Bangor Language Production Lab

Bangor University

• School of Psychology
• Colloquia
• Some shared facilities
• School of Linguistics
• Colloquia

General CogPsych/CogSci/Psycholinguistics

• Gary's notes on how to read an experimental psych article
  

A few conferences

• International Workshop on Language Production
• AMLaP
• Academy of Aphasia
• Psychonomics
• Cognitive Science
• ESCOP

Article access

• Google Scholar (a great resource that Google has inexplicably hidden; be sure to add your library links via the settings within)
• Bangor Library catalogue (often required to get around paywalls)

Experiment creation

Experiment running software

• Psychopy (most of our in-lab experiments run on Psychopy, a free Python-based solution for experiment creation and data collection. Its nice GUI generates editable Python scripts for in-lab use, or Javascript implementations for internet-based studies.)
• Pavlovia (a hosting system for internet-based experiments.)
• tech support forum
• The stringdist package for R (if you're using typed responses for online experiments, you'll probably need some solution for fuzzy string matching.)

Stimulus generation and properties

• MRC Psycholinguistic Database (single-word properties)
• ARC Nonword Database (find non-words)
• Corpora
  • SUBTLEX-UK
  • SUBTLEX (US)
    
  • COCA (US)
    
• Images
  • Bangor norms for the IPNP
    
  • [find others on the lab server]

Counterbalancing

• Sequentially-counterbalanced latin squares

Statistical analysis

• R
• Gary's notes on using BLAS for multicore support on Mac, for MUCH faster performance (YMMV)
• RStudio (user-friendly GUI and programming environment)
• RMarkdown (don't just write code line by line. preserve and compile it for tractable, reproducible analyses)
• ggplot (graphics)
• lme4 (mixed effects regressions via lmer, glmer)
• RePsychLing (package for identifying parsimonious random effects structures)
  install.packages("devtools") devtools::install_github( "dmbates/RePsychLing")
• lmerTest (a convenient way to get p-values for lmers)
• Some tips for speeding up (g)lmer model fitting
• lmer-related literature (see also the 2008 special issue of JML)
• Baayen, R. H. (2008). Analyzing Linguistic Data: A practical introduction to statistics (could use an update, but excellent coverage of many issues)
• Baayen & Milin (2010). Analyzing reaction times. International Journal of Psychological Research (a nice practical overview of an lmer workflow)
• Barr et al (2013). Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language (an explanation of and argument for maximal random effects structures; not sure I completely agree, but it's important to understand)
• Bates et al (201x). Parsimonious mixed models. (a response to Barr et al's directive; see the vignettes in the github repository for workflow examples)
• Resolving gfortran errors on MacOS

See also

• MRC CBSU's resource listing