Literature DB >> 10917148

A framework for epistemological analysis in empirical (laboratory and field) studies.

Y Xiao1, K J Vicente.   

Abstract

In their search for generalizable behavioral patterns and design principles, cognitive field researchers should reflect on the epistemological limitations of empirical studies. In this paper we describe a framework for epistemological analysis that can help serve this purpose and discuss its application to two prototypical cases of cognitive engineering research: laboratory experiments and field studies. The framework examines two, often implicit, processes in empirical research: the abstraction from empirical data and the substantiation of theoretical constructs and principles. By explicitly considering these two processes in several systematic steps, we can gain appreciation for the epistemological contribution of empirical studies to cognitive engineering research. The framework and its application also provide guidance to such important issues as generalizability of results and external validity. Possible applications of this research include providing guidance to researchers and practitioners in evaluating design principles or conducting field studies.

Mesh:

Year:  2000        PMID: 10917148     DOI: 10.1518/001872000779656642

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  8 in total

1.  Standardisation and Its Discontents.

Authors:  Robert L Wears
Journal:  Cogn Technol Work       Date:  2015-02       Impact factor: 2.372

2.  Understanding barriers and facilitators to the use of Clinical Information Systems for intensive care units and Anesthesia Record Keeping: A rapid ethnography.

Authors:  Jason J Saleem; William R Plew; Ross C Speir; Jennifer Herout; Nancy R Wilck; Dale Marie Ryan; Theresa A Cullen; Jean M Scott; Murielle S Beene; Toni Phillips
Journal:  Int J Med Inform       Date:  2015-03-24       Impact factor: 4.046

3.  Examining the relationship between clinical decision support and performance measurement.

Authors:  David A Haggstrom; Jason J Saleem; Laura G Militello; Nicole Arbuckle; Mindy Flanagan; Bradley N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

4.  The next-generation electronic health record: perspectives of key leaders from the US Department of Veterans Affairs.

Authors:  Jason J Saleem; Mindy E Flanagan; Nancy R Wilck; Jim Demetriades; Bradley N Doebbeling
Journal:  J Am Med Inform Assoc       Date:  2013-04-18       Impact factor: 4.497

5.  Exploring barriers and facilitators to the use of computerized clinical reminders.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Marta L Render; Greg Orshansky; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

6.  OpenMRS, a global medical records system collaborative: factors influencing successful implementation.

Authors:  Nareesa A Mohammed-Rajput; Dawn C Smith; Burke Mamlin; Paul Biondich; Brad N Doebbeling
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

7.  Exploring how caregivers for people living with dementia use strategies to overcome work system constraints.

Authors:  Dustin T Weiler; Aloysius J Lingg; David M Wilkins; Laura Militello; Nicole E Werner
Journal:  Appl Ergon       Date:  2022-01-19       Impact factor: 3.661

8.  Veterans' response to an automated text messaging protocol during the COVID-19 pandemic.

Authors:  Jason J Saleem; Jacob M Read; Boyd M Loehr; Kathleen L Frisbee; Nancy R Wilck; John J Murphy; Brian M Vetter; Jennifer Herout
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

  8 in total

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