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essential-guide-to-qualitative-in-organizational-research

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––––––––––––––––––––––––––––––––––––––––––––––––––––––– COGNITIVE MAPPING–––––––––– 79organizations (McDonald, 2003). These could be fed back <strong>in</strong><strong>to</strong> the <strong>in</strong>terview process <strong>to</strong><strong>in</strong>form the next iteration of the <strong>research</strong>.Benefits of cognitive mapp<strong>in</strong>g for <strong>qualitative</strong> <strong>research</strong>This method has been designed because mov<strong>in</strong>g between raw data and the development of thethemes and categories that form the basis of the <strong>qualitative</strong> theory build<strong>in</strong>g process can beextremely difficult. The method suggested here is aimed at cross<strong>in</strong>g the divide between data andtheory <strong>in</strong> a way that can be easily grasped and used by <strong>research</strong>ers with vary<strong>in</strong>g experience.The analysis process is similar <strong>to</strong> many of the familiar ‘categorization’ techniques used <strong>in</strong>social science. It has one important advantage over ‘cut and paste’ techniques <strong>in</strong> that itsimultaneously allows the preservation of all the detail of the map as a context for any concept,and the ability <strong>to</strong> ‘collapse’ the map <strong>to</strong> show only the high level ‘rout<strong>in</strong>gs’ through the map.Thus the <strong>research</strong>er can easily switch back and forth between what is effectively arepresentation of a conversation and the surfac<strong>in</strong>g theoretical structure. This is not only anenormous help <strong>in</strong> the sensemak<strong>in</strong>g process, but also prevents the mean<strong>in</strong>g of concepts drift<strong>in</strong>gas they are forever tied <strong>in</strong><strong>to</strong> their orig<strong>in</strong>al context.As well as be<strong>in</strong>g able simultaneously <strong>to</strong> represent conflict<strong>in</strong>g viewpo<strong>in</strong>ts, the otherparticular strength of this technique is that it represents issues and statements that are<strong>in</strong>terl<strong>in</strong>ked, <strong>in</strong>terrelated, <strong>in</strong>terdependent and even tangled. In contrast, the attempt <strong>to</strong>construct l<strong>in</strong>ear text forces the <strong>research</strong>er <strong>to</strong> choose an organiz<strong>in</strong>g framework <strong>in</strong> advance ofwrit<strong>in</strong>g. This may be time (<strong>in</strong> the case of an <strong>in</strong>terview transcript), or reason<strong>in</strong>g, or theme, forexample. Sometimes simply not hav<strong>in</strong>g <strong>to</strong> choose a start<strong>in</strong>g po<strong>in</strong>t and be<strong>in</strong>g able <strong>to</strong> ‘start <strong>in</strong>the middle’ can make beg<strong>in</strong>n<strong>in</strong>g the writ<strong>in</strong>g process more accessible. Liberation from more‘traditional’ forms of predeterm<strong>in</strong>ed order also means that mapp<strong>in</strong>g has the advantage ofrecord<strong>in</strong>g nuance and complexity very quickly compared with prose.USING COGNITIVE MAPPING TO ELICIT MENTAL MODELS OF EMOTION AT WORK ––––––––––––––––In this second example, we describe a method used <strong>to</strong> explore mental models of emotionalexperience at work. Here, semi-structured methods based upon pr<strong>in</strong>ciples of cognitiverepresentation are used <strong>to</strong> elicit representations of participants’ mental models. Aga<strong>in</strong> this wasdone by mak<strong>in</strong>g use of maps which show causal reason<strong>in</strong>g (see Figure 7.1), but this time wechose <strong>to</strong> develop a visual card sort technique (Daniels et al., 1995) with the explicit <strong>in</strong>tentionof elicit<strong>in</strong>g mental models. The visual card sort is a technique that enables rapid, open-endedelicitation of mental models.Develop<strong>in</strong>g the <strong>in</strong>terview scheduleThe current <strong>research</strong> utilized a semi-structured <strong>in</strong>terview, with theoretically derived prompts<strong>to</strong> maximize elicitation of concepts thought <strong>to</strong> be important <strong>to</strong> the current <strong>research</strong>. Theseprompts were developed from a review of the relevant literatures <strong>in</strong>tended <strong>to</strong> capture the ma<strong>in</strong>features and processes by which emotions develop at work (Harris et al., 2002). S<strong>in</strong>ce wesought <strong>to</strong> exam<strong>in</strong>e differences <strong>in</strong> mental models of different emotional experiences at work,the <strong>in</strong>terview schedule gave the participant enough discretion <strong>to</strong> explore their beliefs <strong>in</strong> an

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