The Quantitative Consulting Unit (QCU) is part of the Research Office at Charles Sturt University that provides statistical support to research students and staff across the University.

QCU's core statistics support services include:

    General consultancy on statistical theory and application related to research problems

    Tutorials/training for learning and using analysis software such as R, SPSS, G*Power3.1, @Risk and Netica

    Advice on, support to, and completion of statistical analysis needed from research projects

    Workshops for HDR students and researchers to enhance their statistical skills in special topics such as design and analysis of experiment, statistical graphics, and Bayesian Networks.

Through the QCU research Honours, Masters and PhD students are offered a free initial consultation to provide a kick-start to their research to ensure that they embark on a path that will lead to successful completion of their research.  Subject to the terms and conditions specified in QCU's service policy, further assistance is available to meet various needs for statistics support throughout the whole process of their research studies.  CSU staff researchers are also entitled receiving QCU's statistics support services as detailed in our service policy.

The QCU also runs statistics workshops/tutorials - if you are a CSU student or staff member doing research and wishing to update your quantitative statistical skills, these workshops/tutorials could be just what you need. If you are external to CSU you are welcome to attend, to register your interest in our workshops, please email the QCU Administrator - qcu@csu.edu.au


*** Latest News***

Bi-Monthly Meeting

A three-hour mid-month R tutorial online Q & A session will be run between the monthly cRow meetings to help beginner R users who participated in the R tutorials.
Our next mid-month R tutorial online Q & A session, to be confirmed.
Participants will be invited to attend a Bridgit meeting accompanied with an ad hoc teleconference meeting so that you may dial in the extension number 32229 to talk with John at the same time if necessary.

Staffing changes

It is with great pleasure that the QCU would like to announce that we have filled the position of Statistician, Dr John Xie has now commenced and is learning his way through what we do. The QCU is now back to full capacity for providing a wide range of statistical assistance that you may require.  Keep an eye on this website for any further news and/or upcoming workshops.  Coral Moffat (Admin Assistant Monday and Friday only) 02 6933 2223 is available for any questions/queries.

Modified QCU service Policy

(Effective 1st September 2017)

QCU provides a free (30-minute session) initial consultation service which may lead to

1.Further paid consultation services - $150 per hour (if necessary an extra free (30-min.) consultation session is available for further confirming the terms and conditions of the consulting services)


2. Further free collaboration services (subject to an upper limit of the service hours allocated for each case) requiring co-authorship/ownership of research publications/outcomes

  •   A time limit (per case) available for the free services will be as follows:

10 hours for honours and masters students;

20 hours for doctoral candidate students;

20 hours for staff members. 

Service priority will be applied in the order of:

Masters by research and Doctoral students (first priority);

Staff members (second priority); and

Masters by course and Honours students (third priority).

  • Any consultation time which exceeds the limit may be charged at $75 per hour unless an exemption is granted by the Research Office (subject to the availability of QCU's consulting resources). 

Only the time directly related to the consulting services is counted as 'consulting hours' – for example, the time spent with the client in phone-call or email communications or in face-to-face meetings, and time spent on performing data treatment and/or analysis and/or presenting the analysis outcomes; time spent on background reading, finding reference materials or familiarisation with or learning specific topics related to the consulting problem normally will not be counted.

  1. Understanding and defining the research problem(s) qualitatively and quantitatively so that relevant information/data are collected and analysed using the most suitable analysis methodology are essential for students at all levels.   The use of QCU's services (free or paid) should not become an excuse for students not being able to understand and/or interpret their research outcomes/findings – if so, this may seriously compromise the integrity of their academic assessment outcomes.  Therefore, under their supervisor's guidance, students should try their best to build up their own ability in performing valid data analyses and correctly interpreting their analysis results with the help of QCU's services.


Next cRow meeting 

R is a free powerful open source programming language for statistical computing, data analysis and graphical visualization that that operates on all operating systems. Among R's strengths are its built-in tools for inferential statistics, its compact modelling syntax and its data visualisation capabilities – it produces fully-customisable, publication-quality graphics. In addition, R's open source nature and its add-on "packages" have allowed it to keep up with the leading edge in academic research. For all its strengths, though, R has an admittedly steep learning curve; the first steps towards learning and using R can be challenging.

Our next cRow meetings will be held on Monday November 6 Please contact me for the location and time, or if you would like to be kept informed of when these meetings are happening please send an email to cmoffat@csu.edu.au where your name will be added to the emailing list for this group.  The meetings are held once a month days and times will vary.  Keep an eye on this page meetings will run for 2-3 hours.

LaTeX Users Group (LUG) Meetings

LaTeX is a free powerful open source document preparation system that is widely used amongst the scientific research community. More and more LaTeX is being used by people who need to write documents that include complex non-Latin scripts or people who simply want to produce professional documents. LaTeX offers authors ready-made commands for common requirements such as chapter headings, footnotes, cross-references and bibliographies (and it can be used in conjunction with your EndNote library). That LaTeX is also the choice of people working in mathematical disciplines, because it has capabilities in mathematical typesetting that leave standard word-processing facilities for dead. For all its strengths, though, LaTeX has an admittedly steep learning curve; the first steps towards learning and using LaTeX can be challenging.

  • hear talks on LaTeX -related topics
  • share knowledge and experience
  • provide LaTeX beginners with an opportunity to meet more experienced users
  • support one another to learn how to use LaTeX effectively and efficiently

This group is for anyone who is currently using LaTeX, trying to learn how to use LaTeX or someone who thinks that LaTeX might provide a solution to their document preparation needs.

To this end, the CSU LaTeX User's Group has been formed and is dedicated to bringing together LaTeX users to exchange knowledge and inspire new users and will be meeting monthly both online and face-to-face in Wagga. All research candidates, other staff and students are very welcome to attend these meetings. The meetings will be either face to face or via Bridget and teleconference.

Our next LaTeX meeting will be on Monday November 6, please contact Coral Moffat on 69332223 (Mon or Fri) or email cmoffat@csu.edu.au if you would like to be added to our email list please let me know.


Workshops and tutorials:

  • In the second session of each cRow meeting, a free one-hour tutorial of how to use R for statistical data analysis for beginner R users will be offered
  • Mid-monthly R Tutorial participants drop in session via Bridget meeting to provide guidance/answer/support/help to questions in using R for statistical analysis. Starting from 17 October (Tuesday). If you require any further information please contact us.
  • The fee based workshop on design and analysis of experiment using R and G*Power is expected to be ready by the end of November or early December
  • The fee based workshop on learning Bayesian Networks by hands-on practice with examples using Netica is expected to be ready  in early 2018


New: FREE Power analysis software.

The free power analysis software G*Power3.1 and its user manual are now available located under the resource tab.

The power of any test of statistical significance is defined as the probability that it will reject a false null hypothesis. Alternatively, the statistical power is defined as the probability of NOT committing a Type II error (which does not reject the null hypothesis when it is false).  Power analysis is normally conducted before the data collection.  The main purpose underlying power analysis is to help the researcher to determine the smallest sample size that is suitable to detect the effect of a given test at the desired level of significance.   G*Power was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. 

 G*Power3.1 offers five different types of statistical power analysis:

1. A priori (sample size N is computed as a function of power level 1 − β, significance level α, and the to be detected population effect size)

2. Compromise (both α and 1 − β are computed as functions of effect size, N, and an error probability ratio q = β/α)

3. Criterion (α and the associated decision criterion are computed as a function of 1− β, the effect size, and N)

4. Post-hoc (1− β is computed as a function of α, the population effect size, and N)

5. Sensitivity (population effect size is computed as a function of α, 1 − β, and N)