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discover if expenditure on soft skills training actually produces significant rewards for a company.

　　Sources and Acquisition of Data
For the first objective, it will be necessary to contact a great many companies that have invested in soft skills training programs, and attempt to determine the perceived improvement in the soft skills of their employees. Unfortunately, it will be necessary to do a large portion of this by survey, and these results may well be skewed by managerial regard for soft skills versus more traditional hard skills. It will also be necessary to attempt to determine any bias across industries.
　　The impact on customers will again have to be measured fairly indirectly, using market data, such as that found on the Euromonitor or Factiva databases to determine the importance customers place on the soft skills of company employees, and the potential for soft skills to create repeat customers. Surveys could also be used, however they may produce even more skewed results, as many customers are unsure of their personal cues to buy and make repeat purchases.

　　Finally, the third objective will require surveying companies to determine their expenditure on soft skill training, both in time and capital, together with the success of these training schemes. Information on the increase in profits can be obtained from company's annual reports, but care must be taken to ensure that other factors, such as new product development, are accounted for.

　　Methods of Data analysis
Multiple regression analysis will tend to be the best method for analyzing the data, once potential bias has been identified and removed. Several models will need to be tried, as the relationship may not be simple, and the model that is found to be most accurate would have implications for the analysis of the third objective, as there will potentially be an optimal level of soft skill training, above which the rewards will not match any further increase in expenditure.
　　Multiple regression will often be the most apt form of analysis, as it will offer information on the explanatory power of certain variables, which will be useful when concluding whether training or experience are most important for soft skill development, the relationship between training and experience, and any potential significance of which of the two is acquired first. Also, for the second objective, multiple regressions can be used for both employees and managers, to determine whether it is the soft skills of employees, or of managers, that have more impact on the number of repeat customers a company receives.

　　Additionally, Gaussian, or other relevant, probability distributions can be used, and may prove useful depending on the form of the data. For example, if it can be shown that the tendency of customers to become repeat customers resembles a Gaussian probability function, this could provide evidence that the soft skills have little impact, and that some customers would tend to be repeat customers regardless, whereas others would seldom become repeat customers. Equally, significance tests can be performed on each result that the regression shows to be an explanatory variable, in order to determine whether or not it has a statistically significant effect on the customer tendencies and company profits.

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