Our Workshops


This page gives general descriptions of some of the workshops that we currently present. Please note that content may vary slightly between workshops and that for an accurate description of the material for a specific workshop that you should refer to that workshop's description on our Upcoming Workshops page.

> Click here to see a list of our upcoming workshops.

> Click here to see a full list of previously offered workshops.

Email List

If you sign up to our workshops email list, you will receive approximately one email per month from us with information about upcoming workshops. You may also choose to receive emails about upcoming webinars. For more information on our webinars, please visit Our Webinars page.

> Click here to receive emails about our upcoming workshops.


A Gentle Introduction to Statistics in SPSS and R

For many people the field of statistics can be incredibly daunting. This workshop is designed as a gentle introduction to the field of statistics, where absolutely no prior knowledge of statistics is assumed. Workshop participants will also be introduced to two of the most popular statistical software packages, SPSS and R (participants can choose which package they would like to use during individual hands-on exercises throughout the workshop).

This workshop is intended for non-statisticians wishing to develop a solid foundation in the use of these techniques. No prior knowledge of statistics is assumed. Participants will also be introduced to SPSS and R, where no prior knowledge of these software packages is also assumed.

> Click here for more information.

Previously Offered

2018

  • Jul 10–11 (Perth)

2017

  • Feb 15–16 (Brisbane)

2016

  • Nov 24–25 (Perth)
  • Mar 29–30 (Brisbane)

2015

  • Apr 7–8 (Sydney)
  • Feb 18–19 (Brisbane)

2014

  • Jul 12–13 (Perth)
  • Feb 21–22 (Brisbane)
  • Feb 9–10 (Melbourne)
  • Jan 28–29 (Sydney)

2013

  • Nov 14–15 (Adelaide)
  • Feb 14–15 (Sydney)
  • Feb 4–5 (Sydney)

2012

  • Dec 4–5 (Perth)
  • Nov 22–23 (Brisbane)
  • Sep 29–30 (Canberra)
  • Sep 15–16 (Adelaide)
 

Introduction to Linear and Logistic Regression

In this workshop we will explore the foundation for linear and logistic regression. Workshop participants will be introduced to these statistical concepts using one of three popular statistical software packages: SPSS, Stata, and R.

This workshop is intended for non-statisticians wishing to develop a solid foundation in the use of these techniques. A basic knowledge of statistics is assumed, but participants need not have a prior knowledge of linear or logistic regression.

> Click here for more information.

Previously Offered

2018

  • Jul 14–15 (Perth)

2017

  • Feb 20–21 (Brisbane)

2016

  • Nov 28–29 (Perth)
  • Apr 2–3 (Brisbane)

2015

  • Apr 11–12 (Sydney)
  • Feb 22–23 (Brisbane)

2014

  • Jul 16–17 (Perth)
  • Feb 25–26 (Brisbane)
  • Feb 13–14 (Melbourne)
  • Feb 1–2 (Sydney)

2013

  • Nov 18–19 (Adelaide)
  • May 11–12 (Brisbane)
  • Feb 18–19 (Sydney)
  • Feb 10–11 (Sydney)

2012

  • Sep 19–20 (Adelaide)
  • Apr 10–11 (Brisbane)
  • Feb 10–11 (Perth)
  • Feb 2–3 (Perth)

2011

  • Nov 24–25 (Adelaide)
  • Nov 10–11 (Adelaide)
  • Sep 21–22 (Melbourne)
  • Sep 3 (Sydney)
  • Aug 27 (Canberra)
 

Introduction to Longitudinal Data Analysis

In this workshop we will examine the theory of longitudinal data analysis and the handling of missing data. Workshop participants will be introduced to these statistical concepts using one of three popular statistical software packages: SPSS, Stata, and R.

This workshop is intended for non-statisticians and statisticians new to the field of longitudinal data analysis.  A basic knowledge of linear regression is assumed.

> Click here for more information.

Previously Offered

2018

  • Jul 18–19 (Perth)

2017

  • Feb 24–25 (Brisbane)

2016

  • Dec 2–3 (Perth)

2015

  • Apr 18–19 (Sydney)
  • Feb 26–27 (Brisbane)

2014

  • Jul 20–21 (Perth)
  • Mar 3–4 (Brisbane)
  • Feb 17–18 (Melbourne)
  • Feb 5–6 (Sydney)

2013

  • Jul 14–15 (Canberra)
  • Jul 2–3 (Adelaide)
  • May 18–19 (Brisbane)
  • Feb 26–27 (Sydney)
  • Feb 22–23 (Sydney)

2012

  • Apr 14–15 (Brisbane)
  • Feb 14–15 (Perth)
  • Feb 6–7 (Perth)

2011

  • Nov 28–29 (Adelaide)
  • Nov 14–15 (Adelaide)
  • Sep 27–28 (Melbourne)
  • Sep 4 (Sydney)
  • Aug 28 (Canberra)
  • Jul 22 (Toowoomba)
 

Introduction to Structural Equation Modelling

This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given.

This course is designed as an introductory course for applied researchers and as such, is suitable for participants who want to develop a fundamental knowledge of SEM techniques. Some participants may want to follow this course by the applied and advanced SEM workshops taught by ACSPRI.

> Click here for more information.

Previously Offered

2017

  • Oct 30–31 (Melbourne)

2015

  • May 9–10 (Brisbane)
 

Introduction to Survey Design A

Within this workshop we cover: how to minimise the differences between the target population (the members of a population that we ideally want to collect data on) and the sampling frame (those members that we actually can collect data on), survey sampling (the random selection of members from the sampling frame to include within a particular survey), data collection methods (how to choose between methods such as telephone, mail, and face-to-face interviews for a particular survey), and interview techniques (how to structure an interview to minimise potential bias introduced by the interviewer).

> Click here for more information.

Previously Offered

2014

  • Sep 28–29 (Brisbane)

2012

  • Jun 28–29 (Melbourne)
  • Jun 21–22 (Sydney)
 

Introduction to Survey Design B

Within this workshop we cover: how to design the questions for a survey (considering factors such as ambiguity, memory problems, and participant sensitivity), how to evaluate the questions (gathering data from the population about the use of a proposed survey), data pre-processing (the steps involved between data collection and statistical analysis), and the issue of missing data (both how to minimise it during data collection and how to reduce biases during data analysis).

> Click here for more information.

Previously Offered

2014

  • Oct 2–3 (Brisbane)

2012

  • Dec 8–9 (Perth)
  • Nov 30 – Dec 1 (Canberra)
  • Oct 27–28 (Brisbane)
  • Oct 20–21 (Sydney)
  • Oct 13–14 (Melbourne)

A Gentle Introduction to Statistics using SPSS and R

This workshop is designed as a gentle introduction to the field of statistics, where absolutely no prior knowledge of statistics is assumed. The workshop will cover the role of statistics in academic research, the different types of variables, simple graphs for viewing a dataset, an overview of statistical tests and p-values, a flowchart for identifying which statistical method to use for particular research questions, t-tests and chi-squared tests, the importance of testing assumptions made by statistical tests, non-parametric statistics (such as the Mann-Whitney test), a brief overview of linear and logistic regression, and a very brief overview of more advanced statistical methods.

Introduction to Linear and Logistic Regression

In this workshop we will explore the foundation for linear and logistic regression. The workshop will cover the fundamental equations for linear and logistic regression, the assumptions that need to be checked when performing regression (linearity, normality, constant variance, no outliers), multiple regression and the effect of confounders, variable selection (choosing which variables to select for a linear regression model), the differences between linear and logistic regression, interpreting the regression coefficients for logistic regression, nominal and ordinal regression, and Poisson regression (for count variables).

Introduction to Longitudinal Data Analysis

In this workshop we will cover the differences between independent, clustered, and longitudinal data, a review of linear regression and Analysis of Variance, Mixed Effects models, hierarchical and multi-level models, Generalised Estimating Equations, the problem with missing data in longitudinal studies, and Multiple Imputation.

Introduction to Survey Design A

Within this workshop we cover: how to minimise the differences between the target population (the members of a population that we ideally want to collect data on) and the sampling frame (those members that we actually can collect data on), survey sampling (the random selection of members from the sampling frame to include within a particular survey), data collection methods (how to choose between methods such as telephone, mail, and face-to-face interviews for a particular survey), and interview techniques (how to structure an interview to minimise potential bias introduced by the interviewer).

Introduction to Survey Design B

Within this workshop we cover: how to design the questions for a survey (considering factors such as ambiguity, memory problems, and participant sensitivity), how to evaluate the questions (gathering data from the population about the use of a proposed survey), data pre-processing (the steps involved between data collection and statistical analysis), and the issue of missing data (both how to minimise it during data collection and how to reduce biases during data analysis).

Introduction to Structural Equation Modelling

In this workshop we will cover the foundations of SEM (including correlation, regression, latent and measured variables), the stages of fitting an SEM model (specification, identification, estimation, testing, and modification), assessing model fit, fitting a number of models using SEM (including regression models, path models, confirmatory factor analysis, multilevel models and latent growth models), and advice on reporting SEM results.

Previously Offered

YEAR

  • DATE (PLACE)