Abstract

The purposes of this study were (a) to develop a model of cognitive task complexity and (b) to test the extent to which four content characteristics in the model represent the complexity of decision-making tasks in the domain of nursing. A model of the defining characteristics of cognitive task complexity constitutes a first step toward understanding the relationship between the task itself and the decision maker's information processing, and offers direction for the teaching of clinical decision making-skills. The Cognitive Task Complexity Model has its roots in Newell and Simon's (1972) Information Processing Theory. The Cognitive Task Complexity Model includes two components, content and context, along with characteristics derived from the literature in a number of disciplines.

Description

This dissertation has also been disseminated through the ProQuest Dissertations and Theses database. Dissertation/thesis number: 9226451; ProQuest document ID: 303979563. The author still retains copyright.

Marsha L. Lewis

Author Details

Marsha L. Lewis, PhD, RN

Sigma Membership

Gamma Kappa

Type

Dissertation

Format Type

Text-based Document

Study Design/Type

Cross-Sectional

Research Approach

Quantitative Research

Keywords:

Nursing Education, Cognition, Complex Situations

Advisor

Carol A. Carrier

Degree

PhD

Degree Grantor

University of Minnesota

Degree Year

1992

Rights Holder

All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.

All permission requests should be directed accordingly and not to the Sigma Repository.

All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.

Review Type

None: Degree-based Submission

Acquisition

Proxy-submission

Date of Issue

2019-03-01

Full Text of Presentation

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