Pingu wrote:
> 
> Hello all statistics altruists -
> 
> I have run a between subjects experiment testing subjects' speed of
> dialling from a mobile phone under 2 different conditions. 12 subjects
> each dialled the same 10 names under both conditions and i want to do
> run t-tests in SPSS to see if there is an effect of condition on
> dialling time.
> 
> I am pretty sure that i need to be running a 2-tailed "paired samples"
> t-test in SPSS to do the analysis i want. The problem is i am not sure
> that i have set out my data correctly for this.
> 
> At the moment i have 2 columns representing the 2 conditions. Each
> column contains 120 rows of data (12 subjects x 10 dial attempts). I
> then choose [column 1 vs column 2] in the "paired samples t test" box
> of SPSS.
> 
> Is this correct? I have the feeling that this set out may be treating
> the data as if there were 120 participants instead of 12. Im not even
> sure if this makes any difference, but i am a novice with very little

That's not correct. You can't treat the trials/names as independent. Either:

a) use two columns of 12 data points (1 per subject) made up of the mean or
median for the 10 names (use the paired t command)
b) use repeated measures ANOVA and have 12 rows and 20 columns. Use the GLM
repeated measures command and define two within subject factors (one with 2
levels and one with 10 levels).

Data from the same person is kept on the same row/case.

Strictly, the b) is better as it use more of the raw data (though one I argue
that the test is generous since it treats the "names" as fixed factors).

Thom
.
.
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