This study is about the effects of combining audio and visual signals in detecting movement towards or away from an observer.
The experiment involves a computer which presents audio and/or visual signals, and the task is to respond to these signals as quickly and accurately as possible. The experiment lasts for two hours, and pays £10 upon completion.
To sign up, visit SONA (https://st-andrews.sona-systems.com/default.aspx?p_return_experiment_id=929) or contact firstname.lastname@example.org
UTREC approval code: PS12994
We are very short of participants for a series of studies taking place between now and the end of this semester. We need hundreds of participants.
In our studies participants face a variety of choice scenarios, and their choices lead to cash rewards. (The average overall compensation is very competitive – average pay in the last few sessions was above the living wage hourly rate. In the studies we are conducting at the moment there is a show-up fee, plus extra pay, the level of which is determined by choices that participants make and chance.)
Economic studies (known as economics experiments) are a fun activity. No previous knowledge of economics is required. Indeed, that is often a plus. The experiments use no deception and no physical stress of any kind. Your identity is kept confidential from other participants.
We would thus like to encourage you register to participate in our economics experiments. To obtain more information and to register in order to participate, please go to:
UTREC approval code: EC12333.
Application deadline: Friday 30th November 2018
Volunteer Zambia: Education is a partnership between the University of St Andrews and the Zambian Non-Government Organisation, Sport In Action. It involves fundraising for the project throughout the year, and then living and working in Kazemba – a rural Zambian village for about 5 weeks this coming summer. During their time in Zambia University staff and students help staff and pupils at the local school, and the wider village community.
This life-changing opportunity offers experience in:
- International Development
- Journalism and Reporting
- Project Management, and more…
For more information including details of how to apply please visit: http://www.st-andrews.ac.uk/projectzambia/
NEW this year, this intensive one-day GRADskills workshop for research students/staff explores advanced techniques and processes for analysing and interpreting spatial data in QGIS, including 3D visualisation and process automation. The course is most suited to delegates who already have a good working understanding of QGIS. Please note you must bring your own laptop and mouse with the latest ‘Long Term Release’ of QGIS installed. Lunch is provided.
The workshop will cover the following topics:
- Visualising spatial data
- Raster analysis
- 3D visualisation
- Processing & Automation
Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=8919
NEW this year, this GRADskills workshop for research staff/students is designed specifically for researchers who are interested in developing their literature analysis skills. With over 30,000 journals and nearly three million academic papers being published each year it can be challenging for researchers to read and assess all of the relevant literature; there are now tools to annotate papers as you read which can save you time and allow you to share your notes with others. The workshop will also cover how to get the most out of journal club sessions: understanding the aims, what your supervisor expects, tackling interdisciplinary papers and how to ask pertinent questions that stimulate discussion. We will cover the key aspects to critiquing a paper, how to extract the main points and techniques to optimise your time.
Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=9042
Do you currently/intend to write code, develop or maintain programs, scripts or other code as part of your research? If so, this two-day CAPOD workshop for research postgraduates and staff is for you!
Dedicated to teaching basic computing software development skills to researchers, this workshop run by Software Carpentry is aimed at researchers who want to develop the computing skills they need to streamline their workflow, organise their data and get more done in less time, and with less pain!
Day 1 morning: Automating tasks with Unix shell
Day 1 afternoon: Building programs with Python
Day 2 morning: Version control with Git
Day 2 afternoon: Building programs with Python
Request a place: https://www.st-andrews.ac.uk/pdms/index.php?CourseID=9006
This two-day GRADskills workshop (lunch is provided) aims to provide familiarity and confidence with the statistical analysis of several or many variables simultaneously. There is a strong emphasis on the use of graphs to present results. You must be familiar with basic statistics, regression, and analysis of variance and have at least basic familiarity with R. Topics will include:
- How to think about the data and how to organise the data in a file before analysis.
- Graphical methods to explore multivariate data.
- Principal components.
- Discriminant analysis.
- Correspondence analysis.
- Factor analysis.
- Relationships among samples.
- Cluster analysis.
- Partial least squares and principal component regression.
- Classification and regression trees.
You must sign-up for both days:
What previous participants have said about this course:
- “This course is a must for all research postgrads; I can’t imagine anyone wouldn’t be running at least one of the tests covered.”
- “The structure and material covered in the workshop was fantastic. Even though the material is hard to grasp if you have never seen it, the instructor explains it so well.”
- “It covers multiple topics and goes deep enough to give a perfect overview.”
This study is being conducted as part of a research project in the School of Psychology and Neuroscience (Ethics approval code – PS12215).
All participants will receive a £4 voucher which can be redeemed for cash in the School of Psychology & Neuroscience.
We are interested in the effect of musical preference on communication style. You will rate various clips of music, and then participate in a recorded webcam interaction with another participant. The study should take less than 40 minutes and takes place in the School of Psychology & Neuroscience.
The information you provide will be held confidentially by the researchers involved in this this project. Before agreeing to participate in this research you will be given a Participant Information Sheet that will further detail my/our research before consenting to participate.
To take part please sign up on SONA – https://st-andrews.sona-systems.com/default.aspx?p_return_experiment_id=1001
Alternatively please contact Fergus Neville (email@example.com)
Undergraduate or Postgraduate Scottish students studying: Medicine, Law, Arts, Divinity or Science. Application deadline is 5pm on Friday 23rd November 2018. Please follow this link for more information.
Eligibility criteria: Participants must be aged 18 years or over.
Taking Part: Click here to complete our brief online survey.
Study description:We invite you to participate in an online experiment aiming to assess how different decisional utterances (e.g. “I think there is a very good chance I am right”) are interpreted. You should note there are no right or wrong answers across our experiment we are simply interested in your opinions, which will be given in the form of ratings, across a range of utterances.
You will be asked to complete a short online experiment. The experiment will be divided into two major parts, I) a demographics information form and II) a decisional utterance questionnaire. During the demographics information form, you will first provide a small amount of demographic information (e.g. your Age, Gender and Nationality). During the decisional utterances questionnaire, you will be asked to make rating scale judgements about a series of contextualised decisional utterances (e.g. “I am very unsure my old response was correct”). The information you provide will be anonymous and, should you give permission in the Consent Form, shared with other bona fide researchers and used for future scholarly purposes. Before agreeing to participate in this research you will be provided with a Participant Information Sheet that will further detail our research, allowing you to be fully informed before giving consent.
If you would like any more information please email Josephine Urquhart at firstname.lastname@example.org.
UTREC approval code: PS13645