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Are Attributes Entities? A Study of Database Designers' Memory Structures

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  • Ron Weber

    (The University of Queensland, Department of Commerce, Queensland 4072, Australia)

Abstract

A longstanding debate in the data modeling literature pertains to whether the grammars used to generate conceptual schemas should sustain a distinction between entities and attributes. The grammars used to generate entity-relationship diagrams and object-oriented conceptual models, for example, provide separate constructs for representing entities and attributes. The grammars used to generate binary data models, however, provide only a single construct for representing both entities and attributes.To sharpen the focus of the debate, a multi-trial free-recall experiment was conducted with database designers who had been trained primarily in a binary conceptual schema design methodology. In the experiment, the designers were first shown conceptual schema diagrams based on a binary model. The designers were then asked to recall the diagrams. Throughout their training as designers, they had been admonished to eschew any distinction between entities and attributes. Moreover, the diagrams they were shown in the experiment did not make a distinction between entities and attributes. Their recall protocols seemed to show, however, that they were considering some elements of the diagrams to be entities and others to be attributes. Their memory structures appear to reflect, therefore, that they perceive entities and attributes to be two distinct constructs.

Suggested Citation

  • Ron Weber, 1996. "Are Attributes Entities? A Study of Database Designers' Memory Structures," Information Systems Research, INFORMS, vol. 7(2), pages 137-162, June.
  • Handle: RePEc:inm:orisre:v:7:y:1996:i:2:p:137-162
    DOI: 10.1287/isre.7.2.137
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    Citations

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    Cited by:

    1. François Bodart & Arvind Patel & Marc Sim & Ron Weber, 2001. "Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests," Information Systems Research, INFORMS, vol. 12(4), pages 384-405, December.
    2. Dunn, Cheryl L. & Gerard, Gregory J. & Grabski, Severin V., 2017. "The combined effects of user schemas and degree of cognitive fit on data retrieval performance," International Journal of Accounting Information Systems, Elsevier, vol. 26(C), pages 46-67.
    3. Roman Lukyanenko & Jeffrey Parsons & Yolanda F. Wiersma, 2014. "The IQ of the Crowd: Understanding and Improving Information Quality in Structured User-Generated Content," Information Systems Research, INFORMS, vol. 25(4), pages 669-689, December.
    4. Vijay Khatri & Iris Vessey & V. Ramesh & Paul Clay & Sung-Jin Park, 2006. "Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge," Information Systems Research, INFORMS, vol. 17(1), pages 81-99, March.
    5. Yair Wand & Ron Weber, 2002. "Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda," Information Systems Research, INFORMS, vol. 13(4), pages 363-376, December.

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