The Statistical Consulting Centre in the National Institute of Applied Statistics Research Australia, School of Mathematics and Applied Statistics provides postgraduate students and staff members of the University of Wollongong with statistical consulting assistance for research.

Director: Professor Marijka Batterham

UOW SCHOLARS

Phone: +61 2 4221 8190
Email: marijka@uow.edu.au
Location: Building 39C Room 268

Consultant: Brad Wakefield

Emailbradleyw@uow.edu.au
Location: Building 39C Room 269

Aim

The service aims to improve the statistical content of research carried out by members of the University. Researchers from all disciplines may use the Centre. Priority is currently given to staff members and postgraduate students undertaking research for Doctor of Philosophy or Masters' degrees. The centre does not provide consulting support for honours students.

How we can help

It is important that University researchers consult the Centre at the beginning of their investigation, so that their research will include clear research hypotheses and well-designed data collection processes as these are basic to any analysis.

The assistance provided by the Statistical Consulting Centre includes advice on:

  • The planning of experiments,
  • Designing questionnaires,
  • Data collection,
  • Data entry and management,
  • Statistical analyses,
  • The presentation of results.

Planning the data gathering process is crucial to research, and consulting with the Statistical Consulting Centre at this stage will reap the most reward.

Currently the Statistical Consulting Centre provides each University researcher with a free initial consultation. Up to ten hours per calendar year of consulting time maybe provided without charge if research funding is not available. When researchers require more consulting time, or receive external funding, a service charge is necessary.

The Statistical Consulting Centre can arrange for later data entry and statistical analyses for those who wish to pay for these services rather than do the work themselves.

MAKE AN APPOINTMENT

Short courses

This one day workshop provides an introduction to SPSS. The workshop covers data manipulation, visualisation and analysis.  

Target audience

postgraduate students/staff who have previously completed an introductory statistics or data analysis subject and are planning to collect and manipulate, visualise and/or analyse data using SPSS.

Course outline

The course includes:

  • Data manipulation
    • importing data
    • defining variables
    • computing new variables
    • saving data and output
  • Visualisation
  • Inference/modelling
    • crosstabulations
    • t tests
    • correlation
    • linear regression  

Please be aware that this workshop teaches the computing not statistics, it is assumed you have previous knowledge of basic statistics for the modelling session.

 

Instructor

Professor Marijka Batterham and Brad Wakefield, National Institute of Applied Statistics Research Australia. 

For more information on the workshop please contact Marijka Batterham marijka@uow.edu.au or Brad Wakefield bradleyw@uow.edu.au.

This is a face to face workshop, if you are requiring an online option or if the course is full and you want to be placed on a waiting list, please contact karink@uow.edu.au, an online version will be conducted at a later time if there is the demand.

Time

TBD

Venue

TBD

Cost

A charge of $110 (or $100 from an internal account).

R is a widely used free statistical programming language. This one day workshop provides an introduction to R and its use through RStudio. The workshop covers data manipulation, visualisation and analysis.

Target audience

postgraduate students/staff who have previously completed an introductory statistics or data analysis subject and are planning to collect and manipulate, visualise and/or analyse data using R/RStudio. 

Course outline

The course includes:

  • Data manipulation
    • importing data
    • defining variables
    • computing new variables
    • saving data and output
  • Visualisation
  • Inference/modelling
    • proportions
    • crosstabulations
    • t tests
    • ANOVA
    • correlation
    • linear regression  

Please be aware that this workshop teaches the computing not statistics, it is assumed you have previous knowledge of basic statistics for the modelling session.

Instructor

Brad Wakefield and Professor Marijka Batterham, National Institute of Applied Statistics Research Australia. 

For more information on the course please contact Marijka Batterham marijka@uow.edu.au or Brad Wakefield bradleyw@uow.edu.au.

This is a face to face workshop, if you are requiring an online option or the course is full and you wish to be placed on a waiting list, please contact karink@uow.edu.au, an online version will be conducted at a later time if there is the demand.

Time

TBD

Venue

TBD

Cost

A charge of $110 (or $100 from an internal account).

NOTE

You must bring your own laptop to the course with R and RStudio installed. They are both FREE and Instructions will be provided prior to the course.

Jamovi is an easy-to-use FREE menu driven statistical package that integrates with R. Jamovi is an ideal introductory data analysis package. This one day workshop provides an introduction to Jamovi and how to perform data manipulation, visualisation and analysis. 

Target audience

postgraduate students/staff who have previously completed an introductory statistics or data analysis subject and are planning to collect and manipulate, visualise and/or analyse data. 

Course outline

The course includes:

  • Data manipulation
    • importing data
    • defining variables
    • computing new variables
    • saving data and output
  • Visualisation
  • Inference/modelling
    • proportions
    • crosstabulations
    • correlation
    • linear regression  

Please be aware that this workshop teaches the computing not statistics, it is assumed you have previous knowledge of basic statistics for the modelling session.

Instructor

Brad Wakefield and Professor Marijka Batterham, National Institute of Applied Statistics Research Australia. 

For more information on the course please contact Marijka Batterham marijka@uow.edu.au or Brad Wakefield bradleyw@uow.edu.au.

This is a face to face workshop, if you are requiring an online option or the course is full and you wish to be placed on a waiting list, please contact karink@uow.edu.au, an online version will be conducted at a later time if there is the demand.

Time

TBD

Venue

TBD

Cost

A charge of $110 (or $100 from an internal account).

NOTE

You must bring your own laptop to the course with Jamovi installed. Instructions will be provided prior to the course.

This is a unique entry level short course specifically designed to teach the basics of data science and machine learning with applications in the health and social sciences.

Course outline

Data science and machine learning represent an overlap of statistics, computer science and domain expertise and are increasingly becoming integral in research applications based on health and social data. The combination of statistics and computer science, allows machine learning methodology to take advantage of the strengths of both areas yielding methods that have some advantages over statistical analysis and computational algorithms on their own. The course will cover the most in demand data science and machine learning methods for both supervised (regression, classification and regression trees, neural nets and support vector machines) and unsupervised learning (clustering). Participants will learn how to choose the appropriate method, and how to analyse and interpret the results using a free interface to the popular data science and statistical package R. 

Contact: karink@uow.edu.au to register or click the following button to book 

book and make a payment

 

Instructor

Professor Marijka Batterham, Professor Alberto Nettel-Aguirre, and Brad Wakefield

Dates

Tuesday and Wednesday, 19 & 20 July, 2022 

Time

10.00 am - 4.00 pm

Location

Room 40.122, UOW campus

Introductory cost

$220

Contact: marijka@uow.edu.au for additional course information