Online Experiments for Language Scientists
Many areas in the language sciences rely on collecting data from human participants, from grammaticality judgments to behavioural responses (key presses, mouse clicks, spoken responses). While data collection traditionally takes place face-to-face, recent years have seen an explosion in the use of online data collection: participants take part remotely, providing responses through a survey tool or custom experimental software running in their web browser, with surveys or experiments often being advertised on crowdsourcing websites like Amazon Mechanical Turk (MTurk) or Prolific. Online methods potentially allow rapid and low-effort collection of large samples, and are particularly useful in situations where face-to-face data collection is not possible (e.g. during a pandemic); however, building and running these experiments poses challenges that differ from lab-based methods.
No prior experience in coding is assumed, but you have to be prepared to dive in and try things out; the assessment will involve elements of both literature review and coding.
Link to resource: https://kennysmithed.github.io/oels2020/
Type of resources: Syllabus
Education level(s): College / Upper Division (Undergraduates)
Primary user(s): Student, Teacher, Researchers
Subject area(s): Social Science