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so now you should have a lot of data.

What do you do with it?

While this lesson is about how to go about qualitative

data analysis, let's start with outcome harvesting you'll remember from

the previous module that outcome.

Harvesting happens in stages on DTH Ease air Summarized in

these three small boxes.

You'll notice the middle box, which says Conduct analyze and

interpret data isn't it is an important part of that.

So analysis is built into outcome harvesting anyway.

Where does this happen?

Well, analysis occurs at the point where you are developing

your outcome.

Descriptions. There are many ways to do this.

Remember, develop your outcome descriptions.

According to Macron, me.

So individual levels is a useful way to start.

Things identify what are the most significant findings when you

go to write your outcome.

Descriptions on you may have used most significant change to

gather your data, so this will help consider using a

thematic analysis document organized by your research questions to compile

all of your research findings and data.

Also, you might want to use a form of contribution

analysis to describe what led to that outcomes you are

describing when you write to outcome descriptions.

Now remember, writing an outcome description is really just another

way of saying analyze and right up your findings.

What about outcome mapping?

Where does data analysis happen here on how well analysis

in this process occurs?

After I have gathered your data on your progress, Marcus,

remember, for each boundary partner and your outcome challenges which

eyes kind of automatic as once you've gathered data on

progress markers, you should have some data, of course, on

whether or not progress is being made towards you outcome

challenges being achieved.

There are different ways to analyze the data.

Once you have it, consider structure in your data.

According to macro, Lisa and individual levels identify what are

the most significant findings, and you may have used most

significant change to gather your data.

Consider also using a thematic analysis document organized by the

search questions to compile or your findings and data.

And if you look in the yellow box on this

slide, there's a little example off a thematic analysis tell

and you can download this, you would find it useful.

Organize your data according to your theory of change, said

Let the data talk about the inputs, the outputs, the

processes, slash mechanisms, your under outcomes.

You can consider using contribution analysis to describe what led

to the out consumer.

Describing observed is a link to some more information about

contribution analysis.

We think that the template with thematic analysis template here

will actually be quite useful and help you to address

all of these points I've just set from this black

box. How do you analyze most significant change stories?

Well, remember, most significant change already has an approach.

We're identifying the most significant stories.

However, further analysis is possible if you like.

What you could do is review or the collected stories

conduct thematic analysis on.

We'll talk a little bit more about that.

In the next slide you would.

You could include deductive themes such as macro only So

individual level findings.

Think about the key enablers that that brought about the

change stories that you gathered on the keep various ball.

So I think, look at the next light that would

give you more more clues about how to unwise.

Most change stories.

Thematic data analysis.

This is a way of analyzing data according to themes,

and you'll have to do this when making sense of

the data that you organize, This is a useful summary

off steps involved in thematic analysis.

You could go through all of these, or you can

collapse some of the categories and you don't have to

follow. Follow this step by step, but they're very useful

description of what is generally involved.

Bust me.

Look for items in your data.

Just read through the through the interview transcripts or focus

group transcripts.

CV Seaview couldn't detect anything interesting emerging.

Before you start the thorough business of writing and coding

things, the next step is to code.

So go through your interview transcripts, for example, and note

and allocate key phrases.

So, for example, of some, if people keep talking about

the strength of a training program, for example, and this

keeps coming up in your interview transcripts, make a note

of that and allocates um, these phrases to coat the

code might be called training.

For example, promise you will you be able to generate

some initial themes.

So organizing group look hopes into themes.

The theme might be training Well, that's not really a

theme that might go into that might be grouped into

a. And when a watching theme called Processes, for example,

then what?

You've done this.

Review your fields and make sure that all of your

teams address your important research questions.

Then you define and name the themes.

Finalize the themes that ISS and make sure you give

these things a useful name so you might want Teoh

have been called inputs or theme called processes or think

or barriers, whatever makes sense to you and then right

up will address writing up in the next slide.

But this means that you address the themes in turn.

Now remember, themes can be deductive, which means that they

are directed by your research questions and areas of interest.

They can also be inducted, which means that the themes

come out unexpectedly because they're driven by the data produced.

Remember, think about macaroni.

So an individual level changes and also Syria change a

quick note about triangulation.

All this means is that your collecting data from different

groups Sometimes these groups are in conflict or likely to

have different opinions about something.

Look, the disagreement and agreement between these groups.

You don't need complete agreement in order for the data

to be useful.

Oh, what while triangulation just means that all perspectives are

covered Other having said that it is useful when you're

noting something that that many respondents agreed on.

This dirt does add some credibility to work you're finding,

but it But similarly, when you're finding who the disagreement

between people, this is also a useful finding my on

further exploration.

Here's an example of off roofs of respondents that you

may wish to triangulate with each other.

Women and girls, fathers, sons, husbands, NGOs.

What did they will have to say?

The same beaten subject you don't They don't have to

be in groups of three.

You can triangulate with many numbers of groups finally writing

up. Use thematic analysis to write up your findings.

Consider your audience.

So what kind of language do you want to use?

Do they understand technical terms being clear about methods that

you used on the limitations so don't make big claims

about a founding when there isn't really sufficient on data

to support it, or if the findings may be contested?

See the next lesson on applying learning from under climbing

lessons here in the black box.

You is an example of a contents page that you

might want to use or shows you.

What kind of heading to you may wish to include

in your report on executive summary introduction methods Fireman's conclusion.

You don't have to use this, but it's a useful

place to start.

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