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A version of the Corsi blocks task with a 4 x 4 grid of blocks to click on

A forward and Backward Digit Span test for Working Memory The test adapts to participnts' answers and a score is calculated following Woods et al. (2012)

The classic Stroop task.

Tasks, data, and analysis scripts for Nussenbaum, K., Scheuplein, M., Phaneuf, C., Evans, M.D., & Hartley, C.A. (2020). Moving developmental research online: comparing in-lab and web-based studies of model-based reinforcement learning. Collabra: Psychology.

Posner made for feb workshop

First upload of task for P03

The classic Stroop task.

This experiment demonstrates a method to randomize a fixation cross duration. This specific method shows the randomization between 1000ms and 3000ms.

Sternberg Working Memory Task demo.

Working memory tests on JavaScript (digit span, operation span, visual array, spatial span)

This experiment demonstrates how to modify a loop's 'Selected Rows'.

A simple lexical decision task to check stimuli.

Open sourced Implicit Association Test (IAT) as a demonstration. This version will run locally in PsychoPy (mouse input) or online (including touchscreen input)

Please cite: Bölling, L., 2022-03-10. Config-File-Parameterization of online and offline experiments in PsychoPy-Builder [Computer software]. Pavlovia. https://gitlab.pavlovia.org/luke.boelling/configfiledemo.

An escape room ... of bugs.

Here I have delibrately planted a range of bugs for you to crack...

Good luck getting out!

Hopefully you learn some JS and web skills on the way!

This is a simple Lexical decision task. A fixation cross will be displayed in the centre of the screen. Following this 2 text stimuli will then appear, and the participant will have to respond if they are words or non words pressing ‘w’ if they are both words or ‘n’ if one or more is not a real word. This will be repeated 36 times for the main trial. Reaction time and accuracy will be recorded, and congruent and incongruent pairs will be compared. If you have any issues please get in touch with me at 19010167@hope.ac.uk Thank you Michael Dolan 19010167@hope.ac.uk