FREE SURVEY RESEARCH METHODS WEBINARS IN FALL 2014

The Survey Research Laboratory (SRL) is offering four introductory webinars on survey research methodology in fall 2014. The series is free to University faculty, staff, and students. Participation is free; advance registration is required.

Registration is by Web only here. Notes for individual webinars will be available from the SRL website just prior to each seminar to those who register in advance. A basic understanding of survey research methods is recommended.

Click here to download webinar notes:
http://www.srl.uic.edu/SEMINARS/semnotes.htm

 

Introduction to Survey Sampling
Wednesday, October 8, noon

Karen Retzer

This webinar will cover the basics of sampling methodology: the importance of using proper sampling techniques, determining the appropriate sampling methodology, and calculating necessary sample sizes. The discussion also will include simple random sampling, cluster sampling, stratified sampling, and multistage samples.

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Introduction to Web Surveys
Wednesday, October 15, noon

Timothy Johnson

This webinar will provide a brief overview of current Web-based survey data collection systems and review the major sources of survey error associated with Web surveys and current approaches to addressing these problems.

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Introduction to Questionnaire Design
Wednesday, October 22, noon

Allyson Holbrook

Designing a good questionnaire is a complicated process that includes decisions ranging from questionnaire format and question order to question wording and response categories. The design should aid respondent understanding of questions, recall, and judgment formation, and minimize response editing because of social desirability. This webinar will review basic strategies for achieving these goals.

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Introduction to Survey Data Analysis: Addressing Survey Design and Data Quality
Wednesday, October 29, noon

Linda Owens

The basics of analyzing survey data, including techniques for data screening, the handling of missing data, sample weighting, and adjustment for complex survey designs will be addressed in this webinar.

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