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Join us for our new virtual event
Research Accelerator 2020
Thursday 26 November – Wednesday 9 December 2020
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10 DAYS
45+ SESSIONS
ALL VIRTUAL
CREATE YOUR OWN PROGRAMME

We know you're busy and that research funds are limited right now, so we're offering a time-efficient and cost-effective way for you to access the training you need to accelerate your research!

Create your own programme from our 10 day virtual event. We've designed it to be super-flexible so you can work around your other commitments. Select the sessions most relevant to your research and experience level, then decide whether you'll work through the material in your own time or attend live.

We’ve made it stress-free to access the content – all videos, training notes, exercise files, quizzes, the members-only community, Q&A and links to live sessions will be hosted on a single online platform. If you're too busy to attend the 10 day event, no problem – there's an extended option for you to binge watch the material over the summer!

View Full Schedule
Who Should Attend?

Whether you’re brand new to data analysis and keen to learn the basics, or you’re a more experienced researcher who is looking for ideas to improve the quality and efficiency of your research, Research Accelerator has something to offer you!


Postgraduate students
Postgraduate students who need to analyse data or complete a literature review as part of their thesis research. Attend the ‘Beginners’ sessions if you’re new to data analysis, or the ‘Experience required’ sessions if you’re further down your research path. Note that this event is not suitable for students who are brand new to research – a basic understanding of research methods and data collection techniques is assumed.

Early career researchers
Early career researchers who are looking for tools and techniques to help analyse data and write-up their current and upcoming projects. Attend the ‘Beginners’ sessions if you’re new to data analysis, or the ‘Experience required’ sessions if you’re further down your research path.

Research teams
Working in a research team is much more effective if everyone is on the same page regarding the software and methods you'll be using. Research Accelerator is a cost-effective way to provide PD to your research team – you can even attend the lunchtime seminar series together!

Summer students
Summer students are often thrown in the deep end when it comes to data analysis and writing. Our Research Accelerator provides a cost effective way for you to get up to speed, saving on supervision time. The 'Beginners' track is perfect for this particular group of novice researchers. Note that this programme does not cover basic research skills, so it is not suitable for students who are brand new to research – a basic understanding of research methods and data collection techniques is assumed.

Thesis supervisors
If you're looking for ways to better support your postgraduate students, Research Accelerator is a great way to get up to speed with the latest in research software and methods. You might even pick up a few useful tips and tricks for your own research.
What Will Be Covered?
The focus of our programme is on data analysis (both qualitative and quantitative) and the skills you need to write-up your results. We’ll be covering NVivo and SPSS, but will also teach the methods you need to use these applications effectively. Don't have any primary data to analyse? If your research plans were disrupted in 2020, and you're now completing an extended/systematic literature review as part of your project, we have a special stream of sessions just for you!

Legend Recorded Session Live session Beginners Beginners Experience requiredExperience required All levelsAll levels
Time Day 1: 26 Nov
Qualitative Analysis
Day 2: 27 Nov
Introducing NVivo
Day 3: 30 Nov
Statistics
Day 4: 1 Dec
Diving Deeper with NVivo
Day 5: 2 Dec
Bring Your Own Research Project
9:00am NZDT Qualitative Analysis for Beginners
Beginners
NVivo Quick Start Part 1: Creating a Project and Importing Data
Beginners
Statistics for Beginners
Beginners

Introducing Cases and Classifications
Experience required
Bring Your Own Research Project
All levels
10:30am NZDT Transcription Tips & Tricks
All levels
NVivo Quick Start Part 2: Introducing Coding
Beginners
Quick Introduction to Statistical Testing
Beginners
Asking Questions in NVivo
Experience required
Lunchtime Seminar Series (12pm–12:45pm NZDT) Quick Tips for Qualitative Analysis
All levels
Adding Value to Your Research with Journals and Memos
All levels
Quick Tips for Quantitative Analysis
All levels
NVivo Coding Tips & Tricks
All levels
Audience choice (make a suggestion!)
1:30pm NZDT Issues in Qualitative Analysis (Discussion Group)
Experience required
NVivo Quick Start Part 3: Exploring with Text Queries
Beginners
Statistics: Test Your Knowledge! (Discussion Group)
Experience required
Exploring Data with NVivo Visualisations
Experience required
Shut Up and Write!
All levels
4:00pm NZDT Individual Drop-in Session
All levels
Group Q&A: General
All levels
Individual Drop-in Session
All levels
Group Q&A: Cases and Classifications
Experienced required
Time Day 6: 3 Dec
NVivo FAQs
Day 7: 4 Dec
Statistical Analysis with SPSS
Day 8: 7 Dec
Literature Reviews
Day 9: 8 Dec
Moving Beyond Analysis into Writing
Day 10: 9 Dec
Bring Your Own Research Project
9am NZDT How do I Use NVivo for Mixed Methods?
Experience required
SPSS Quick Start
Beginners
NVivo for Literature Reviews
Experience required
Qualitative Writing for Beginners
Beginners
Bring Your Own Research Project: Session 1
All levels
10:30am NZDT Can I Work with NVivo in a Research Team?
All levels
Diving Deeper into SPSS
Experience required
Developing Themes
Experience required
Lunchtime Seminar Series (12pm–12:45pm NZDT) Can NVivo Really Code for Me? A Quick Demo of Autocoding
All levels
Data Entry Tips for Microsoft Excel
All levels
Literature Review Toolkit: A Quick Tour
All levels
Tips for Academic Writing
All levels
Audience choice (make a suggestion!)
1:30pm NZDT How do I Report from NVivo?
Experience required
Running Analyses with SPSS
Experience required
Time-saving Tips for Microsoft Word
All levels
What’s Your Qualitative Writing Style?
(Discussion Group)
Experience required
Bring Your Own Research Project: Session 2
All levels
4:00pm NZDT Group Q&A: NVivo for Mac
All levels
Group Q&A: General
All levels
Group Q&A:
Literature Reviews
All levels
Individual Drop-in Session
All levels
Closing Comments/Final Q&A
All levels

As you can see from our schedule, we've packed a lot of content into the 10 days, but we don’t recommend engaging with everything! The event is structured like a conference – choose the tracks that interest you and ignore the ones that aren’t relevant to your research.

Download the Full Programme
What You'll Receive

70+ hours of live and recorded video

PDF training manuals and slides

Quizzes to revise and test your knowledge

Access to a members-only community

Exercise files to practice your learning
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Why You Should Attend

It's been a difficult year and your research has likely been disrupted. You need to learn skills fast, and don't have time to scroll through endless YouTube videos.

With Research Accelerator you can customise your own programme to get exactly what you need. You can even ask questions when you're stuck – all at a time convenient to you and at a price tag you can afford

We're experts at what we do – we've been teaching research and data analysis for over 20 years.

Our students love our down to earth approach, and the numerous practical tips we share in our sessions. Our aim for this event is to leave you feeling inspired, motivated and well-equipped with the skills you need to move your research forward.

Everyone learns differently. Research Accelerator provides you with a range of different learning formats that you can work through at your own time and pace.

If you learn best by connecting with others, attend our live events and participate in our members-only community. If you prefer to learn solo, that's okay too – no pressure!

Still unsure? Read our FAQS for the event.

You can also attend one of our free pre-event webinars to see if our content is a good fit for you!
Register Now
Your Lead Facilitator – Dr Lyn Lavery

Lyn has taught research methods and data analysis in New Zealand universities for over 20 years. She is an NVivo Platinum Certified Trainer and has previously trained for SPSS NZ, so is confident working across quantitative, qualitative and mixed methods projects. Her love of teaching and education, alongside her flexible teaching style and engaging sense of humour, contribute to an outstanding reputation as a training facilitator.

Pricing

Our Research Accelerator gives you NZD$3,200 worth of training, at a value-for-money price.
Choose from a 3 Day, 10 Day or a 10 Day+ Pass.

Type of pass Location Price
3 Day Pass: Select any three days that interest you. You'll be able to access the session material on the day itself, and will have access to the recordings for your selected days until Friday 11th December, 2020. Online $79.00
Type of pass Location Price
10 Day Pass: Attend all 10 days of the event; plus receive on-demand access to videos and course material until Friday 11th December, 2020. Access to a members-only community where you can interact with other attendees, ask questions, and share experiences and resources. Online $179.00
Type of pass Location Price
10 Day+ Pass: As per the 10 Day Pass, plus on-demand access to videos, course material and the members-only community until Sunday 28th February, 2021 (i.e. three months access). Perfect for researchers who can't attend the live event, or who know they will need ongoing support over the summer. Online $329.00
Frequently Asked Questions

Definitely not! Attend as much or as little of the event as you would like – the programme is designed for a range of interests and experience levels, so the sessions won’t all be relevant to you.

Absolutely – we’d love for you to join us! Live sessions are scheduled in the afternoon in order to accommodate several different time zones. All live sessions will also be recorded and can be watched at a time convenient for you. If you have questions about the content, you can post these at any time of day (we’ll get back to you first thing New Zealand time) and if you have a question you’d like addressed at one of the live Q&A sessions, you can email it to us beforehand if you’re unable to attend in-person

We’ll be recording live sessions for those that cannot attend – we’ll make these available as soon as possible after the live event (we’ll also provide any associated training materials such as PowerPoint slides).

Note that the discussion groups and individual drop-in sessions will not be recorded (for privacy reasons). Any relevant resources from the discussion groups will be provided to all attendees.

No – we’ll be releasing the content for each day at 7am NZDT. You’re welcome to work through the material at a later time, but we won’t be releasing content early because of the structure of the event.

No – just turn up to the live session if you’re able. The exception to this is the group discussions – some of these require a little pre-session work on your part, so we need to know who is coming. It also helps us assess how any group facilitators we need on the day. The link to register for these sessions will be provided.

Any video sessions for the day will be made available by 7am NZDT, and you can watch them whenever is convenient. Live sessions are generally at lunchtime and each afternoon, in order to accommodate those attending from different time zones. Check the schedule to see exactly when each live session will run.

We’ll be presenting our software sessions on Windows, but our training notes include instructions for Mac versions of the software we teach. We’ll be using the new version of NVivo, but alternative instructions will be provided if you’re still using NVivo 12. The SPSS session will be taught with version 27, and we’ll be using Office 365 for the sessions that cover Word and Excel.

There are three ways to ask questions during the event – you can post your question online, or you can attend one of the scheduled individual drop-ins or group Q&A sessions. The individual drop-in sessions are perfect if you need to ask a question privately, this might be the case if you’re discussing an aspect of your project that is confidential for example. If your question doesn’t require privacy, we’d encourage you to ask it in the group Q&A session so that everyone can benefit from hearing the answer. If you can’t make the group Q&A sessions in-person, submit your question via email beforehand and we’ll be sure to address it in the next session.

If you’re new brand new to research, then unfortunately this isn’t the right event for you. Our sessions will assume a basic understanding of the research process and data collection tools. If you're a novice researcher who knows the basics and is keen to learn about data analysis and writing, you're more than welcome to attend! If you’re not sure whether the event will be suitable for you, please contact us to discuss.

All materials for the event will be provided in a single online platform – you’ll receive your login details for this nearer the start date. Links to live sessions, video content, training notes, exercise files, slides and quizzes can all be found here. You can also ask questions and interact with other attendees in the online platform if you’d like to.

There is a mix of both pre-recorded videos and live sessions as part of the programme. Check the details for each session to see its delivery format.

We’re more than happy to answer quick questions you have about your research. We can’t provide more detailed assistance however e.g. the best NVivo set-up for your particular project or what statistical tests are appropriate for your research question. You’re more than welcome to book an individual consultation with one of our team if you need specific assistance – the cost of this is NZ$190 per hour. Contact us if you’d like to arrange this.

We’re sorry, but no. We suggest purchasing a 3-day pass, which is exceptionally good value for money. A single online training course with us is usually priced at NZ$120-$325. A 3-day pass for the Research Accelerator is just $79, so you’re actually paying less than you would for a single session.