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:
Genre:
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

MARC

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245 1 0 |a Predicting the Vocabulary of Children from Written or Spoken Texts /  |c Michael Moore and Zahava Goldstein. 
260 |a [Place of publication not identified] :  |b Distributed by ERIC Clearinghouse,  |c 1986. 
300 |a 8 pages 
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590 |a Conservation of this book was made in honor of Colleen Drake and her 19 years of service to the MSU Libraries. 
500 |a ERIC Note: Paper presented at the Annual Meeting of the American Psychological Association (94th, Washington, DC, August 1986).  |5 ericd 
500 |a Educational level discussed: Grade 6. 
500 |a Educational level discussed: Grade 8. 
500 |a Educational level discussed: Junior High Schools. 
520 |a 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 low socioeconomic groups. Hebrew language samples of at least 2,000 words were obtained from each child. In 60 of 70 cases, the fit between empirical data and the theoretical model was acceptable. Several hypotheses relating to the model's construct and concurrent validity and its reliability and objectivity were tested. In addition, a hypothesis about the significantly richer vocabulary of higher socioeconomic status children was confirmed. The model can serve as a viable basis for further extensive inquiry into the vocabulary of different samples. (Author/MSE) 
533 |a Microfiche.  |b [Washington D.C.]:  |c ERIC Clearinghouse  |e microfiches : positive. 
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650 1 7 |a Child Language.  |2 ericd 
650 0 7 |a Foreign Countries.  |2 ericd 
650 0 7 |a Grade 6.  |2 ericd 
650 0 7 |a Grade 8.  |2 ericd 
650 0 7 |a Hebrew.  |2 ericd 
650 0 7 |a Junior High School Students.  |2 ericd 
650 0 7 |a Junior High Schools.  |2 ericd 
650 1 7 |a Mathematical Models.  |2 ericd 
650 1 7 |a Oral Language.  |2 ericd 
650 0 7 |a Preadolescents.  |2 ericd 
650 1 7 |a Predictor Variables.  |2 ericd 
650 0 7 |a Reliability.  |2 ericd 
650 0 7 |a Socioeconomic Status.  |2 ericd 
650 0 7 |a Uncommonly Taught Languages.  |2 ericd 
650 0 7 |a Validity.  |2 ericd 
650 1 7 |a Vocabulary.  |2 ericd 
650 0 7 |a Word Frequency.  |2 ericd 
650 1 7 |a Written Language.  |2 ericd 
653 1 |a Israel 
655 7 |a Reports, Evaluative.  |2 ericd 
655 7 |a Speeches/Meeting Papers.  |2 ericd 
700 1 |a Goldstein, Zahava,  |e author. 
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856 4 0 |t 0  |u http://www.lib.msu.edu/ebookplates/view/?id=649  |y In recognition of retiring staff Colleen Drake for her nineteen years of service to the MSU Libraries.  |t 0