東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE./
作者:	EISENBERG, MICHAEL BRUCE.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1986,
面頁冊數:	324 p.
附註:	Source: Dissertations Abstracts International, Volume: 47-07, Section: A.
Contained By:	Dissertations Abstracts International47-07A.
標題:	Information Systems. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8701260
ISBN:	9798206187540

MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE.
EISENBERG, MICHAEL BRUCE.

MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE. - Ann Arbor : ProQuest Dissertations & Theses, 1986 - 324 p.

Source: Dissertations Abstracts International, Volume: 47-07, Section: A.

Thesis (Ph.D.)--Syracuse University, 1986.

This item must not be sold to any third party vendors.

A study was designed to investigate the use of the scaling technique of magnitude estimation for the measurement of relevance judgments. Relevance is fundamental to the information process and to the purpose, design, and use of information systems. The relevance judgment is a focal point in system evaluation and research. The method of magnitude estimation, an open-ended scaling technique, was developed in the field of psychophysics for the direct measurement of human response to various sensory stimuli. Magnitude estimation has been successfully applied to a wide range of situations requiring human judgments, often resulting in the development of new viewpoints and understandings. Questions were raised regarding (1) the use of scaling procedures, (2) the distribution of scaled responses, (3) biases in scaling, and (4) whether relevance could be viewed within a stimulus-response framework. Four experiments were designed to test magnitude estimation under different conditions and in comparison to a standard 7-point category rating procedure. The major results indicate that magnitude judgments can be used for the measurement of relevance. Furthermore, relevance judgments seem to behave as do other quantitative continua. When category rating judgments are plotted against magnitude estimation judgments of relevance, a predictable, concave downward pattern is observed.

ISBN: 9798206187540Subjects--Topical Terms:

769307
Information Systems.

MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE.
LDR:02411nmm a2200301 4500 001 2347721
005 20220812071100.5
008 241004s1986 ||||||||||||||||| ||eng d
020 $a 9798206187540
035 $a (MiAaPQ)AAI8701260
035 $a AAI8701260
040 $a MiAaPQ $c MiAaPQ
100 1 $a EISENBERG, MICHAEL BRUCE. $3 3687014
245 1 0 $a MAGNITUDE ESTIMATION AND THE MEASUREMENT OF RELEVANCE.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1986
300 $a 324 p.
500 $a Source: Dissertations Abstracts International, Volume: 47-07, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
502 $a Thesis (Ph.D.)--Syracuse University, 1986.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a A study was designed to investigate the use of the scaling technique of magnitude estimation for the measurement of relevance judgments. Relevance is fundamental to the information process and to the purpose, design, and use of information systems. The relevance judgment is a focal point in system evaluation and research. The method of magnitude estimation, an open-ended scaling technique, was developed in the field of psychophysics for the direct measurement of human response to various sensory stimuli. Magnitude estimation has been successfully applied to a wide range of situations requiring human judgments, often resulting in the development of new viewpoints and understandings. Questions were raised regarding (1) the use of scaling procedures, (2) the distribution of scaled responses, (3) biases in scaling, and (4) whether relevance could be viewed within a stimulus-response framework. Four experiments were designed to test magnitude estimation under different conditions and in comparison to a standard 7-point category rating procedure. The major results indicate that magnitude judgments can be used for the measurement of relevance. Furthermore, relevance judgments seem to behave as do other quantitative continua. When category rating judgments are plotted against magnitude estimation judgments of relevance, a predictable, concave downward pattern is observed.
590 $a School code: 0659.
650 4 $a Information Systems. $3 769307
690 $a 0723
710 2 $a Syracuse University. $3 1017440
773 0 $t Dissertations Abstracts International $g 47-07A.
790 $a 0659
791 $a Ph.D.
792 $a 1986
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=8701260