The study involves:

You suggested items designed to be part of a new questionnaire measure of statistical anxiety.

By virtue of content/surface validity, 20 items were selected to create this questionnaire.

Students on the L7 FDS module were then invited to take part and complete an online survey made up of three questionnaires:

• The FDS measure of statistical anxiety (our measure)

• The Statistics Anxiety Scale (SAS – Vigil-Colet et al)

• The Trait Anxiety Inventory (from STAI – Spielberger)

They first stated whether they believe they had stats anxiety (self-categorised).

We then had to work out:

• Cronbach’s alpha for all 3 measures

• Average inter-item correlation for FDS

• Concurrent & discriminant validity (i.e., correlations between FDS/SAS/STAI)

• Criterion validity for FDS (i.e., ANOVA – can our questionnaire differentiate between self-categorised stats anxiety)

We are testing the reliability and validity of our new measure.

My original thoughts:

- There will be a positive correlation between FDS and SAS (SAS is a similar measure)

- There will be no relationship between FDS and STAI (STAI measures a different construct)

- Then a hypothesis for the anova?

Thanks, happy to clarify anything further