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Institute for Statistics

Within the Institute of Statistics and Quantitative Methods at the SFU Vienna, it is important to us to teach statistical analysis methods and their implementation in an application-oriented and practical way in order to open up a space for critical questioning and practice-oriented discussion for students in addition to the acquisition of central knowledge.
Our role in the training curriculum therefore relates to the teaching of methodological knowledge, which is not only useful in the context of an academic career, but is also an important tool in psychological practice.
The courses we supervise in the Bachelor’s and Master’s programmes at the Sigmund Freud Private University of Vienna include lectures and exercises in statistics and quantitative research methods and guarantee a sound methodological education in psychology studies.

Other Areas of Activity

Further areas of activity of the institute concern the following aspects:

  • academic teaching
  • Statistical counselling for quantitative scientific theses
  • counselling in the use of SPSS, AMOS and SoSci-Survey
  • Research activities (including cooperation with other faculties and institutes)

Potential issues you can come to us with:

  • Questions on planning (e.g. study design, sample calculation etc.) and evaluation of quantitative research projects
  • Methodological advice for bachelor/diploma/master/doctoral theses
  • Support with digital data collection (e.g. using SoSci-Survey)
  • Staff training (workshops, seminars)
  • Questions about the curriculum and teaching of statistics and quantitative methods
  • Enquiries about potential cooperation opportunities for quantitative studies

Course Programme

Statistics I, II, III, IV (Bachelor & Master)

As part of the courses on statistics (VO + UE), students learn the basic concepts of statistical procedures and calculations, as well as the practical use of the SPSS analysis programme and more complex procedures based on these, and implement them in an application-oriented manner.
All content learned in the lecture will also be practically implemented in the exercises using the SPSS programme. Accordingly, the SPSS programme is required for the exercises and must be installed on personal laptops/notebooks.
The Statistics III and IV courses in the Master’s programme are designed to build on the Statistics I and II courses in the Bachelor’s programme, but there is a short repetition at the beginning of the Master’s programme to refresh any content and to make it easier for students who are only studying at SFU at the beginning of the Master’s programme to get started.

Quantitative Methods (Bachelor)

This course (VO + UE) teaches basic concepts of empirical quantitative data collection and its processing. In particular, the focus is on basic concepts of psychological methodology and test theory, which are put into practice in the exercises. This course builds on the knowledge gained in Statistics I and II, with practical repetition of the material during the exercises. In addition, further test analysis methods (reliability and factor analysis, ROC curves) are learned, so that a student licence (cost: 30 euros) of SPSS is also required for this course, which can be obtained in the IT department (Room 4012, 4th floor, Freudplatz 1) or via spss@sfu.ac.at. In addition, the online questionnaire tool SoSci-Survey (access for the duration of the course) will be learnt.

Additional Courses

Introductory course for SPSS – SFU Med

As part of the introductory course for SPSS, prospective medical students learn the basics of using the SPSS software, as well as procedures for descriptive data analysis, correlation testing and inferential statistical hypothesis testing. In addition, the aim of this course is to gain initial experience in the correct presentation of results, data preparation and data entry.

Additional course “Introduction to working with structural equation models”

This additional course is an extension of the content taught in the core curriculum in the area of quantitative methodology. The course focuses on the use of so-called structural equation models. The aim is for students to be able to calculate, report and critically interpret structural equation models at the end of the course. AMOS Graphics is used as the analysis software.

Enrolment course SoSci-Survey

The aim of this course is to teach students the basics of using the online survey software SoSci-Survey. In addition to the implementation of questionnaires, topics such as filtering and data export are also covered.

Further software training (SPSS, AMOS etc.)

Statistical Advice Centre for Students and Supervisors

As part of the services offered by the Statistical Advice Centre, SFU employees have the opportunity to receive methodological support for their research projects (studies/theses etc.). The counselling service can be used at any stage of the work process.

Specifically, the counselling service includes supervision:

  1. Methodological counselling in the planning of empirical studies
  2. Assistance with the concretisation and operationalisation of research questions with regard to statistical verifiability
  3. Advice on the finalisation of specially created questionnaires
  4. Creation of accounts for the online survey software SoSci Survey.
  5. Exemplary training in computer-aided evaluation procedures along the existing research question.
  6. Provision of further assistance and support services that go beyond the offer formulated above

General conditions:

  • The offer is aimed at employees/academic staff of all faculties of the Sigmund Freud University of Vienna.
    Counselling session: 45 min.
  • For appointment requests or additional information, please contact the Counselling Centre at statistics@sfu.ac.at (maximum processing time 5 working days).
  • Information on online surveys at the SFU can be found here.

Statistical Advice Centre for Lecturers, Employees and Academic Staff

As part of the services offered by the Statistical Advice Centre, SFU employees have the opportunity to receive methodological support for their research projects (studies/theses etc.). The counselling service can be used at any stage of the work process.

Specifically, the counselling service includes supervision:

  1. Methodological counselling in the planning of empirical studies
  2. Assistance with the concretisation and operationalisation of research questions with regard to statistical verifiability
  3. Advice on the finalisation of specially created questionnaires
  4. Creation of accounts for the online survey software SoSci Survey.
  5. Exemplary training in computer-aided evaluation procedures along the existing research question.
  6. Provision of further assistance and support services that go beyond the offer formulated above

General conditions:

  • The offer is aimed at employees/academic staff of all faculties of the Sigmund Freud University of Vienna.
    Counselling session: 45 min.
  • For appointment requests or additional information, please contact the Counselling Centre at statistics@sfu.ac.at (maximum processing time 5 working days).
  • Information on online surveys at the SFU can be found here.

FAQ

I would like to take advantage of tutoring in statistics.
→ In this case, please contact one of our employees (see contact at the bottom of the page), we will be happy to put you in touch.

I have studied Statistics and/or Quantitative Methods at another university. How does credit transfer work?
→ If there are overlaps in the curriculum, it is not a problem to transfer credit for the course. Please contact the Study Service Centre.

I need statistical advice.
→ Our department offers its own statistical advice centre for these matters.

How is the grade calculated?
→ The grade in statistics is made up of an exercise grade and a lecture examination, which form an overall grade with equal weighting (50-50). Within the Quantitative Methods course, separate grades are awarded for VO and UE. For a more detailed breakdown of points, please read the information sheet for the respective course (see Onedrive platform).

How do I access the course documents (e.g. lecture slides, homework)?
→ All documents can be found in the lecture moodle course of the respective course.

How many exams are there?
→ There are a total of 3 examination attempts that can be taken. If you are unable to complete the exam within the prescribed three attempts, your exercise grade will be forfeited and you will have to make up the entire course (applies to Statistics I-IV).

Am I allowed to use a calculator during the exam?
→ Yes, you are allowed or required to bring a calculator for the exam.

Can I take the VO exam even though I have not yet completed the exercise?
→ The statistics course is an integrated course, so the exercise must be successfully completed in order to take the exam.
→ In the case of quantitative methods, the grading of the VO takes place independently of the UE, therefore, for example, the VO exam can be taken even though the exercise has not yet been positively assessed.

How many substitute homework exercises am I allowed to do in the exercise?
→ You are allowed to bring a total of 2 substitute homework exercises.

Do I need SPSS for the statistics/quantitative methods course?
→ Yes, as the content of both the lecture and the exercise includes carrying out statistical procedures in SPSS.

I need SPSS, who should I contact?
→ In this case, please write an email with your request to spss@sfu.ac.at
Further information on SPSS (instructions etc.) can be found under DEPARTMENT IT | SPSS.

How much does the SPSS licence cost?
→ SFU students receive a licence free of charge once during their Bachelor’s and Master’s studies. After this licence expires, a fee of 30€ must be paid at the IT department (ground floor, Freudplatz 1).

How long is my SPSS licence valid for?
→ An SPSS licence is valid for 12 months. To check how long your licence is valid for, open the licence authorisation wizard (search in Explorer). The validity period is noted there.

My SPSS licence has expired, who should I contact?
→ In this case, please write an email to spss@sfu.ac.at

SPSS is not working properly for me.
→ In this case, please contact our IT department (ground floor, Freudplatz 1).

I want to create an online survey. How do I get access to SoSci-Survey?
→ To create an online survey on SoSci-Survey, you need your own access account. To obtain this, please read through the account form, sign it and hand it in at the Study Service Centre of the Faculty of Psychology (Freudplatz 1, 5th floor, room 5011). As soon as we receive your form, your account will be activated and your access data will be sent to you by e-mail. The SoSci Survey platform is available to you in its entirety at https://onlinebefragungen.sfu.ac.at. If you have any questions, please contact statistics@sfu.ac.at.

SoSci terms of use and account form (PDF, in German)

What is SoSci Survey?
→ SoSci-Survey is an online platform for creating online questionnaires that can be sent via a participation link. If you would like to conduct an online survey as part of your degree programme, please submit the completed account form (see point “How do I get access to SoSci-Survey?”) If you have any additional or further questions, please contact statistics@sfu.ac.at.

You can find more information on the scope of services of SoSci Survey at: www.soscisurvey.de

Research Projects

Sexual self-concept of women in Ukraine

The purpose of this study is to provide an in-depth insight into the current sexual self-concept of Ukrainian women, taking into account the positive and negative influencing factors. This research question will be investigated using a mixed-method design by first conducting biographical interviews with Ukrainian women. The focus was placed on the parental role, the perceived parenting style and the moral concepts in the parental home. Based on the results of the interview analysis, a questionnaire was designed, which includes the latent dimensions of behaviour, needs, etc. This questionnaire is then tested for its factorial validity. This was then checked for its factorial structure and subsequently analysed using inferential statistics.

Teaching digital cultural techniques in the intergenerational context of the family

Digital technologies (e.g. the internet or smartphones) can be considered a central part of everyday life nowadays. This makes it necessary to learn how to use digital systems efficiently. People who have not grown up with digital technologies due to their age can face a particular challenge in this regard. A key resource in dealing with this challenge is support from family members.
This research project uses two sub-studies to investigate the role that younger family members play in the acquisition of digital skills by older family members. The results should help us to better understand the “family” learning environment, to analyse the learning processes of older people and to be able to support them in acquiring digital skills.

Contact for further enquiries:

Institute of Statistics
Faculty of Psychology
Sigmund Freud Private University
Freudplatz 1
A-1020 Vienna
Mail: statistics@sfu.ac.at

Contact | Team

Team

Portrait Aden Jan

Ass.-Prof. Dr. Jan Aden, MSc.

Head of the Institute for Statistics

Jan Aden is a psychologist and part of the core academic staff of the Faculty of Psychology at SFU Vienna. In this role, he initially headed the Department of Statistics and in 2019 founded the Institute of Statistics at the Faculty of Psychology, which he has headed ever since. Since completing his doctorate in the field of developmental psychology, he has also represented developmental psychology and educational psychology as a major subject in research and teaching, in addition to social science methodology.

Contact: jan.aden@sfu.ac.at

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Portrait Anastasia Bunina

Univ.-Ass.in Anastasiya Bunina, PhD

Deputy Head of the Institute of Statistics
Head of the Teaching German Language Programme Department of the Institute of Statistics

Anastasiya Bunina works at the Faculty of Psychology in Vienna and Linz as a lecturer in statistics and quantitative methods. In addition to research activities, she offers cross-faculty statistical counselling for students of the Sigmund Freud Private University and ARGE-Bildungsmanagement.
Teaching focus: Statistics, Quantitative Methods

Contact: anastasiya.bunina@sfu.ac.at

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Portrait David Seistsock

Univ.-Ass. David Seistock, MSc.

Head of the Department of Research Cooperation, Consulting and Digitisation at the Institute of Statistics

David Seistock is a psychologist and Head of the Department of Research Cooperation, Consulting & Digitisation at the Institute of Statistics. His main areas of work are teaching quantitative methodology, the implementation and methodological supervision of contract research and the development of digital teaching and research platforms in the field of quantitative methods.

Contact: david.seistock@sfu.ac.at

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Portrait Oliver Wegenberger

Oliver Wegenberger, MSc.

Head of the Department of Teaching Quantitative Methods / Statistics International Programmes of the Institute of Statistics

Oliver Wegenberger is a psychologist and is Head of the Department of Teaching Quantitative Methods / Statistics International Programmes at the Institute of Statistics of the Faculty of Psychology at the Sigmund Freud Private University of Vienna. His work focuses on quantitative methodology and business psychology. His teaching activities include statistics, quantitative methods and personnel psychology.

Contact: oliver.wegenberger@mail.sfu.ac.at

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Portrait Caroline Vavrik

Univ.-Ass. Caroline Vavrik, MSc.

Caroline Vavrik is a psychologist and works at the Institute of Statistics at the Faculty of Psychology. In addition to research and teaching activities in the field of quantitative methods and statistics, her main areas of work include the organisation and implementation of cross-faculty methodological counselling for students of all fields of study at Sigmund Freud University Vienna.

Contact: caroline.vavrik@sfu.ac.at

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Portrait Iris Enengl

Univ.-Ass. Iris Enengl, MSc.

Iris Enengl is a psychologist and works at the Institute of Statistics at the Faculty of Psychology. In addition to research and teaching activities at the Sigmund Freud University in Vienna, the organisation and implementation of cross-faculty methodological consultations for students of all fields of study at the SFU are central areas of work.
Teaching focus: statistics, quantitative methods

Contact: iris.enengl@sfu.ac.at

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Portrait Dimitrios Külzer

Dimitrios Külzer, BSc.

Dimitrios Külzer studies psychology and works at the Institute of Statistics at the Faculty of Psychology. In addition to his teaching and research activities, he is responsible for methodological counselling and statistical support for students from all faculties at SFU.

Contact: dimitrios.kuelzer@sfu.ac.at

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Lecturer

Sophie Hajek-Gattermeyer, MSc.
Contact: sophie.gattermeyer@sfu.ac.at

Sabrina Gamali, MSc.
Contact: sabrina.gamali@sfu.ac.at

Sandra Reisch, MSc.
Contact: sandra.reisch@mail.sfu.ac.at

Address

Institute of Statistics
Faculty of Psychology
Sigmund Freud Private University Vienna
Freudplatz 1, Room 6011, 6th floor
1020 Vienna
Mail: statistics@sfu.ac.at

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