Workshops and tutorials:

  • Free monthly online R tutorials are held through the Research Office Personal Development Calendar for 2020 (March to December: total 10 tutorials)
  • Free mid-month R tutorial online Q & A sessions as the follow-up supportive tutorials for the above PD program online R tutorials (2020 March to December); see the Mid Monthly Meeting section above for more details.
  • The fee-based half-day R Introductory workshop
  • The fee-based workshop on statistical power analysis using G*Power
  • The fee-based workshop on learning Bayesian Networks by hands-on practice with examples using Netica

New!!! Rasch Model Workshop

A Rasch model workshop is under development at Quantitative Consulting Unit and scheduled to be ready for delivery by the end of July 2020.

This workshop is designed to meet the needs of those researchers whose research involves measurement and assessment/test of human performance and/or attitude.   Therefore, researchers in education, health, and the social sciences disciplines are considered as the targeted potential participants. It is anticipated that this workshop would last for two days for participants who are familiar with statistical data analysis using R.  An extra day may be needed for participants who do not have experience of using R.

This three-part workshop covers a range of related topics:

  • Rasch Model workshop using R (part I): preliminaries and introduction
    • Background information about Professor Georg Rasch and the Rasch model
    • Basic concepts of measurement and evaluation/test in education, health, and the social sciences
    • Basic usage of the most popular and free statistical software R for data analysis
    • Basic/related concepts in statistics
  • Rasch Model workshop using R (part II): Item Response Theory (IRT) and Rasch models
    • Classic Test Theory (CTT), the Guttman structure, and analysis of response
    • Item Response Theory (IRT) and Rasch models
      • Item difficulty, person ability, and Item Characteristic Curve (ICC)
      • The unidimensional IRT/Rasch models for dichotomous items
      • The unidimensional IRT/Rasch models for polytomous items
      • Multidimensional IRT/Rasch models
  • Rasch Model workshop using R (part III): applications and two special topics of IRT/Rasch models
    • IRT/Rasch models and equating
    • IRT/Rasch models and Differential Item Functioning (DIF)
    • Discussion on participants’ data and application of IRT/Rasch models

Introduction to R Workshop

A three-hour workshop for a brief overview on data analysis using R

R is a free available professional statistical analysis software.  It is likely true that R is now the most popular statistical analysis software used by researchers at all levels all over the world.  More and more people are reporting their research results in the context of R in literature (e.g., professional journal articles, books, and workshop/conference presentations, etc.)  Different from the point-and-click (i.e., dropdown menu) type of the user interface statistical analysis software (such as SPSS), however, R is essentially designed for conducting analysis through inputting R scripts or command lines in the console window so that users are in full control what you are intended to do.  One of the very strength of R is in its graphical functionalities.  For various reasons, R is much less familiar or intentionally avoided by many non-statistician professionals who are not used to conducting data analysis by programming (i.e., writing command lines). This workshop first provides a brief overview on what is R and how to use R for statistical data analysis. After a brief account on the main features of R software, it is showed how to conduct statistical analyses via copy-and-paste of the R scripts into the R console window.  Various types of simple/specific analysis examples of using R are presented.   The second part of the workshop provides the information on what support is available from the Quantitative Consulting Unit (QCU) to researchers at CSU for learning/using R and offers the opportunity for the presenter to answer participants’ questions on how to learn R. This workshop is developed for promoting data analysis using R by targeting those ones who have little or no experience with R but do have basic understanding of statistics at year one undergraduate level and/or experiences of performing data analysis using other software.  If you are a confident SPSS user, you should find this workshop interesting and comprehensible.

Structure of the workshop:

1.5 hours: a very brief overview of what is R and an introduction to how to use R for statistical data analysis (mostly descriptive data analysis but with many graphs)

Morning tea break or lunch break (depending on the starting time)

1 hour:

  • what support is available from QCU to researchers at CSU for learning/using R
  • the very basic points on how to learn R

This is a fee-based workshop to ensure the people who registered for the workshop will commit himself/herself in their time and efforts for participation.  The registration fee is $50 per person and the cost of a working lunch is included. Five people is the minimum number required for running one of this workshop.  In most cases we are flexible to suit the need of the majority of the participants in terms of their preferred time and place (e.g., we are happy to travel to different campuses) for the workshop.  The workshop resource materials are available to participants only in electronic form (i.e., you can/need to download them onto your computer). If you are interested in holding or attending any of these workshops please contact we can also conduct workshops online.

G*Power workshop

The main purpose underlying statistical power analysis is to help the researchers to determine the smallest sample size that is suitable to detect the effect of a given test at the desired level of significance.  Developed at the Institute for Experimental Psychology in Dusseldorf Germany, the free software G*Power was designed as a general stand-alone power analysis program for statistical tests commonly used in disciplines such as agriculture, animal studies, health science, social and behavioral research, etc.  Power analysis is often intentionally or unintentionally ignored because it involves several statistical concepts which may not be necessarily straight forward to understand and the power analysis formula is very model specific.  G*Power provides an effective and very user-friendly solution for promoting the application of power analysis as part of the routine statistical data analysis procedure.  It offers a wide variety of calculations related to power analysis along with graphics and protocol statement outputs.  The actual teaching and learning time is five hours divided into three sessions.  The workshop program details are as follows.

  • 9:30am – 10am: registration and morning tea
  • 10am – 12pm: learning and practice session 1 – attendees install the GPower software onto their laptop computers; basic concepts of statistical power analysis will be introduced; a first touch with GPower; apply GPower to perform power analysis for five different statistical models.
  • 12pm – 1pm: the lunch hour
  • 1pm – 2:30pm: learning and practice session 2 – attendees continue to learn and practice power analysis using GPower for six more statistical models including the ANOVA model with more than two categorical factors.
  • 2:30pm – 3pm: afternoon tea break
  • 3pm - 4:30pm: learning and practice session 3 – attendees continue to learn and practice power analysis using GPower for five more statistical models including a simple repeated measure regression model case.
  • 4:30pm: close of the workshop

The GPower user manual (both the hard copy and the electronic copy) will be prepared for the attendees for the workshop.

Quantitative Consulting Unit (QCU) runs this one-day hands-on practice workshop for learning power analysis using GPower 3.1 from time to time based on the request from the researchers (HDR students and staff members) at CSU. It is a fee-based workshop for the purpose that anyone who would register and pay for the workshop is most likely to commit him/her time and effort for the expected learning outcomes. This is a fact-to-face workshop and we will run the workshop as sketched above with minimum two confirmed attendees. The upper limit of the number of attendees for each workshop is 10 for a better learning and practice result.  We are flexible in running this one-day workshop multiple times and on different campus as long as the demand requires.

Please send us your Expression of Interest by email: or talking to us about your request by phone: 02-69332223 (Coral) or 02-69332229 (John).

Bayesian Network workshops

Bayesian Network (BN) is an intuitive, graphical representation of a joint probability distribution of a set of random variables with a possible mutual causal relationship. BN is a machine-learning data analysis technique and BN modelling approach complements the traditional statistical data analysis approach in overcoming the curse of dimensionality and naturally capturing the independence and dependence relationships among model variables.  Netica is the most widely used BN software in the world. If you can use Microsoft Word and Excel confidently in your work, you will be able to learn Bayesian Networks using Netica.  It is the conditional probability and hierarchical structure matter in modelling a complex real life problem and BN is one of the most suitable and powerful tools to do it. This 90-minute presentation will (intends to) cover the following topics:

  • Concepts and definitions about what is a Bayesian Network (BN); a very brief introduction to the theoretical basis of a BN model.
  • Demonstration of various BN applications through 10 examples (from the simplest toy example to some examples which are based on real life data sets) using Netica.
  • An overview introduction to a 3-day workshop on Learning BNs by Hands-on Practice with Examples.

A 3-day workshop (Wagga campus) on learning and application of Bayesian Network models (Bayes net and decision net models, and Dynamic Bayesian Network models) is available now: the workshop is designed/developed for maximizing the hands-on experiences in learning BNs from examples and keep the theoretical preliminary requirements / theoretical exposition to the minimum.   The goal is to establish participants’ ability to build BN models for solving the problems from their research or professional activities.

This is a fee-based workshop. For the workshop that is run on Wagga campus, Cost: $300 (including GST) per person for CSU student and staff, or DPI staff; $1,200 (including GST) per person for other participants (including morning tea, light lunch, and afternoon tea each day). For logistics reason, the workshop run on other campuses will be slightly modified to a 2.5-day workshop.  Cost: $200 (including GST) per person for CSU student and staff, or DPI staff; $800 (including GST) per person for other participants (morning tea, light lunch, and afternoon tea will be provided for the first two days; morning tea only for the third day).


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