Line chart and bar graph under magnifying glassDevelop essential skills to analyse quantitative social data

This course is designed to provide participants with the essential skills to analyse and interpret quantitative (numeric) social data. Participants will develop an understanding of the appropriate statistical techniques to use for different types of research questions and different types of data and importantly how to make inferences and interpret results.

This course is recommended for people who need to conduct their own analysis of numerical social data or those who need to read and understand research conducted by others. This course covers some introductory and mainly intermediate statistical techniques. It is recommended for those who have some familiarity with the basics of statistical analysis, who want to deepen their understanding of statistical analysis. The course is also a refresher for those who need to consolidate their statistical knowledge before progressing to more advanced methods.

Next course: Wednesday 21 November to Friday 23 November 2018 (3 days)


$1,950 (excl. GST) 
$1616 (excl. GST) Early Bird discount (book and pay by 21 October 2018 )
$1560 (excl. GST) Groups (3 or more)
$1463 (excl. GST) Students

Topics covered: 

  • Understanding and testing for statistical significance
  • Assessing relationships using Chi square, t-tests, ANOVA
  • Introduction to linear regression models
  • Data visualisation

At the end of this short course, participants should be able to:

  • Understand why and how to test for statistical significance
  • Know the appropriate statistical tests to use in different situations and with different types of data
  • Read and interpret the results of statistical tests and output
  • Critically review the use of statistics in reports and published papers

Presenter: Dr Yangtao Huang is an applied social statistician and has extensive experience in universities and international organisations. He provided statistical analysis for the Organisation of Dr Yangtao HuangEconomic Cooperation and Development (OECD), and contributed statistical expertise to a number of commissioned research projects for government agencies. He worked as a statistical analyst in the New South Wales Government Department of Education’s program on student engagement research and analysis. He was a statistical consultant in an ARC Linkage project on understanding student perceptions of feedback to improve their learning outcomes. In addition, he is a Chief Investigator on a Catholic Education Grant examining the complex relationships between family background, school practices, student engagement and achievement.

Yangtao also brings his statistical expertise to a wide range of teaching and service roles. He coordinates a research methods course for the University of Queensland School of Social Science, and teaches applied quantitative research methods at the undergraduate and postgraduate level at the University of Queensland and Australian Catholic University. He coordinates the Statistical Consultation Services at Institute for Social Science Research, and provides statistical advice to lecturers, research fellows and PhD students across university departments in Australia.

Course advisor: Dr Wojtek Tomaszewski is an international scholar who joined ISSR from the National Centre for Social Research in Dr Wojtek TomaszewskiLondon (UK) and leads research on education and disadvantage as a Group Leader at the Institute for Social Science Research.  Wojtek’s expertise is in quantitative research methods and advanced statistical analysis, and his research interests include education, employment, poverty and social exclusion. He brings invaluable international insight from his roles as Senior Analyst in the Income and Work team at the Centre for Social Research in London, and as a Researcher in TNS Poland’s Research Methods Unit in Warsaw.

Wojtek has managed a number of advanced statistical and research projects for government agencies both in Australia and overseas, including leading the research for the UK Department for Work and Pensions that used Structural Equation Modelling (SEM) to investigate the links between the attitudes of unemployed, sole parents and their likelihood of returning to work. He is currently managing a productive research collaboration with the New South Wales Department of Education to build their data capabilities, valued at just under $1m. He has also managed large scale data collections, such as those undertaken for the $500,000 Dad and Partner Pay project and the $900,000 Millennium Mums survey for the Australian Department of Social Services. Wojtek is a member of the research committee on Social Stratification and Mobility for the International Sociological Association and was a member of the advisory panel for the Analysis of Life Chances in Europe at the University of Essex.  

Next course: Wednesday 21 November to Friday 23 November 2018 (3 days)

Course location: Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

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