GitLab

Base Work where everything works offline i.e., Psychopy, withoutany added variables.

10/6/20 Alternates between conditions, dependent on completion Any aborted or incomplete projects will not be used lwhitfield/baghami-3-october-version

A modified version of the Gender-Science IAT in French that includes a Gender-Fair Language Condition

This is code for the replication of Seli et al. (2016), which is part of the Collaborative Replication and Education Projects (CREP). I share this for other to try out and use.

Note that this public experiment only involves 2 blocks of 45 trials for piloting purposes. The code in the routine SetBlockLengths allows you to change this (to 20 if you are replicating Seli et al., 2016).

Also note that I disabled actual submitting of data by Never stopping the routine Debrief. This means you can only exit the experiment by pressing 'Esc' and closing the browser window. My settings on Pavlovia are such that in that case no data is saved. If you use this for your own experimentation, you should in the routine Debrief change the settting of Debrief_mouse: 'End routine on press' to 'valid click'.

Navon figures created in code so that the size and number of local items can easily be varied.

This is a demo to show how one can use slider position to change the opacity of an image (in this case: a lightbulb).

Psychomotor Vigilance Task to be run in Pavlovia

Eksperimen ini bertujuan untuk mengklasifikasikan gambar-gambar wajah sesuai dengan emosi dasar manusia (terkejut, takut, jijik, marah, senang dan sedih).

Eksperimen terdiri dari dua bagian. Bagian PERTAMA, Anda diminta untuk menentukan emosi yang cocok/sesuai dengan gambar yang diberikan serta menentukan intensitas emosi pada gambar yang diberikan. Bagian KEDUA, Anda diminta untuk memilih satu kata emosi yang paling cocok/sesuai dengan gambar dari dua pilihan kata yang diberikan.

Eksperimen ini merupakan rangkaian dari validasi Human Basic Expressions Test yang dapat digunakan untuk seting klinis seperti pengukuran kemampuan pengenalan ekspresi wajah pada individu dengan Autism Spectrum Disorder.

Participants are presented with a series of numbers and must recall them by typing them into a box. The amount of numbers will increase, making the task harder and harder until we can measure the maximum amount of numbers a participant can remember.

This experiment demonstrates how to create a rating slider that moves only when its marker is selected. Simply selecting other areas on the slider won't work.

The aim of this study is to determine whether likeability ratings of novel food images will decrease after these images are paired together with obese, normal, thin body shapes. If you participate, you will be asked to rate a number of novel food stimuli on how much you think you would like them on a Likert scale from -100 (extremely dislike) to +100 (extremely like). You will then be shown these novel food items again, but each one will also be immediately be followed by an image of different body types (obese, normal, thin). An extinction phase will also be conducted where certain food and body image pairings will not be shown, and the food image will be shown without a body image being shown immediately after. Following these conditioning and extinction phases, you will then be asked to rate both the novel food images and body images using the same Likert scale which will show if your likeability rates differ after viewing the food images being paired with different body types.

Series of cognitive tests including: Verbal Fluency, Semantic Judgment Task, Forward Flow, Alternative Uses Task, Cattell, Demographics

Posner made for feb workshop