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New Zealand Social Statistics Network (NZSSN) Short Courses in social science research methods, Wellington Nov-Dec 2017 & Auckland Feb 2018

Course Type: 
Short course

 

NZSSN assists in the development of quantitative social science research in the academic, government, and private sectors. NZSSN's intent and activities are based on those of Australia's ACSPRI. Our core business is the running of short courses in social science research methods. 

Our next planned programmes of courses are planned for November 2017 in Wellington and February 2018 in Auckland. We have a new enrolment and payment system through the University of Auckland! The courses we have on offer are listed below. Click on a course for more information and to enrol.

As ever, we rely on enrolment numbers to actually run courses, so these may not end up going ahead. Please enrol early so that we know the position we are in.

And for enquiries on anything related to NZSSN, please email courses@nzssn.org.nz

Courses

INTRODUCTION TO STATISTICS: WELLINGTON 20–24 November 2017 / AUCKLAND 12–16 February 2018

Instructor: Liza Bolton, Department of Statistics, the University of Auckland

A course in statistical techniques with an emphasis on the social sciences, focusing on concepts rather than mathematics.

 

QUALITATIVE RESEARCH TECHNIQUES: WELLINGTON 27 November – 1 December 2017 / AUCKLAND 12–16 February 2018

Instructor: Dr Delwyn Goodrick, Programme Evaluation Consultant

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

 

APPLIED STATISTICAL PROCEDURES: WELLINGTON 20–24 November 2017 / AUCKLAND 19–23 February 2018

Instructor: Dr Gordon Emmerson, Honorary Fellow, Victoria University, Melbourne

A course giving a good overview of statistical procedures in one place, from Chi-Square to Factor Analysis, defining research methodologies to enable participants to match their research design with their research needs.

 

MIXED METHODS IN SOCIAL RESEARCH: WELLINGTON 27 November–1 December 2017 / AUCKLAND 12–16 February 2018

Instructor: Dr Gordon Emmerson, Honorary Fellow, Victoria University, Melbourne

A course for researchers who want to know more about using both qualitative and quantitative methods in their research.

 

SPSS FOR RESEARCHERS: WELLINGTON 27–29 November 2017 / AUCKLAND 12–14 February 2018 (3 DAYS)

Instructor: 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/or census data.

 

INTRODUCTION TO R: WELLINGTON 23–24 November 2017 / AUCKLAND 15–16 February 2018 (2 DAYS)

Instructor: Kevin Chang, Department of Statistics, the University of Auckland

A course in statistical methods using R, with alternating lecture and lab sessions – skills are applied right after being learnt.

 

QUESTIONNAIRE DESIGN: WELLINGTON 27–29 November 2017 / AUCKLAND 19–21 February 2018 (3 DAYS)

Instructor: Lyn Kaye

A course covering things to think about it in designing questions, and considering a wide range of purposes and modes of delivery, including large scale surveys, both mail and web-based; structured interviews; focus groups; and feedback surveys.

 

PROGRAMME EVALUATION: SUPPORTING EVIDENCE-INFORMED PRACTICE: WELLINGTON 22–24 November 2017 / AUCKLAND 19–21 February 2018 (3 DAYS)

Instructor: Dr Delwyn Goodrick, Programme Evaluation Consultant

For public sector workers and academics interested in commissioning, managing or conducting evaluations of public policy or programmes.

 

ONE LOCATION ONLY

 

STRUCTURAL EQUATION MODELLING USING AMOS: WELLINGTON 27–30 November 2017 (4 DAYS)

Instructor: Dr Nichola Shackleton, COMPASS Research Centre, the University of Auckland

An applied course in using Structural Equation Modelling (SEM), which is used to find and test complex relationships among observed and latent variables.

 

INTRODUCTION TO SOCIAL NETWORK ANALYSIS: AUCKLAND 19–22 February 2018 (4 DAYS)

Instructor: Associate Professor Malcolm Alexander, School of Humanities, Griffith University, Queensland

This course introduces information and data collection methods used by social scientists working on social networks.

 

INTRODUCTION TO STATA: AUCKLAND 19–23 February 2018

Instructor: Jo Dipnall, CogNETive

Providing participants with understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool. Stata is a comprehensive integrated package for data management, analysis and graphics.

 

VHIN INTRODUCTION TO HEALTH RESEARCH IN THE IDI: AUCKLAND 16 February 2018 (1 DAY)

Instructors: Dr Sheree Gibb & Dr Andrea Teng, the University of Otago, Wellington

This course will introduce the Stats New Zealand Integrated Data Infrastructure (IDI) and provide a toolset and practical steps that participants require to unlock the value of the IDI for improved health and health policy.

 

Q METHODOLOGY: AUCKLAND 19–21 February 2018 (3 DAYS)

Instructor: Dr Amanda Wolf, Victoria University of Wellington

This course is designed for those who have a solid knowledge of research design and methodology and a curiosity about what Q methodology offers as an approach to the study of subjectivity.

 

MPLUS WORKSHOPS: AUCKLAND 12–19 FEBRUARY 2018 

Introduction to Structural Equation Modelling with Mplus: 12–13 February 2018 (2 DAYS)

Multiple Group Analysis and Measurement Invariance in Cross-cultural Studies: 14 February 2018 (1 DAY)

Examining Mediation, Moderation, and Moderated Mediation with SEM: 15 February 2018 (1 DAY)

Multi-level Analysis with SEM: 16 February 2018 (1 DAY)

Longitudinal Studies and Latent Variable Growth Curve Modelling with Mplus: 19 February 2018 (1 DAY)

Instructor: Professor Gordon Cheung, Business School, the University of Auckland

A suite of courses in Structural Equation Modelling (SEM) via coding within the Mplus software, which is used to find and test complex relationships among observed and latent variables. These can be taken separately or combined, which will attract discounts.

 

Earlybird discounts are in place for Wellington until 16 October 2017, and for Auckland until 18 December 2017. Discounts are available for education/NGO employees and postgraduate students.

Courses will run subject to instructor availability and sufficient enrolments. Please enrol early as so that we get our numbers up – we will confirm courses as soon as we can. Please note, these courses carry no university accreditation.

Courses are 5 days in length unless otherwise specified, with times 9am–4:30pm each day, except for the last day of the 4- and 5-day courses, the afternoon of which is set aside for one-on-one discussions with the instructors on personal projects. If you attend one of those courses, you may wish to schedule travel plans accordingly.

Ngā mihi,

Martin von Randow & Lara Greaves

The NZSSN operations team

courses@nzssn.org.nz

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