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In analysing the data, the most important emphasis is on testing the hypothesis, whether there is a difference in consumer motives in donating to different charity types. Whilst this is the focus of the study, there is ample leeway for analysing a multitude of factors relevant to the industry, adding insight to the field, including why the UK public donates in general, how they donate and how much they donate amongst other factors.

5.1.The Distribution of Data

The first consideration of the data gained from the survey, is to analyse the distribution of the results gained by age groups; this is due to the initial concerns of the data collection methods, in that collected responses were not set to give an equal distribution per say, it was just strived for, but also to be able to view the results on a whole as valid as a reflection of the UK public and not just one specific age group. The chart below shows the frequency of responses per age group, including a normal distribution curve to be able to depict the distribution of responses thoroughly.

What is evident is that there are a greater proportion of respondents being in the 21-30yrs age group than any others, with the mean age response of 2.51 falling into that interval. Yet other than this, the distributions of results are fairly spread across the range, which can be seen from the normal distribution curve, but with a slight skewness of 0.584, indicating a positive skew to the left side of the distribution. It is always useful to look at the z score of skewness additionally, since this measure takes into account the standard error in the dataset calculated by SPSS. For the distribution of age groups the z score is 0.584/0.174, which equals 3.36, amplifying the skew in the data. Whilst this is not ideal, there are a significant amount of respondents in each age interval, creating a valid sample to assess; a perfect dataset is very difficult to come by.

5.2.The Relationship between Age and Donating

Previous research has shown that the amount donated to charities increases with age, in particular with the older peoples giving more generously. It would be interesting therefore to test this according to the data collected, in addition the data allows for measuring the frequency of donations with age. The bar chart below shows the frequencies of the amount donated separated by age group. Evident is that the lower propensities of donations are much more concentrated to the lower age groups, which could be somewhat expected since these age groups experience a lower income, in particular the under 20yrs old interval. The bar chart in itself does not show much relationship between the amount spent and age, since there is a fair dispersion of amount spent, which is also evident from the standard deviation coefficient of 1.7. The correlation can be better seen through the cross tabulation and plotting of the averages for the data, as seen in the chart overleaf. A positive relationship is evident, which can be depicted by the uphill direction of the curve; however,本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。