Predicting the Vocabulary of Children from Written or Spoken Texts / Michael Moore and Zahava Goldstein.

A study investigated the use of a mathematical model to predict individuals' total active Hebrew vocabulary from samples of their written and spoken language. The model is based on a generalized inverse Gaussian distribution. The subjects were Israeli junior high school students from both high and l...

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Bibliographic Details
Main Authors:	Moore, Michael, Goldstein, Zahava (Author)
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 1986.
Subjects:	Child Language. Foreign Countries. Grade 6. Grade 8. Hebrew. Junior High School Students. Junior High Schools. Mathematical Models. Oral Language. Preadolescents. Predictor Variables. Reliability. Socioeconomic Status. Uncommonly Taught Languages. Validity. Vocabulary. Word Frequency. Written Language. Israel Reports, Evaluative. Speeches/Meeting Papers.
Genre:	Reports, Evaluative. Speeches/Meeting Papers.
Local Note:	Conservation of this book was made in honor of Colleen Drake and her 19 years of service to the MSU Libraries.
Physical Description:	8 pages
Format:	Microfilm Book

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Call Number:	ED283374 Microfiche
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