling questionnaire
- develop an experience sampling study protocol
- implement strategies to increase participant compliance
- develop a participant recruitment strategy
- wrangle and analyze experience sampling data
A certificate of completion from the Canadian Centre for Research Analysis and Methods is provided at the end of the course.