Social Research Methods and Technology – Short Course Summer Programme

Organisation New Zealand Social Statistics Network (NZSSN)

Town Wellington

Date 8 – 19 February 2010

The New Zealand Social Statistics Network is offering the following short courses at the School of Government, Victoria University of Wellington.

The short courses are designed to cater to fundamental, changing and emerging research strategies, and 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 to 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.

Week One

INTRODUCTION TO STATISTICS: 8 – 12 February 2010
Dr Wiremu Solomon, Departments of Mathematics and Statistics, The University of Auckland

An introductory course in statistical techniques with emphasis on applications in the social sciences.

QUALITATIVE RESEARCH TECHNIQUES: 8 – 12 February 2010
Dr Delwyn Goodrick, Program Evaluation Consultant

An introductory course of lectures and practical workshops, designed for those with no background in research and/or no previous experience with qualitative techniques of data collection and analysis.

CASE STUDY RESEARCH: 8 – 12 February 2010
Professor Helen Simons, Professor of Education and Evaluation, University of Southampton, UK

An introductory course exploring the theory and practice of case study as a research approach for understanding and evaluating the complexity and dynamics of innovative programs and organisations.

INTRODUCTION TO STRUCTURAL EQUATION MODELLING USING AMOS: 8 – 12 February 2010
Associate Professor Everarda Cunningham, Swinburne University of Technology

An applied course in using Structural Equation Modelling (SEM), taught in SPSS’s AMOS™ software. SEM is used to find and test complex relationships among observed and latent variables.

ADVANCED ANALYSIS OF LINKED HEALTH DATA: 8 – 12 February 2010
Professor D’Arcy Holman, University of Western Australia

A course designed to instruct participants in the theory and practice of analysis of large sets of linked administrative health data at an advanced level. Theoretical grounding and hands-on lab exercises.

Week Two

DATA ANALYSIS IN SPSS: 15 – 19 February 2010
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 environment, focusing on the analysis of survey, administrative and census data.

INTERMEDIATE STATISTICS: 15 – 19 February 2010
Mr Mike Forster, Department of Statistics, The University of Auckland

An introduction to the statistical computing package R, a review of the concepts of statistical inference from Introduction to Statistics, and case studies in statistics.

INTRODUCTION TO NVivo: 15 – 19 February 2010
Dr Leonie Daws, Principal Consultant, 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 through hands-on experience.

INTRODUCTION TO PROGRAM EVALUATION: 15 – 19 February 2010
Dr Delwyn Goodrick, Program Evaluation Consultant

A course designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs.

INTRODUCTION TO SURVEY DESIGN: 15 – 19 February 2010
Dr Gordon Emmerson, Victoria University of Technology

An introductory course covering the underlying theory and best practice in quantitative survey design.

RESEARCH SYNTHESIS FOR POLICY AND PRACTICE: 15 – 18 February 2010 (Wellington); 22 – 25 February 2010 (Auckland)

Professor David Gough, EPPI-Centre, University of London (4-day course)
Systematic reviews can address a broad range of research questions, and research reviews, and like all research projects, they must be appraised for strengths and weaknesses.

For more information and/or to enrol, please visit www.nzssn.org.nz or email courses@nzssn.org.nz

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