she and which one is that i'm executive director of the t male speakers

which is this sensitivity i do a randomized evaluations of social and economic programs might

work speaker zero was working in your star

this might hold my customer transparency work as i was able to have no for

a few analysis five where we commission wants to how we as a the data

this is a useful tool is particularly useful in it

areas where you have a very large number come

a variables conventional over us one should be used outcome

and i don't for instance what makes it very well and where we have

three hundred and also complexes and again wasn't

you different ways of measuring us of phonological always one single we need one and

so i think you had about how we a group these cases with anything

in involved during

doing this kind of four times in real life

i'm just how complicated difficulties and a one of the projects that are probably have

several different i'm trying to by in vowels

exactly are you gonna analyses without knowing

which also be also do which might be negative with which ones would be insignificant

was we found out to be like a and

there was that we wish we don't differently

and i two

my next a attempt to do this kind of transparency of analysis and we ended

completely different why

both

what is that how we do the first and then doing that

and that using that information the first to write another

thus you know how we're gonna analyze the next presentation we split up into these

different

didn't approach is this is one of thing something to about this conference but i

think about how to be transparent is really useful

so i think this is show how the commission and wants to analyze english when

you show that a and i should be something that simple we can make valuable

discussions about

i also think he's very we show a for all experiments are problems

and

yes

i one is to address

but

how do is for all or just saying systems to make it easier is very

important because

because it's listen to work

and we by the way instances to do it

so sometimes ponders and system but also i and that's very ones and

but i think that's also what we can do not and this is really my

activities but i'd like to learn about one we happy we demonstrate how thinking about

two

to make the data collection process in all

we then make use it probably select i think that kind of thing basically and

we use make use

is gonna be part of getting to a web anything

you know what we got used as

so one english is pretty sneaky this is that it's cross disciplinary across the social

sciences and i don't really get into two people working in other areas social science

except a physical science where there are more there are other for what we discuss

i guess we helpful to understand the guidelines that the o where is working

only just like to take you know

so that we can join see china economics is doing now i mean like false

peak frequency but i think these discussions very able to establish

similar approaches

a week or something

we have similar objectives across the social sciences "'cause" we combine them in different ways

we don't want to each other we

so you know they do things right panel alway was actually there's not much difference

between them so really getting used to sit together

i shall a extent we can comment hotlines in common approaches i think it's really

helpful i go forward all transparency through a consensus within the professions this is this

is how first