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BEARdata Dataverse (Baylor University)
Baylor Electronically Accessible Research Data
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Plain Text - 6.8 KB - MD5: 6d2454837de5d815702019b352723eeb
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Plain Text - 2.9 MB - MD5: dccc55fbb34468fb8d7a62a960e2e4de
This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation experiment investigating model selection in latent class analysis with categorical indicators.
text/html - 723.3 KB - MD5: 98cfba1c16a955c818e8cfe9259e2757
README
Plain Text - 24.3 MB - MD5: 43912becc2d4cd24ef16c971508491e5
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compiled README file
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Documentation
Jul 25, 2018 - Education Citations
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Documentation
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