Just to be clear then are you saying that the independent variable is which item the respondent completed? That is to say you are comparing scores to each other?

If I am understanding that correctly then you may be interested in conducting a repeated measures ANOVA with something like a Tukey's post hoc test to identify specific differences. This would be appropriate if...

1) Each data point comes from the same respondent/individual/business (whatever your unit of analysis is). That is the variables are being compared within subjects

2) Your outcome variable is continuous and approximately normally distributed.

The overall model will indicate whether there are differences between the 10 items and your post hoc tests will identify which differences are significantly different from zero. Tukey's is commonly used, but certain types of post hoc tests may be better/more appropriate depending on the nature of your data.

To do all of this in SPSS go to Analyze -> general linear models -> repeated measures.

You will create a factor with 10 levels (one for each of the items you are interested in), then you will click
*Define* on the bottom left of the dialogue box and add the variables as within-subjects factors. There should also be an option to add post hoc tests.

Because there will be a number of post hoc comparisons, it may be appropriate to set a more stringent alpha (referred to as a Bonferroni correction). You divide your initial alpha (.05) by the total number of comparisons being made and this reduces Type I error inflation. You will have to do the ranking yourself (which you can based on the means and based on which means differ significantly from one another).

I will say just one additional thing - that this is not a common way survey data is analyzed if the 10 items are intended to measure the same construct. If you could tell me a little more about the data and/or your research question, I might be able to provide a little more guidance or even suggest some statistical models that might better answer the kind of questions you are interested in answering.

Either way I hope this helps.