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Ni!
 
Ni!
  
== Questions ==
+
==RDS==
 +
 
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On [[../RDS/en|defining the network]] for RDS calculations
 +
 
 +
==Scale-Up and Masking (Definition of ''knows'')==
 +
 
 +
[[../Ampliação da Rede/Who knows who|Who knows who]]
 +
 
 +
==Scale-Up and Masking (Contacts Game)==
 +
 
 +
We present the respondent with tokens and a sheet of paper divided in four labeled quadrants:
 +
 
 +
# knows you use drugs & uses drugs
 +
# knows you use drugs & does not use drugs
 +
# does not know you use drugs & uses drugs
 +
# does not know you use drugs & does not use drugs
 +
 
 +
The respondent is asked to distribute the tokens into the quadrants, one for each person he knows with that name.
 +
 
 +
The interviewer counts the tokens and writes down the four numbers, then proceeds to the next name.
 +
 
 +
This gives us all relevant information directly, and as a bonus makes the interview a bit more fun and perhaps quicker.
 +
 
 +
===Tokens===
 +
 
 +
The cards work as usual, the respondent draws one and hands it to the interviewer without looking at it.
 +
 
 +
The interviewer reads aloud the name, and instructs the respondent to place the tokens on the quadrants.
 +
 
 +
The tokens should not be cards, that would be confusing. It's better if they're pebbles, coins, poker chips or something like that.
 +
 
 +
The tokens then can:
 +
 
 +
#be on a bowl, from which the respondent draws as many as he wants as he places them on the quadrants.
 +
#be with the interviewer, who first asks '''Question 1''' and then gives the respondent the corresponding number of tokens.
 +
 
 +
The respondent might remember other people as he places the tokens, so option (2) may cause confusion.
 +
 
 +
However, option (2) would produce results more similar to previous studies.
 +
 
 +
==Scale-Up and Masking (with 2 questions)==
  
 
For each interviewee, the questions below shall be asked for every name, there being 24 names total.
 
For each interviewee, the questions below shall be asked for every name, there being 24 names total.
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'''Question 2:''' How many of those know you __________[condition of the study, ex: had sex with another man in the last six months]?
 
'''Question 2:''' How many of those know you __________[condition of the study, ex: had sex with another man in the last six months]?
  
==Segmentation with 4 questions (the 2 above + 2 extra)==
+
==Scale-Up and Masking (with 4 questions = 2 above + 2 extra)==
  
 
===Definitions===
 
===Definitions===
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'''k~u/~u''' = (k - ku) / (t - u) = '''(K - KU) / (T - U)'''
 
'''k~u/~u''' = (k - ku) / (t - u) = '''(K - KU) / (T - U)'''
 
==Segmentation with no questions==
 
 
Let me propose that we ask NO QUESTIONS.
 
 
Instead, we present the respondent with tokens and a sheet of paper
 
divided in four labeled quadrants:
 
 
# knows you use drugs & uses drugs
 
# knows you use drugs & does not use drugs
 
# does not know you use drugs & uses drugs
 
# does not know you use drugs & does not use drugs
 
 
The respondent is asked to distribute the tokens into the quadrants,
 
one for each person he knows with that name.
 
 
The interviewer counts the tokens and writes down the four numbers,
 
then proceeds to the next name.
 
 
This gives us all relevant information directly, and as a bonus makes
 
the interview a bit more fun and perhaps quicker.
 

Edição atual tal como às 22h12min de 26 de janeiro de 2010

Ni!

Conteúdo

 [ocultar

[editar] RDS

On defining the network for RDS calculations

[editar] Scale-Up and Masking (Definition of knows)

Who knows who

[editar] Scale-Up and Masking (Contacts Game)

We present the respondent with tokens and a sheet of paper divided in four labeled quadrants:

  1. knows you use drugs & uses drugs
  2. knows you use drugs & does not use drugs
  3. does not know you use drugs & uses drugs
  4. does not know you use drugs & does not use drugs

The respondent is asked to distribute the tokens into the quadrants, one for each person he knows with that name.

The interviewer counts the tokens and writes down the four numbers, then proceeds to the next name.

This gives us all relevant information directly, and as a bonus makes the interview a bit more fun and perhaps quicker.

[editar] Tokens

The cards work as usual, the respondent draws one and hands it to the interviewer without looking at it.

The interviewer reads aloud the name, and instructs the respondent to place the tokens on the quadrants.

The tokens should not be cards, that would be confusing. It's better if they're pebbles, coins, poker chips or something like that.

The tokens then can:

  1. be on a bowl, from which the respondent draws as many as he wants as he places them on the quadrants.
  2. be with the interviewer, who first asks Question 1 and then gives the respondent the corresponding number of tokens.

The respondent might remember other people as he places the tokens, so option (2) may cause confusion.

However, option (2) would produce results more similar to previous studies.

[editar] Scale-Up and Masking (with 2 questions)

For each interviewee, the questions below shall be asked for every name, there being 24 names total.

Only the order of names will be sampled, according to the Instructions for the deck of names, and must be registered.

Question-2 is asked only if the answer to Question-1 was not zero.

Question 1: How many people do you know named __________[name] ?

Question 2: How many of those know you __________[condition of the study, ex: had sex with another man in the last six months]?

[editar] Scale-Up and Masking (with 4 questions = 2 above + 2 extra)

[editar] Definitions

For a given NAME:

t = "total number of alters named NAME that the respondent knows"

k = "has name NAME and knows respondent uses drugs"

u = "has name NAME and respondent knows he uses drugs"

xy = x and y

~z = not z

Example
~k~u: alters who do not use drugs and have no knowledge of the respondent's use

[editar] Equations

ku + k~u + ~ku + ~k~u = t

ku + k~u = k

~ku + ~k~u = ~k

ku + ~ku = u

k~u + ~k~u = ~u

[editar] Questions

?t = T

?k = K

?u = U

?ku = KU

[editar] Examples

~k~u = ~u - k~u = t - u + ku - k = T - K - U + KU

k~u/~u = (k - ku) / (t - u) = (K - KU) / (T - U)

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