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The effects of data models and conce...

Wu, Bruce Jiinpo.

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The effects of data models and conceptual models of the structured query language on the task of query writing by end users.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The effects of data models and conceptual models of the structured query language on the task of query writing by end users./
Author:	Wu, Bruce Jiinpo.
Description:	192 p.
Notes:	Source: Dissertation Abstracts International, Volume: 52-08, Section: A, page: 2989.
Contained By:	Dissertation Abstracts International52-08A.
Subject:	Business Administration, Management. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9201555

The effects of data models and conceptual models of the structured query language on the task of query writing by end users.
Wu, Bruce Jiinpo.

The effects of data models and conceptual models of the structured query language on the task of query writing by end users. - 192 p.

Source: Dissertation Abstracts International, Volume: 52-08, Section: A, page: 2989.

Thesis (Ph.D.)--University of North Texas, 1991.

This research is an empirical investigation of human factors on the use of database systems. The problem motivating the study is the difficulty encountered by end-users in retrieving data from a database. The independent variables are the users' mental model of the system, and the data model. The dependent variable is the user's query writing performance, as measured by the number of syntax and semantic errors, as well as the amount of time required to complete a query task.Subjects--Topical Terms:

626628
Business Administration, Management.

The effects of data models and conceptual models of the structured query language on the task of query writing by end users.
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035 $a (UMI)AAI9201555
035 $a AAI9201555
040 $a UMI $c UMI
100 1 $a Wu, Bruce Jiinpo. $3 1685286
245 1 4 $a The effects of data models and conceptual models of the structured query language on the task of query writing by end users.
300 $a 192 p.
500 $a Source: Dissertation Abstracts International, Volume: 52-08, Section: A, page: 2989.
500 $a Major Professor: John Windsor.
502 $a Thesis (Ph.D.)--University of North Texas, 1991.
520 $a This research is an empirical investigation of human factors on the use of database systems. The problem motivating the study is the difficulty encountered by end-users in retrieving data from a database. The independent variables are the users' mental model of the system, and the data model. The dependent variable is the user's query writing performance, as measured by the number of syntax and semantic errors, as well as the amount of time required to complete a query task.
520 $a A laboratory experiment approach was employed. The experiment was structured as a three-by-three factorial design. One factor was the type of the data model. Data models were used to present database contents to end-users. The second factor was the type of the conceptual model of the structured query language. The conceptual models with different descriptions of the structured query language were used to build users' mental model of the query language system. Students were used as surrogates of business computer end-users. Test cases were developed and administered to students. Student query writing performance was coded and analyzed.
520 $a The results of statistical analysis on the collected data exhibited several critical findings. The number of semantic errors committed when writing database queries was affected by the utilization of conceptual models. The diagram model as a conceptual model of the structured query language was superior to other conceptual models. The semantic errors committed in near-transfer high-complexity tasks were affected by data models. The syntax errors committed either in all query tasks or in each task category were neither affected by the use of different data models, nor influenced by the use of different conceptual models. The time required to complete query tasks was not affected by either data models or conceptual models. No interaction effects were found between the two manipulated variables.
590 $a School code: 0158.
650 4 $a Business Administration, Management. $3 626628
650 4 $a Education, Business. $3 1017515
650 4 $a Computer Science. $3 626642
690 $a 0454
690 $a 0688
690 $a 0984
710 2 $a University of North Texas. $3 1017396
773 0 $t Dissertation Abstracts International $g 52-08A.
790 1 0 $a Windsor, John, $e advisor
790 $a 0158
791 $a Ph.D.
792 $a 1991
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9201555