I work for a government department in Australia.

The department runs an annual opinion survey with 5 point likert scale

response items.

The analysis of this data includes calculating a mean of responses using the

following values.

Very dissatisfied - 0

Dissatisfied - 1

Neutral - 2

Satisfied - 3

Very satisfied - 4

So, typical mean scores for any item might be 2.2, 3.3, 3.25 etc etc.

My question relates to the guide to interpretation the department provides

to users of the data.

The guide is as follows -- 0 - 0.8 very dissatisfied, 0.81 - 1.6

dissatisfied, 1.61 - 2.4 neutral, 2.41 - 3.2 satisfied, 3.21 - 4.0 very

satisfied.

My problem with this guide is that it seems to favour the extremities for

example - equal numbers of satisfied and very satisfied responses result in

a mean of 3.5 which according to the guide indicates very satisfied!!

My thinking is that as satisfied is 3 and very satisfied is 4 then 3.5 would

be the critical point in the guide not 3.4.

Is there a standard/accepted way of interpreting this type of data?

Where can I find this information?

Thanks

Adrian

PS. I am aware that there is debate around the legitimacy of carrying out

this sort of data analysis on ordinal data -.. but am interested nonetheless.