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Member Training: (Just About) Everything You Need To Know Before Starting a Survey

by guest contributer Leave a Comment

This webinar, presented by Yasamin Miller, will cover broadly survey design and planning.

It will outline the advantages and disadvantages of the various data collection modes, types of samples available to target your population, how to obtain a representative sample, and how to avoid the pitfalls of bad questionnaire design.


Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

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About the Instructor

YasaminMiller460Yasamin is the managing director of Yasamin Miller Group, which offers data analytics and survey services. She has 20 years of experience directing a successful academic survey center and is currently a Senior Research Affiliate with the Survey Center at the University of New Hampshire.

She is also a founding member and former president of the Association of Academic Survey Research Organizations. Before that, she was at Stanford University, where she designed systems to collect large-scale data and conducted data analysis using complex statistical modeling.

This extensive practical experience in data collection and analysis has given her the foundation to work with clients to offer the best solutions to meet their goals. And just as importantly, she has a vast network of experts who offer a wide range of services at affordable prices.

Not a Member Yet?

It’s never too early to set yourself up for successful analysis with support and training from expert statisticians. Just head over and sign up for Statistically Speaking. You'll get access to this training webinar, 100+ other stats trainings, a pathway to work through the trainings that you need — plus the expert guidance you need to build statistical skill with live Q&A sessions and an ask-a-mentor forum.

Tagged With: data collection, design, population, questionnaire, representative sample, samples, survey, survey planning, target

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