Outputs (4)

Stratified distributional analysis—a novel perspective on RT distributions (2024)
Journal Article
Thul, R., Marsh, J., Dijkstra, T., & Conklin, K. (2024). Stratified distributional analysis—a novel perspective on RT distributions. Quarterly Journal of Experimental Psychology, https://doi.org/10.1177/17470218241288516

Abstract
Response times and their distributions serve as a powerful lens into cognitive processes. We present a novel statistical methodology called stratified distributional analysis (SDA) to quantitatively assess how key determinants of response t... Read More about Stratified distributional analysis—a novel perspective on RT distributions.

The Conversationality Index: A quantitative assessment of conversation in social media interactions (2024)
Journal Article
Cotgrove, L., Thul, R., & Conklin, K. (in press). The Conversationality Index: A quantitative assessment of conversation in social media interactions. Internet Pragmatics,

There has been an explosion in social media use, with Statista estimating that worldwide, Facebook has over 3 billion regular active users, YouTube 2.5 billion, and Instagram and WhatsApp 2 billion. While social media allows one to connect and intera... Read More about The Conversationality Index: A quantitative assessment of conversation in social media interactions.

Word and Multiword Processing (2022)
Book Chapter
Conklin, K., & Thul, R. (2022). Word and Multiword Processing. In A. Godfroid, & H. Hopp (Eds.), The Routledge Handbook of Second Language Acquisition and Psycholinguistics (203-215). Routledge. https://doi.org/10.4324/9781003018872-20

When we encounter linguistic input, both spoken and written, we need to identify words and multiword sequences (e.g., “spill the beans” meaning “to reveal a secret”), ascertain their meaning, and integrate them into our unfolding understanding of a s... Read More about Word and Multiword Processing.

Using GAMMs to model trial-by-trial fluctuations in experimental data: More risks but hardly any benefit (2021)
Journal Article
Thul, R., Conklin, K., & Barr, D. J. (2021). Using GAMMs to model trial-by-trial fluctuations in experimental data: More risks but hardly any benefit. Journal of Memory and Language, 120, Article 104247. https://doi.org/10.1016/j.jml.2021.104247

Data from each subject in a repeated-measures experiment forms a time series , which may include trial-by-trial fluctuations arising from human factors such as practice or fatigue. Concerns about the statistical implications of such effects have incr... Read More about Using GAMMs to model trial-by-trial fluctuations in experimental data: More risks but hardly any benefit.