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A cross-cultural study of sex differ...

Liu, Hui-Ju Carol.

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A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States./
作者:	Liu, Hui-Ju Carol.
面頁冊數:	352 p.
附註:	Source: Dissertation Abstracts International, Volume: 59-04, Section: A, page: 1068.
Contained By:	Dissertation Abstracts International59-04A.
標題:	Educational psychology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9830282
ISBN:	9780591830859

A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States.
Liu, Hui-Ju Carol.

A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States. - 352 p.

Source: Dissertation Abstracts International, Volume: 59-04, Section: A, page: 1068.

Thesis (Ph.D.)--University of Minnesota, 1998.

Considerable research has been done in the area of sex differences in mathematics ability and in the area of reasoning about probability and statistics. However, sex differences in statistical reasoning have rarely been the subject of a major research effort. The present study focuses on the question of whether there are sex differences in statistical reasoning. Subjects include 245 college students from Cheng-Chi University and Feng-Chia University in Taiwan, and 267 college students from the University of Iowa. The Statistical Reasoning Assessment (SRA), a 20 item multiple-choice test, was the instrument used in the study. While the original version of the test was administered to students at the University of Iowa, a Chinese version of the instrument was administered to the examinees in Taiwan.

ISBN: 9780591830859Subjects--Topical Terms:

517650
Educational psychology.

A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States.
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245 1 2 $a A cross-cultural study of sex differences in statistical reasoning for college students in Taiwan and the United States.
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500 $a Source: Dissertation Abstracts International, Volume: 59-04, Section: A, page: 1068.
500 $a Major Advisers: Ernest C. Davenport; Joan B. Garfield.
502 $a Thesis (Ph.D.)--University of Minnesota, 1998.
520 $a Considerable research has been done in the area of sex differences in mathematics ability and in the area of reasoning about probability and statistics. However, sex differences in statistical reasoning have rarely been the subject of a major research effort. The present study focuses on the question of whether there are sex differences in statistical reasoning. Subjects include 245 college students from Cheng-Chi University and Feng-Chia University in Taiwan, and 267 college students from the University of Iowa. The Statistical Reasoning Assessment (SRA), a 20 item multiple-choice test, was the instrument used in the study. While the original version of the test was administered to students at the University of Iowa, a Chinese version of the instrument was administered to the examinees in Taiwan.
520 $a Various statistical methods were used to ascertain: (1) whether there are mean differences between males and females, (2) whether there is equality between the correlation matrices for males and females, and (3) whether there is qualitative similarity between the factor structures for males and females. All the analyses are based on both the correct reasoning scores and the misconception scores obtained from the SRA instrument. Results support the general research findings that when sex differences appear, they are in the direction favoring males, particularly in higher level cognitive tasks such as mathematical reasoning and problem solving. Results also show that sex differences may be greater for students who have higher intellectually ability. Analysis of the factor structures suggest that males have a greater number of factors than females. While there is insufficient evidence to conclude the equality of the factor structure between the sexes, analysis of the correlation matrices suggest that there are no sex differences. It should be noted that low intercorrelations of the test items may contribute to both the small discrepancies between the correlation matrices to be compared, and the difficulties to factor analyze the data.
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