• Analysing driving test data - methodology

    Pages: 7

    A paper which looks at ways in which quantitative data relating to comparative success rates of driving school instructors and test centres can be analysed, with some recommendations as to how qualitative data might be used to supplement this.

    File: JL5_JLtest.rtf

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    "Analysing driving test data - methodology" , U.K., January 2013  There are a number of factors which need to be taken into account before devising a research study of this type, not least  are the ultimate objectives of the study and the options available for collecting and analysing data. For example, one needs to consider the kind of data which is available and  how it is to be collected, as well as the use to which the results will eventually be put. It is also useful to assess whether or not the data  can be used for more than one purpose: in this instance, the primary outcome of data analysis will be to forecast which of the driving instructors are likely to have  the highest pass and fail rates in the future, but there are other applications in which the data could be useful, with regard to the relationship between driving schools, test  centres and learner drivers. In addition, having information regarding the comparative  competence of different instructors is also helpful in downsizing exercises and other matters relating to company structure and HR. However, the quantitative data which has already been collected may not  be sufficient to give a full picture of the situation as regards the capabilities of the different instructors. For example, it may be that on the basis of the data  provided instructor A has a far higher rate of fails over the period sampled that instructor B: on the face of it, this implies that A is more likely to 

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