Combined analysis
An advantage of a Bayesian approach is that it allows combining of evidence without type-1
error inflation (Thus, for emotionality, we conducted a mixed ANOVA with time (Blocks 1 and 2), condition
(narration or imagery), Experiment (1, 2 or 3) and their interactions as fixed factors and
participant and memory as random factors. This analysis gave strong evidence for an effect
of condition on emotionality (For negative affect, a mixed ANOVA with time (pre, post), condition (narration or imagery),
experiment (1, 2, or 3) and their interactions as fixed factors and participant as random
factors gave strong evidence in favour of a model with experiment and time plus their
interaction (The same ANOVA applied to positive affect scores gave similarly strong evidence for a model
including effects of Time and an interaction of Experiment × Time (