Table 4. Experiment 1: Self-paced reading speed model estimates for the planned analysis with set size as a categorical predictor.

Predictor	$\hat{\beta }$ (words/s)	95% CrI	Bayes factors (BF10):
			Informative	Planned	Diffuse
Intercept	2.50	[2.33, 2.67]	–	–	–
Set size	0.07	[−0.02, 0.16]	1.32	0.28	0.20
Distance	−0.02	[−0.09, 0.06]	0.31	0.07	0.05
Set size × distance	0.02	[−0.15, 0.18]	0.88	0.23	0.07

Note:

The reciprocal transform means that $\hat{\beta }$ represents the model’s estimated effect for each of the predictors in words per second. A positive sign therefore indicates faster reading (more words per second) and a negative sign, slower reading. The 95% Bayesian credible interval (CrI) gives the range in which 95% of the model’s samples fell. Bayes factors are presented for a range of β priors including, from left to right: more informative than the prior used in the planned analysis, N(0, 0.1); the prior used in the planned analysis, N(0, 0.5); and more diffuse than the prior used in the planned analysis, N(0, 1). BF₁₀ indicates the Bayes factor for the full model (1) against a reduced model (0). Bayes factors of less than 0.3 indicate evidence for the reduced model, while Bayes factors greater than 3.0 indicate evidence for the full model.