This course is the second in a two-part scale development course series on scale development. Part one of the series focused on the general theories and methods used in the scale development process. This second portion focuses on the analytic methods used to statistically test, refine, and validate scale data. These methods include Cronbach’s alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and basic structural equation models testing for predictive validity.

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This interactive online workshop will focus on semi-structured interviewing, a data collection method used in qualitative research. Topics covered will include basics of semi-structured interviews, development of interview questions and probes, interviewing skills, and considerations for conducting virtual interviews. Participants will have the opportunity to practice developing interview questions and using interviewing skills.

This event may be recorded. Materials such as slides or handouts will be shared with documented attendees only.

Presenters:
MaryBeth Grewe, MPH
Program Manager, Qualitative Research Service
Research Specialist, Patient and Community Engagement in Research (PaCER) Program

Simone Frank, MPH
Senior Project Manager, Patient and Community Engagement in Research (PaCER) Program
Research Specialist, Qualitative Research Service

For questions about this training, please contact MaryBeth Grewe at This email address is being protected from spambots. You need JavaScript enabled to view it..

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