Here are some projects that did not fit under the other headings.
Developing a sound and well-functioning mental orthographic lexicon is important for fluent reading. Some children struggle to shift from reliance on a letter-by-letter decoding strategy to fluent, automatic activation of a word's pronunciation and meaning, which characterises reading in adults. This raises the questions: Can we measure the efficiency of a given person's lexical efficiency? What tasks and statistical methods would be most suitable for this?
In an ongoing project, we collected data from >80 Italian native speakers on 4 tasks and 9 psycholinguistic effects that are used interchangeably in the literature as markers of lexical processing. We aimed to determine whether the size of the effects correlates across individuals. As it turns out, it doesn't; now I'm trying to figure out why. I presented some preliminary analyses at Macquarie University in October 2017, slides here [starting from Slide 15].
In English, multi-letter graphemes (i.e., graphemes consisting of more than one letter, e.g., th, a_e, oo) are required to represent the phonology. In the Dual Route Cascaded Model of Single-Word Reading Aloud (DRC), all two-letter graphemes are processed in the same manner. This means that the cognitive system is assumed to take the same time and effort to process, for example, aw --> /oː/, oo --> /ʉː/, or ar --> /ɐː/ (Australian English).
In a series of experiments using a letter detection task, we explored whether there are any differences at an early, visual-orthographic stage of the visual word recognition process. Basically, we found that some graphemes appear to be more salient than others, but we couldn't figure out why. Preprint, data and analysis script here. WARNING: I CANNOT REPRODUCE ALL OF THE ANALYSES REPORTED IN THE FIRST EXPERIMENT DESCRIBED IN THE PREPRINT.
There is a series of studies showing that increasing letter spacing improves reading ability. It is unclear why this is the case. With Teresa Schubert, Sachiko Kinoshita and Dennis Norris, we wanted to see if increasing letter spacing improves letter-position and/or letter-identity coding, using a masked priming same-different decision task. The answer is: probably not, but we need follow-up experiments to draw stronger conclusions. We haven't written it up, but you can find the preregistration report, materials, data and analysis script here.