The test was administered during pre-test (time 1).
In a first step, t-tests for independent samples and chi-square tests were performed to evaluate differences in CG and EG at pre-test time.
To evaluate the effectiveness, pre-test (Time 1, T1: before the session), post-test (Time 2, T2: immediately after the session), and follow-up test (Time 3, T3: three months following the session) were conducted.
According to Drennan and Hyde [[ 15], p. 700], One major problem with self-report pre-test-post-test measures is that the [respondent] may reconceptualise the construct under investigation between the pre-test (time one) and the post-test (time two) [ 16].
Everyone who knows anything about Formula 1 knows that pre-season testing times are an unreliable guide to actual performance.
However, Button admitted it was hard to interpret pre-season testing times to establish who had the fastest car.
Pre-season testing times are notoriously unreliable indicators of true form because there are so many possible variables in the specification of the cars.
It is notoriously difficult to predict form from pre-season testing times because the teams do no release crucial data about the specifications in which their cars are running, such as fuel load, engine mode and so on.
Now, let's state before we get too far into this that it is notoriously difficult to draw firm conclusions from pre-season testing times, especially the headline fastest laps.
A good start". Pre-season testing times are a notoriously misleading guide to real form as it is impossible to know the specifications cars are running in - tyres, fuel loads and engine modes all make a significant difference to performance.
Pre-season testing times are notoriously unreliable indicators of form because it is impossible to know the specification in which teams are running their cars, while fuel loads, engine modes and other aspects can make a significant difference to performance.
