analysing videos together: skills for support research

Post on 25-May-2015

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Presentation by Val Williams (Norah Fry Research Centre) and Andrew Barbour and about their experiences of analysing videos together. This presentation was part of a seminar, funded by the ESRC, focusing on participatory data analysis for and with people with learning disabilities

TRANSCRIPT

Skills for Support

Lisa Ponting and Kerrie Ford: OUR VIEWS matter

We worked for WECIL (disabled people’s views matter)

Norah Fry Research Centre helped us

What is analysis?

Pulling a rabbit out of a hat?

• I am a scientist• I know the right methods• Therefore I can find out

what this all means

Mostly that is not the way things work….

Hey presto!

Analysis is always from someone’s point of view

“We are the artists of our

lives”

Journey to Independence: 1999-2002

I know what the research means to me – because it’s about my life

Our research was about support

• From my point of view, support is about being friends

We’re just friends!

I helped decide on the main themes

Respect Advice

Choices Being friendly Support to speak up

Making videos

So let’s see what these themes mean – how do support workers do these things?

Being friendly

• We looked at body language

• People were friendly to each other

• They were able to have a good laugh

• They had good team work

Why is this ‘new’? It’s treating each other like human beings!

Then we picked out the parts of the video that showed ‘being friendly’

Val’s bit: looking at how the joke is done

1st part Sue: Go on - You can have that

one

2nd partAndrew: You have number 10 and I’ll have number 12

Receptionist: This is a bigger roomSue: Is it really?

Team work

Go over the

detail

Pick the best bits Tell us

who to go to

Help to get the ‘main

themes’

Val takes the detailed analysis back to Lisa and Kerrie: their views matter!

Making sure we do good research

Good inclusive research needs skilled researchers

Why do we need separate spaces to learn?

Can we come toether?

Impact

• Good inclusive research has its own quality standards

• E.g. analysis can be more ‘open’ and in the here-and-now

• We will only have an impact if we do it well.

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