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Statistical consulting service of the Institute of Psychology
The Institute of psychology provides statistical consulting for our Master students, PhD students, postdocs, MER, and professors.
It provides support for statistical and programming questions as well as additional resources to facilitate your research (for example R, jamovi, Python, MPlus, SPSS).
Below you will find further information regarding the services available for you.
This section is dedicated to the statistical consulting for Master students.
Please note that the services provided are only addressed to Master thesis/ dissertation students (Mémoire de Master).
Email R support
Contact the R support team for specific R code problems you cannot resolve.
However, before doing so, please make sure that you have exhausted the online recourses.
If you still struggle to resolve the problem, contact us.
This option is only for R syntax questions and not for statistical problems or for any other software.
Statistical Consulting
A consultancy is offered to students regarding model designing and statistical questions. The main goal of statistical consulting is help finding the right model given the specific data set and problems.
However, we also offer support for designing studies as many problems cannot be solved once the data is collected.
Please apply the following steps before contacting us:
- Consult your supervisor
You have discussed your question with your supervision and have agreed on an external statistical consultancy.
- CC your supervisor
When contacting us, make sure to cc your supervision in the email.
- Be specific
Specify your question and describe your data set (research design, DV and IVs including sample items, sample size, hypothesis, model considered, specific problem, assumed model, etc)
Duration: 1-2 hours
The department of psychology provides the following services to the PhD students.
Email R support
Contact the R support team for specific R code problems you cannot resolve.
However, before doing so, please make sure that you have exhausted the online recourses.
If you still struggle to resolve the problem, contact us.
This option is only for R syntax questions and not for statistical problems or for any other software.
Statistical Consulting
A consultancy is offered to students regarding model designing and statistical questions.
The main goal of statistical consulting is help finding the right model given the specific data set and problems.
However, we also offer support for designing studies/grants as many problems cannot be solved once the data is collected.
Please apply the following steps before contacting us:
- Consult your supervisor
You have discussed your question with your supervision and have agreed on an external statistical consultancy.
- CC your supervisor
When contacting us, make sure to include your supervision as CC.
- Be specific
Specify your question and describe your data set (research design, DV and IVs including sample items, sample size, hypothesis, model considered, specific problem, etc)
Duration: 1-2 hours
Collaboration (Stats Training)
This option is offered when the statistical consultancy (1-2 hours) is not sufficient to solve your problems.
It can either include a prolonged statistical supervision and help (i.e., training in a specific modeling technique) or an analysis of your data by the Stat team.
Both options are available only upon agreement with your supervisor(s) and involves a recognition of the intellectual contribution (e.g., co-authorship).
This section is dedicated to the statistical consulting for Postdoc students, MER, and Professors.
Email R support
Contact the R support team for specific R code problems you cannot resolve.
However, before doing so, please make sure that you have exhausted the online recourses.
If you still struggle to resolve the problem, contact us.
This option is only for R syntax questions and not for statistical problems or for any other software.
Statistical Consulting
A consultancy is offered to students regarding model designing and statistical questions.
The main goal of statistical consulting is help finding the right model given the specific data set and problems.
However, we also offer support for designing studies/grants as many problems cannot be solved once the data is collected.
Specify your question and describe your data set (research design, DV and IVs including sample items, sample size, hypothesis, model considered, specific problem, etc)
Duration: 1-2 hours
Collaboration
This option is offered when the statistical consultancy (1-2 hours) is not sufficient to solve your problems.
It can either include a prolonged statistical supervision and help (i.e., training in a specific modeling technique) or an analysis of your data by the Stats team.
Note: Both options are available only upon agreement with your supervisor(s) and involves a recognition of the intellectual contribution (e.g., co-authorship).
Help with designing research and writing grants
Research design
In the statistical consultation we often experience that we cannot answer an originally desired question with statistical models because of research design problems (design, questionnaire etc).
Therefore, we also offer consultation to help in the elaboration of a modern research design.
Grants
Especially for larger grants, funders often expect a statistician to be on the grant.
Therefore, we offer support in writing the statistical part of a grant proposal.
Below you will find some useful resources regarding statistics and programming.
Before contacting us, verify that your question(s) cannot be answered through the following sources.
L'équipe
| Nom | Rattachement |
|---|---|
| Peter Hilpert | Laboratoire d'étude des processus de régulation cognitive et affective (CARLA) |
| Jean-Philippe Antonietti | Centre de recherche sur la famille et le développement (FADO) |
| Michal Frackowiak | Laboratoire d'étude des processus de régulation cognitive et affective (CARLA) |
Rejoignez-nous
Voulez-vous faire partie de l’équipe de consultation statistique? Envoyez-nous un e-mail et présentez-vous brièvement, expliquez votre motivation à rejoindre l’équipe et votre domaine d’expertise.
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