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Eric Ed471226%3a A Comparison Of The Relative Practical Value Of A Predictive Discriminant Function Analysis And A Binary Logistic Regression Analysis Of Student Success In An Innovative Alternative High School Program In South Texas%3a Data Set %231. Working Paper. by Eric
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1ERIC ED471226: A Comparison Of The Relative Practical Value Of A Predictive Discriminant Function Analysis And A Binary Logistic Regression Analysis Of Student Success In An Innovative Alternative High School Program In South Texas: Data Set #1. Working Paper.
By ERIC
This study compared two statistical approaches, predictive discriminant function analysis and binary logistic regression analysis, to determine the characteristics of at-risk students who succeeded in comparison with those who did not succeed in a project-based alternative high school program. The study also investigated true positive hit rates for predicting correctly the students that would be successful using each statistical approach to provide information for decision making in admissions decisions for this program. Data came from the Wisconsin Youth Survey from measures of bonding with teachers, school, and peers and from a measure of educational engagement completed by 70 students. Other variables measured were family composition, student employment, grade, gender, and age. The predictive discriminant analysis approach produced a true positive hit rate of 79% compared to the remarkable 94% of the binary logistic approach. Advantages of the binary logistic approach are discussed. (SLD)
“ERIC ED471226: A Comparison Of The Relative Practical Value Of A Predictive Discriminant Function Analysis And A Binary Logistic Regression Analysis Of Student Success In An Innovative Alternative High School Program In South Texas: Data Set #1. Working Paper.” Metadata:
- Title: ➤ ERIC ED471226: A Comparison Of The Relative Practical Value Of A Predictive Discriminant Function Analysis And A Binary Logistic Regression Analysis Of Student Success In An Innovative Alternative High School Program In South Texas: Data Set #1. Working Paper.
- Author: ERIC
- Language: English
“ERIC ED471226: A Comparison Of The Relative Practical Value Of A Predictive Discriminant Function Analysis And A Binary Logistic Regression Analysis Of Student Success In An Innovative Alternative High School Program In South Texas: Data Set #1. Working Paper.” Subjects and Themes:
- Subjects: ➤ ERIC Archive - High Risk Students - High School Students - High Schools - Prediction - Regression (Statistics) - Student Characteristics - Kester, Donald L. - Linton, Thomas H. - Sullivan, Lynn R.
Edition Identifiers:
- Internet Archive ID: ERIC_ED471226
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The book is available for download in "texts" format, the size of the file-s is: 13.11 Mbs, the file-s for this book were downloaded 81 times, the file-s went public at Fri Jan 15 2016.
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1Boy Crusoe
By Allan Eric

Also published as" A Yankee Crusoe" . A 15 year old hard working and studious farm boy finds the lure of adventure on the seas as a merchant seaman more than he can resist. This is his story. " I was born in a little town in the State of Maine, near the close of the Civil War. My boyhood life did not differ materially from that of the average farmer's son in the remote country districts of New England--except, perhaps, that I read more and thought more. Hard work on the rugged soil, two terms each year in the little yellow country schoolhouse, a day's fishing now and then filled the early years of my life full to over-flowing. " What he gets is enough excitement and adventure to overflow his wildest dreams. How he experiences disaster and uses his wits and knowledge to overcome every problem makes for a great read. - Summary by Phil Chenevert
“Boy Crusoe” Metadata:
- Title: Boy Crusoe
- Author: Allan Eric
- Language: English
- Publish Date: 1910
Edition Specifications:
- Format: Audio
- Number of Sections: 23
- Total Time: 03:45:08
Edition Identifiers:
- libriVox ID: 8827
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- File Name: aboycrusoe_1408_librivox
- File Format: zip
- Total Time: 03:45:08
- Download Link: Download link
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