Organisation New Zealand Social Statistics Network (NZSSN)
Date 11 – 15 July 2011
The New Zealand Social Statistics Network (NZSSN) is offering four five-day courses and two two-day courses in Social Science Research Methods.
The NZSSN Winter programme is designed to serve a wide variety of needs for training and professional development within the academic, public and private sectors. Courses cater not only to researchers in the social and political sciences, but also those in areas such as the behavioural sciences, medical and health sciences, epidemiology, policy research, education, economics, law, management, marketing, public relations and human resource management.
Winter Programme – 11 – 15 July 2011, Auckland
Introduction to Statistics: 11 – 15 July
Christine Miller, Department of Statistics, The University of Auckland.
An introductory course in statistical techniques with an emphasis on those applicable to the social sciences – focusing on concepts rather than mathematics.
Data Analysis Using SPSS: 11 – 15 July
Associate Professor Brian Phillips, Swinburne University of Technology.
This course provides the beginner in quantitative data analysis with the basic requirements for analysis in an SPSS computing environment, focusing on the analysis of survey, administrative and census data.
Using Mixed Methods in Research and Program Evaluation: 11 – 15 July
Dr Delwyn Goodrick, Program Evaluation Consultant.
Dr Gordon Emmerson, Victoria University of Technology, Australia.
An introductory course intended for current and emerging researchers who want to know more about using both qualitative and quantitative methods in their research activities.
Applied Computer-Assisted Qualitative Data Analysis Using NVivo: 11 – 15 July
Dr Leonie Daws, Kihi Consultancies.
A course designed for those familiar with qualitative research approaches and interested in using NVivo to assist with qualitative data analysis. The focus is on learning the NVivo data analysis toolkit through hands-on experience.
Introductory Bayesian Statistics – two-day course: 11 – 12 July
Dr Wayne Stewart, Department of Statistics, The University of Auckland.
This course is essentially an introduction to the Bayesian paradigm – covering The Bayes’ box (Discrete) using R, and WinBUGS for continuous parameters, although previous experience is not essential.
Q Methodology – two-day course: 14 – 15 July
Dr Amanda Wolf, School of Government, Victoria University of Wellington.
Over the two days we will complete a Q study from soup to nuts, with workshop participants serving as both researchers and data providers. Attention will be given to both the basic steps involved in a Q-methodology study and the foundational theory.
Venue: The University of Auckland’s Business School, 12 Grafton Road, Auckland.