Course Details
PRIMER (Week 1) and PERMANOVA+ (Week 2) will both be presented by Dr Adam N. H. Smith (PRIMER-e and Massey University) and Distinguished Professor Marti J. Anderson (PRIMER-e and Massey University)
This two-week in-person course will be held at The University of Auckland in New Zealand. Week 1 will cover the core non-parametric methods implemented in PRIMER software. Week 2 will cover the semi-parametric methods encapsulated in PERMANOVA+ and other advanced topics. Sessions will run 5 days per week, Monday to Friday, 8:30 am to 5:30 pm each day. Participants may register for week 1 only, week 2 only, or both weeks. Each day will include a mixture of lectures and computer lab sessions on example data. Participants will also have the opportunity to discuss and analyse their own data in consultation with the presenter. This course will cater both to those who are new to PRIMER and to those who are familiar with PRIMER methods but would like a refresher regarding the latest techniques and approaches.
Week 1 will provide an extensive overview of statistical methods in non-parametric analysis of multivariate data implemented in the software PRIMER. Non-parametric statistics and permutation tests make the methods intuitively simple to understand, so no prior background in statistics is required.
PERMANOVA+ allows robust analysis of multivariate data in response to complex sampling/experimental designs on the basis of a resemblance measure of choice, with rigorous inferences obtained using permutation methods. The broader suite of methods in PERMANOVA+ enable formal models, tests, and predictions to be achieved for multivariate ecological (and other) systems that are over-parameterised (i.e., have too many variables) and/or that demonstrate substantial non-normality. Familiarity with the core methods in PRIMER and/or some prior knowledge of basic multivariate methods is desirable. However, Week 2 (like Week 1) will emphasise conceptual understanding, software implementation of the methods and interpretation of results for scientists and practitioners, so no prior specific background in statistics is assumed.
How to Register
For further information please download and read the course documents listed in the blue box labelled “Download Information”, above. To register, please send your completed registration form and payment (no later than Friday, 16th August 2024) to the PRIMER-e office at: primer@primer-e.com. Late registrants will only be accepted if space permits.
Prices and Discounts available
EARLY BIRD prices for registration are available and valid until 1 May 2024. Register for both courses at the same time and save! Please consult the Course Information Document for more information about the course fees. Please note that our Global Equitability Pricing (GEP) percentage discounts do not apply to registration fees for in-person courses such as this one.
Participants can request a FREE fully functional (but time-limited) licence of the software for trial use during the course, or purchase time-unlimited PRIMER software at a special discounted price of 10% off our standard base prices. Participants may also be eligible for our Global Equitability Pricing (GEP) on all our software products, in accordance with their country of residence.
Please get in touch with us directly (primer@primer-e.com), especially if you would like:
• to obtain a quote for your registration (with or without software), including all discounts for which you are eligible;
• to register more than one individual from your organisation and pay on a single invoice (please include separate registration forms for each individual participant) and/or;
• to purchase more than one software licence at the discounted prices on a single invoice.