LICAC AIE, a Common-sense Approach to Qualitative Methodology
Oslo and Akershus University College of Applied Sciences, St. Olavs plass, NO-0130 Oslo, Norway
- *Corresponding Author:
- Magid Al-Araki
Oslo and Akershus University
College of Applied Sciences, Norway
Tel: (+47) 22 45 35 63
E-mail: [email protected]
Received Date: March 01, 2016; Accepted Date: April 05, 2016; Published Date: April 11, 2016
Citation:Al-Araki M (2016) LICAC AIE, a Common-sense Approach to Qualitative Methodology. J Stock Forex Trad 5:170. doi:10.4172/2170-9458.1000170
Copyright: © 2016 Al-Araki M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This article explores a classical method called LICAC AIE. It has been used in teaching, in student research as well as in problem solving within the public sector. It is composed of two acronyms. The analytical core, LICAC, stands for Localisation, Identification, Comparison, Analysis and Conformity with reality. The operational core, AIE, stands for Acceptance, Implementation and Evaluation. The method is conceived in 1983 and draws upon longitudinal research on Ibn KhaldÅ«n. It is lately configured and computerized in a battery of questions that suit brainstorming and gives opportunities to explore methodological and didactical ideas. When using LICAC AIE, the researcher is supposed to start with the object of analysis, localize it, identify it, analyse it and compare it. This differentiation between methodological concepts draws upon the experiences and theories of the researcher. Further reflexive support comes from helping devices as the SWOT-methodology and the PEAK-methodology that consolidate cognitive association. The success of the methodological process depends on feeling of empowerment. Conclusions reached should further be developed in contact with reality. The objective of this article, the comparative view and the research questions proposed are on how to operationalize LICAC AIE, in particular the analytical core LICAC.