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Using Binary Logistic Regression to Analyze the Predictive Validity of Undergraduate GPA and Standardized Test Scores in Forecasting Master?s Student Degree Completion
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Copyright Title

Using Binary Logistic Regression to Analyze the Predictive Validity of Undergraduate GPA and Standardized Test Scores in Forecasting Master?s Student Degree Completion

Status

Published

on 9 Sept 2021
Year of Creation
2021
Copyright Claimant
James Russell Stefanelli
Registration Number
TX0009012021
on 9 Sept 2021

Copyright Summary


The U.S. Copyright record (Registration Number: TX0009012021) dated 9 Sept 2021, pertains to an electronic file (eService) titled "Using Binary Logistic Regression to Analyze the Predictive Validity of Undergraduate GPA and Standardized Test Scores in Forecasting Master?s Student Degree Completion" created in 2021. The copyright holder is James Russell Stefanelli, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to James Russell Stefanelli.

Copyright Details


Copyright Claimant
James Russell Stefanelli

Application Details


Registration Number
TX0009012021
Registration Date
9/9/2021
Year of Creation
2021
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
Preexisting Material
See Copyright Office notes

Personal Authors


Notes


Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com
Local Copyright Note: Regarding material excluded: Statement on deposited work indicates some text previously published

Statements


Application Title Statement: Using Binary Logistic Regression to Analyze the Predictive Validity of Undergraduate GPA and Standardized Test Scores in Forecasting Master?s Student Degree Completion
Author Statement: James R. Stefanelli Citizenship: not known Authorship: text
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