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Dealing with Missing Data Effectively and Ethically: The Application of Multiple Imputation

Dealing with Missing Data Effectively and Ethically: The Application of Multiple Imputation In-Person

A common challenge in research is the amount of incomplete and missing data that occurs from respondents failing to complete tasks or questionnaires, as well as from disengaging from the study (i.e. attrition).  This session will provide practical guidelines for researchers to follow when examining their data for “missingness”, making decisions about how to handle that “missingness”, and reporting the extent of missing data biases and specific multiple imputation procedures in publications.

Date:
Wednesday, November 20, 2024
Time:
10:00am - 11:00am
Time Zone:
Pacific Time - US & Canada (change)
Location:
Digital Scholarship Commons A308
Audience:
  Faculty     Graduate students     Undergraduate students  

Registration is required. There are 47 seats available.

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