Modeling self-paced reading data: Effects of word length, word position, spill-over, etc.

I’ve been using a two-step approach, where in the first step I use all data (including fillers, but not practice items) of an experiment to fit a model of log-transformed raw reading times with:

• word length (Wlen)
• position of word in stimulus (Wpos)
• position of stimulus in list (Lpos)