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Predicting basic reading skills via ...

O'Donovan, Michael Samuel.

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Predicting basic reading skills via an aptitude cluster versus global IQ.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Predicting basic reading skills via an aptitude cluster versus global IQ./
作者:	O'Donovan, Michael Samuel.
面頁冊數:	64 p.
附註:	Adviser: Dawn Flanagan.
Contained By:	Dissertation Abstracts International67-08B.
標題:	Education, Reading. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3229028
ISBN:	9780542828195

Predicting basic reading skills via an aptitude cluster versus global IQ.
O'Donovan, Michael Samuel.

Predicting basic reading skills via an aptitude cluster versus global IQ. - 64 p.

Adviser: Dawn Flanagan.

Thesis (Psy.D.)--St. John's University (New York), 2006.

The present study was conducted to determine if a theoretically (i.e., Cattell-Horn-Carroll [CHC]) tailored Reading Aptitude Cluster (RAC) would better predict reading skills than global IQ. Participants in the study consisted of 63 first and second graders who were administered measures of Basic Reading Skill (BRS), measures of cognitive abilities, and a measure of global IQ. Data were analyzed via Hierarchical Multiple Regression Analyses. Initial results suggested that the RAC did not explain significant variance in BRS over and above that explained by global IQ. Limitations associated with this analysis were explained and possible reasons for the lack of predictive power of the RAC were offered. A posteriori analyses based on a reconceptualized regression model provided some support for using the RAC in cognitive assessments in lieu of global IQ for predicting reading achievement. Overall, the results demonstrated that Crystallized-Knowledge (Gc) is the single best predictor of reading outcomes. Implications for these results are discussed.

ISBN: 9780542828195Subjects--Topical Terms:

1017790
Education, Reading.

Predicting basic reading skills via an aptitude cluster versus global IQ.
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520 $a The present study was conducted to determine if a theoretically (i.e., Cattell-Horn-Carroll [CHC]) tailored Reading Aptitude Cluster (RAC) would better predict reading skills than global IQ. Participants in the study consisted of 63 first and second graders who were administered measures of Basic Reading Skill (BRS), measures of cognitive abilities, and a measure of global IQ. Data were analyzed via Hierarchical Multiple Regression Analyses. Initial results suggested that the RAC did not explain significant variance in BRS over and above that explained by global IQ. Limitations associated with this analysis were explained and possible reasons for the lack of predictive power of the RAC were offered. A posteriori analyses based on a reconceptualized regression model provided some support for using the RAC in cognitive assessments in lieu of global IQ for predicting reading achievement. Overall, the results demonstrated that Crystallized-Knowledge (Gc) is the single best predictor of reading outcomes. Implications for these results are discussed.
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