Table 1a.

List of GLMMs: the influence of the Search extension variable onto solution time, accuracy & search.

Baseline model: RT/accuracy/search ​~ ​Target words ​+ ​Prime ​+ ​(1|subjects) ​+ ​(1|items) ​+ ​ε

Full model: RT/accuracy/search ​~ ​Search extension ​+ ​Target words ​+ ​Prime ​+ ​(1|subjects) ​+ ​(1|items) ​+ ​ε

Full model ​ ​+ ​ ​RT: search ​~ ​RT ​+ ​Search extension ​+ ​Target words ​+ ​Prime ​+ ​(1|subjects) ​+ ​(1|items) ​+ ​ε

Exploratory model: RT ~ Search extension*Raven + Target words + Prime + (1|subjects) + (1|items) + ε

Note. RT = solution time. ε = an error term. We modeled solution time, accuracy and search (for potential solutions) separately but with the same fixed and random effects. For search, we added solution time (RT) as an additional predictor to control for more search due to longer solution time. Target words = mean semantic distance between target words and solution, Prime = semantic distance between prime and solution, Search extension = semantic distance between prime compound and solution compound. Raven = mean solution time for 12 items of Raven’s advanced matrices weighted by amount of correctly solved items.