Mixing quantitative with qualitative methods: current practices in designing experiments, gathering data and analysis with mixed methods reporting

Morrison, Ann and Viller, Stephen and Heck, Tamara and Davis, Kate (2017) Mixing quantitative with qualitative methods: current practices in designing experiments, gathering data and analysis with mixed methods reporting. In: 29th Australian Computer-Human Interaction Conference (OzCHI 2017), 28 Nov - 1 Dec 2017, Brisbane, Australia.

Abstract

In this workshop, we set up a discussion on opposing approaches to evaluation methods in order to elicit best practice scenarios. We ask what are the best practice methods being used in the OzCHI community to address the complexities inherent in applying triangulation processes? If you already work with or are considering, researching, or working with both quantitative and qualitative evaluation methods (in academia or industry), join us in this workshop. In particular, we look at adding
quantitative to qualitative methods to build a whole picture of user experience. We see a need to discuss both quantitative and qualitative research because there is often a perceived lack of understanding of the rigor involved in each. The workshop will result in a White Paper on the latest developments in this field, within Australia and comparative with international work. We anticipate sharing submissions and workshop outcomes with the
HCI community.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Other)
Refereed: Yes
Item Status: Live Archive
Additional Information: ACM COPYRIGHT NOTICE. Copyright © 2017 by the Association for Computing Machinery, Inc. Abstract only published in proceedings.
Faculty / Department / School: Current - Digital Life Lab
Date Deposited: 07 Feb 2018 03:04
Last Modified: 23 May 2018 03:49
Uncontrolled Keywords: evaluation methods; mixed methods research
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1145/3152771.3156195
URI: http://eprints.usq.edu.au/id/eprint/33665

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