Table 6.
Parameter sampling values used to generate simulated data in Simulation 2. Each row represents a separate sub-simulation, wherein one key parameter was manipulated to have either a small, medium, or large effect across easy and hard conditions
| Sub-simulation | v (easy) | v (hard) | a (easy) | a (hard) | t0 (easy) | t0 (hard) |
|---|---|---|---|---|---|---|
| v (small effect) | μ = 2.3, σ = 1 | μ = 2.0, σ = 1 | unif[0.5–2.0] | = a (easy) | unif[0.2–0.5] | = t0 (easy) |
| v (medium effect) | μ = 2.5, σ = 1 | μ = 2.0, σ = 1 | unif[0.5–2.0] | = a (easy) | unif[0.2–0.5] | = t0 (easy) |
| v (large effect) | μ = 2.8, σ = 1 | μ = 2.0, σ = 1 | unif[0.5–2.0] | = a (easy) | unif[0.2–0.5] | = t0 (easy) |
| a (small effect) | unif[0.0–4.0] | = v (easy) | μ = 1.25, σ = 0.4 | μ = 1.37, σ = 0.4 | unif[0.2–0.5] | = t0 (easy) |
| a (medium effect) | unif[0.0–4.0] | = v (easy) | μ = 1.25, σ = 0.4 | μ = 1.45, σ = 0.4 | unif[0.2–0.5] | = t0 (easy) |
| a (large effect) | unif[0.0–4.0] | = v (easy) | μ = 1.25, σ = 0.4 | μ = 1.57, σ = 0.4 | unif[0.2–0.5] | = t0 (easy) |
| t0 (small effect) | unif[0.0–4.0] | = v (easy) | unif[0.5–2.0] | = a (easy) | μ = 0.350, σ = 0.1 | μ = 0.385, σ = 0.1 |
| t0 (medium effect) | unif[0.0–4.0] | = v (easy) | unif[0.5–2.0] | = a (easy) | μ = 0.350, σ = 0.1 | μ = 0.400, σ = 0.1 |
| t0 (large effect) | unif[0.0–4.0] | = v (easy) | unif[0.5–2.0] | = a (easy) | μ = 0.350, σ = 0.1 | μ = 0.430, σ = 0.1 |
Where a parameter is manipulated between conditions, μ and σ provide the mean and standard deviation (respectively) for each condition used to draw samples from a multivariate normal distribution with correlation ρ = 0.5 between the manipulated parameters. = signifies identical parameters were used to the named column (e.g., = t0 (easy) means the parameters were identical to those in the t0 (easy) column. μ = mean of the condition. σ = standard deviation of the condition. Unif refers to a uniform distribution with the range of possible values shown in square brackets