Data Collection and Dealing with Missing Data

Collection of links to educational videos on the PLS-SEM method and the application of the SmartPLS software.
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DrAyoub
PLS Senior User
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Joined: Tue Feb 23, 2021 8:25 pm
Real name and title: DR ABDUL AYOUB
Location: Halifax, Canada
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Data Collection and Dealing with Missing Data

Post by DrAyoub »

Vid#3 introduces students and researchers to data collection methods. It may provide effective routes to data collection. Also, the video discusses the vitality of addressing missing data before importing into SmartPLS for analysis.
Missing data using the EM (expectation maximization method) may be the most used method.

#dealingwithmissingdata, #missingdata, #plsdata, #emmethod, #EMmissingdata, #expectationmethod, #datacollection

Youtube video link: https://www.youtube.com/watch?v=6WqKDJfnWIQ&t=8s

Dr. Ayoub

Useful References:
https://www.ncbi.nlm.nih.gov/pmc/arti...
Allison PD. Missing data. Thousand Oaks, CA: Sage Publications, Inc.; 2001. [Google Scholar]
Allison PD. Missing data techniques for structural equation modeling. J Abnorm Psychol. 2003;112(4):545–557. doi: 10.1037/0021-843X.112.4.545. [PubMed] [CrossRef] [Google Scholar]
Dempster AP, Laird NM, Rubin DB. Maximum Likelihood from Incomplete Data via the EM Algorithm. J R Stat Soc Series. 1977;39(1):1–38. [Google Scholar]
Peugh JL, Enders CK. Missing data in educational research: A review of reporting practices and suggestions for improvement. Review of educational research. 2004;74(4):525–556. doi: 10.3102/00346543074004525. [CrossRef] [Google Scholar]
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