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Summary Q: Why can a data repository enhance CALL generalizability? A: It provides data, which can be re-analyzed using novel statistical or theoretical approaches (NIH; Smith, 2008) and brings together a large amount of data (Boslaugh, 2007; NIH).
Data Repository Examples UC Irvine Machine Learning Repository National Center for Ecological Analysis and Synthesis (NCEAS) Data Repository Geological Society of America (GSA) Data Repository Open Language Archives Community (OLAC) Child Language Data Exchange System TalkBank NIH supports the concept of data sharing, expects the timely release and sharing of data of grant receivers, and has provided guidelines on this issue.
Page 1 and 2: A Review of the Use of Learner- Beh
Page 3 and 4: Objective of the Study To suggest t
Page 5 and 6: This Presentation • I will first
Page 7 and 8: The Review • Reviewed about 20 re
Page 9 and 10: Research Qs Answered Using Tracking
Page 11 and 12: Why Identifying These Qs? - Previou
Page 13 and 14: Behavioral Data Collected by Tracki
Page 15 and 16: Variables Considered in Research St
Page 17 and 18: The Data Fields Required for the Re
Page 19 and 20: Suggestions to Increase the General
Page 21 and 22: What is Secondary Data? • Data co
Page 23 and 24: Values of Secondary Data • Explor
Page 25 and 26: How Widely Are Secondary Data Analy
Page 27 and 28: An Example of Using Data from Repos
Page 29 and 30: Re-Analyzing Existing Data Using Ne
Page 31 and 32: What Need to be Done to the Existin
Page 33 and 34: Summary Q: Why reviewing CALL resea
Page 35: Process Flow of Using and Contribut
Page 39 and 40: Conclusions • Although research a
Page 41: Contact Information: Thank you… A

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