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Hi everybody, and welcome to our week 5 discussion of data quality! In this episode, we've really only got two major concepts to understand: reliability (aka consistency) and validity (aka accuracy). Of course, there are different ways to figure out our reliability (test-retest, interrater reliability, etc.) and validity (content, criterion, and construct) and we can certainly use SPSS to assist us with this... calculations like Cronbach's alpha are not something we should do by hand! What's most critical for this topic: get the general gist of these terms, understand how we can test or evaluate each quality measure, and then use the last few slides to 'test' your knowledge of validity measures!
Hi everybody, and welcome to our week 5 discussion of data quality! In this episode, we've really only got two major concepts to understand: reliability (aka consistency) and validity (aka accuracy). Of course, there are different ways to figure out our reliability (test-retest, interrater reliability, etc.) and validity (content, criterion, and construct) and we can certainly use SPSS to assist us with this... calculations like Cronbach's alpha are not something we should do by hand! What's most critical for this topic: get the general gist of these terms, understand how we can test or evaluate each quality measure, and then use the last few slides to 'test' your knowledge of validity measures!