Designing and Conducting
Psychological Research
with Diverse Samples
Diversity of research samples is imperative for appropriately understanding psychosocial phenomena. This workshop is designed to provide a comprehensive discussion about strategies to diversify samples collected for social, behavioral, and medical sciences. The course will focus on discussing best practices for assessment measures, strategies for increasing sample diversity, and in-depth discussion of considerations when collecting data from diverse and underrepresented samples.
Instructor:
Craig Rodriguez-Seijas, PhD (University of Michigan)
Workshop Dates and Times:
Thursday, August 1th, 2024, 9:30am to 3:30pm ET
Friday, August 2th, 2024, 9:30am to 2:00pm ET
Workshop Format:
Two-Day Synchronous Online Workshop
Psychological, and other related scientific disciplines, are built upon data that is overwhelmingly representative of dominant populations. Diverse and minoritized populations are typically considered afterthoughts in data collection efforts. With many scientists’ increasing interest in being able to collect representative populations and additional focus being paid to diversifying research samples (e.g., increasing scrutiny of samples from journals and reviewers), being able to appropriately represent the wealth of diversity within our samples is imperative. However, increasing sample diversity might not always be straightforward to all researchers and can be influenced by multiple factors.
This 2-day course is designed to provide the basics of appropriate theory and strategies researchers can employ when designing studies to maximize the diversity of their research samples. Topics covered will include: Intersectionality theory to inform research planning, Considerations for measure selection and questionnaire design, Psychometric considerations, Recruitment strategies for diversifying samples, Common challenges, and troubleshooting. Time will also be set aside to troubleshoot specific research projects participants are planning, thus allowing participants to consider strategies that will be appropriate for them prior to data collection efforts begin.
What you’ll learn
Theoretical Considerations – Understand how sociocultural context might impact variables of interest and how to build this into the research design and protocol. Appreciate how science as usual excludes appropriate sample diversity to the field’s detriment.
Survey Design – Learn the types of questions to ask and what you can ask. Expand your understanding of considerations that can inform question and measure selection and design.
Recruitment & Participant Engagement – Learn strategies that can benefit diversification of samples from leveraging pre-existing resources for data collection to tips from experiences with designing and collecting data from diverse samples.
Personalized Feedback – Access personalized feedback from the instructor for participants’ specific research projects and to troubleshoot individual concerns about how to increase diversity of research samples.
Syllabus
Day 1 – Conceptual Foundations
Why attend to sample diversity?
Philosophy of psychological sciences – Relevance for diversity
Intersectionality Theory Fundamentals
Measurement Considerations: Demographic Identities
Moving Beyond Demography
Day 2 – Practical Application
Best Practices for Collecting Demographic Information
Recruitment of Diverse Populations
Retention of Participants
Utility of Measurement Invariance
Individualized Feedback & Project Planning
Registration Options
Designing and Conducting Psychological Research with Diverse Samples
- Professional
- $599
- Baseline Price for Faculty,
Staff, and Other Professionals - Click Register Below
- Trainee
- $599 $399
- 33% Discount for
Students and Postdocs - Use code "TRAINEE" at Checkout
- LMIC
- $599 $59
- 90% Discount for Learners in
Low and Middle Income Countries - Apply for the code
FAQs
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This workshop is specially designed for researchers in the behavioral and health sciences who are interested in learning strategies to help them design studies to maximize sample diversity.
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Beginner
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No specific prior knowledge is necessary. Basic research design experience is recommended.
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Participants will be provided with a curated reading list and article pdfs.