南開科技大學圖書館 |

言語: 日文

ヘルプ

南開科技大學

圖書館首頁

編目中圖書申請

ログイン

ホームページ

スイッチ: ラベル | MARC形式 | 国際標準書誌記述(ISBD)

Predicting reading comprehension thr...

Robnolt, Valerie J.

Predicting reading comprehension through macro and micro analyses of oral story retellings.

レコード種別:	コンピュータ・メディア : 単行資料
タイトル / 著者:	Predicting reading comprehension through macro and micro analyses of oral story retellings./
著者:	Robnolt, Valerie J.
記述:	97 p.
注記:	Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1303.
含まれています:	Dissertation Abstracts International65-04A.
主題:	Education, Reading. -
電子資源:	Download fulltext (下載全文)
国際標準図書番号 (ISBN):	0496786776

Predicting reading comprehension through macro and micro analyses of oral story retellings.
Robnolt, Valerie J.

Predicting reading comprehension through macro and micro analyses of oral story retellings. - 97 p.

Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1303.

Thesis (Ph.D.)--University of Virginia, 2004.

The purpose of this study was to determine which macro and micro-structural variables in oral story retellings predict reading comprehension as measured by Lexile scores yielded by the Scholastic Reading Inventory (SRI) and which of those variables predict group placement in reading achievement. Twenty-three third graders retold two stories they had read in their reading groups in the classroom setting to the researcher who transcribed the retellings word for word and coded them for three macro-structural variables (i.e., Morrow Scale scores, Irwin and Mitchell Retelling Scale scores, and ratio of number of episodes recalled) and five micro-structural variables (i.e., total number of T-units, total number of words, mean length of T-unit, Type Token Ratio, and total number of conjunctions). None of these variables were significantly correlated to the Lexile comprehension scores. Nevertheless, according to linear regression analyses, one macro-structural variable, ratio of episodes recalled in the retelling, predicted Lexile comprehension scores ( t (22) = -2.384, p = .03). One micro-structural variable in the retelling, mean length of T-unit, predicted Lexile comprehension scores (t (22) = 2.225, p = .04). Analysis of variance indicated that ratio of episodes included in the retelling was the only structural variable that predicted reading group placement as defined by reading below, on, or above grade level according to Lexile scores [ F (2, 20) = 4.221, p = .03]. Post-hoc analyses combining below and on grade level readers to contrast with above grade level readers yielded four significant predictors of group placement: Morrow Scale ( X2 = 3.94, p = .05), total number of T-units (X2 = 5.28, p = .02), total number of words (X2 = 7.79, p = .005), and total number of conjunctions (X 2 = 3.71, p = .05). Results question the predictive validity of the Morrow and Irwin and Mitchell scales, as well as most micro-structural variables, when predicting Lexile comprehension scores. Results suggest that number of episodes recalled as compared to the total number of episodes in the story and/or mean length of T-unit included in the retelling may be the most promising structural variables to consider when predicting Lexile comprehension scores.

ISBN: 0496786776Subjects--Topical Terms:

1000005408
Education, Reading.

Predicting reading comprehension through macro and micro analyses of oral story retellings.
LDR:03204nmm 2200265 4500 001 1000004275
005 20051102155241.5
008 141201s2004 eng d
020 $a 0496786776
035 $a (UnM)AAI3131436
035 $a AAI3131436
040 $a UnM $c UnM{me_controlnum}
100 1 $a Robnolt, Valerie J. $3 1000005575
245 1 0 $a Predicting reading comprehension through macro and micro analyses of oral story retellings.
300 $a 97 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-04, Section: A, page: 1303.
500 $a Adviser: Marcia Invernizzi.
502 $a Thesis (Ph.D.)--University of Virginia, 2004.
520 $a The purpose of this study was to determine which macro and micro-structural variables in oral story retellings predict reading comprehension as measured by Lexile scores yielded by the Scholastic Reading Inventory (SRI) and which of those variables predict group placement in reading achievement. Twenty-three third graders retold two stories they had read in their reading groups in the classroom setting to the researcher who transcribed the retellings word for word and coded them for three macro-structural variables (i.e., Morrow Scale scores, Irwin and Mitchell Retelling Scale scores, and ratio of number of episodes recalled) and five micro-structural variables (i.e., total number of T-units, total number of words, mean length of T-unit, Type Token Ratio, and total number of conjunctions). None of these variables were significantly correlated to the Lexile comprehension scores. Nevertheless, according to linear regression analyses, one macro-structural variable, ratio of episodes recalled in the retelling, predicted Lexile comprehension scores ( t (22) = -2.384, p = .03). One micro-structural variable in the retelling, mean length of T-unit, predicted Lexile comprehension scores (t (22) = 2.225, p = .04). Analysis of variance indicated that ratio of episodes included in the retelling was the only structural variable that predicted reading group placement as defined by reading below, on, or above grade level according to Lexile scores [ F (2, 20) = 4.221, p = .03]. Post-hoc analyses combining below and on grade level readers to contrast with above grade level readers yielded four significant predictors of group placement: Morrow Scale ( X2 = 3.94, p = .05), total number of T-units (X2 = 5.28, p = .02), total number of words (X2 = 7.79, p = .005), and total number of conjunctions (X 2 = 3.71, p = .05). Results question the predictive validity of the Morrow and Irwin and Mitchell scales, as well as most micro-structural variables, when predicting Lexile comprehension scores. Results suggest that number of episodes recalled as compared to the total number of episodes in the story and/or mean length of T-unit included in the retelling may be the most promising structural variables to consider when predicting Lexile comprehension scores.
590 $a School code: 0246.
650 4 $a Education, Reading. $3 1000005408
690 $a 0535
710 2 0 $a University of Virginia. $3 170929
773 0 $t Dissertation Abstracts International $g 65-04A.
790 1 0 $a Invernizzi, Marcia, $e advisor
790 $a 0246
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3131436 $z Download fulltext (下載全文)