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Using CAPI to assess interviewer
skills during training:
Presentation at the Pew Research Center Workshop
on data collection in Sub-Saharan Africa, Washington,
D.C.
advice from Kenya, Ghana, Uganda and
Senegal
Sarah M. Hughes
November 30, 2017
22
“Collecting good
data is one of the
most powerful tools
to end extreme
poverty.”
Jim Yong Kim 2015
source: World Bank, 2015
33
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Round robin
– Mock script
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
44
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Round robin
– Mock script
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
55
Uneven statistical capacity
• Limited training for
statistical capacity
• Use of paper
questionnaires
• Few private
organizations with
high-quality survey
methodology
capabilities
• Pay and
employment
structure for field
teams
AfDB ranking statistical capacity for collecting agriculture data
African Development Bank, 2014
66
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Round robin
– Mock script
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
77
Interviewer
1
Iboughtit
Interviewer
2
Interviewer
3
Howdidyou
obtainthisplot?
Trainer /
respondent
Round Robin: interviewers have tablets
88
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Round robin
– Mock script
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
99
Using the mock script
SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM
THEIR TRAINING SAMPLE CASES
Q # VARNAME QUESTION TEXT
TRAINER'S
VERBATIM
RESPONSE
EXPECTED
INTERVIEWER
ACTION
STOP AND EXPLAIN:
TRAINER NOTES
B.10 HHNUMCF I would like to confirm
that the total number of
people living in your
household is %textfill%.
Well, there's me, my
husband, our two kids
and my mother in law.
PROBE: So that would
be how many? (or) So,
that would be five?
Respondents sometimes have a hard time
adding up numbers and you might make a
mistake recording the number. So,
remember to probe and to repeat
numbers
Interviewer uses CAPI tablet
to pose the question
1010
Using the mock script
SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM
THEIR TRAINING SAMPLE CASES
Q # VARNAME QUESTION TEXT
TRAINER'S
VERBATIM
RESPONSE
EXPECTED
INTERVIEWER
ACTION
STOP AND EXPLAIN:
TRAINER NOTES
B.10 HHNUMCF I would like to confirm
that the total number of
people living in your
household is %textfill%.
Well, there's me, my
husband, our two
kids and my mother
in law.
PROBE: So that would
be how many? (or) So,
that would be five?
Respondents sometimes have a hard time
adding up numbers and you might make a
mistake recording the number. So,
remember to probe and to repeat
numbers
Trainer reads aloud exactly as written
1111
Using the mock script
SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM
THEIR TRAINING SAMPLE CASES
Q # VARNAME QUESTION TEXT
TRAINER'S
VERBATIM
RESPONSE
EXPECTED
INTERVIEWER
ACTION
STOP AND EXPLAIN:
TRAINER NOTES
B.10 HHNUMCF I would like to confirm
that the total number of
people living in your
household is %textfill%.
Well, there's me, my
husband, our two kids
and my mother in law.
PROBE: So that would
be how many? (or) So,
that would be five?
Respondents sometimes have a hard time
adding up numbers and you might make a
mistake recording the number. So,
remember to probe and to repeat
numbers
Trainers observe how interviewer probes
1212
Using the mock script
SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM
THEIR TRAINING SAMPLE CASES
Q # VARNAME QUESTION TEXT
TRAINER'S
VERBATIM
RESPONSE
EXPECTED
INTERVIEWER
ACTION
STOP AND EXPLAIN:
TRAINER NOTES
B.10 HHNUMCF I would like to confirm
that the total number of
people living in your
household is %textfill%.
Well, there's me, my
husband, our two kids
and my mother in law.
PROBE: So that would
be how many? (or) So,
that would be five?
Respondents sometimes have a hard time
adding up numbers and you might make
a mistake recording the number. So,
remember to probe and to repeat
numbers.
Trainer pauses and explains
to improve interviewer
behavior and understanding
1313
Mock script: only for the trainer!
SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM
THEIR TRAINING SAMPLE CASES
Q # VARNAME QUESTION TEXT
TRAINER'S
VERBATIM
RESPONSE
EXPECTED
INTERVIEWER
ACTION
STOP AND EXPLAIN:
TRAINER NOTES
B.10 HHNUMCF I would like to confirm
that the total number of
people living in your
household is %textfill%.
Well, there's me, my
husband, our two kids
and my mother in law.
PROBE: So that would
be how many? (or) So,
that would be five?
Respondents sometimes have a hard time
adding up numbers and you might make a
mistake recording the number. So,
remember to probe and to repeat
numbers
G.15 PLOTOWN How did you obtain this
plot? 1-Purchase , 2-
Inherit , 3-Rent for cash or
kind , 4-Sharecrop , 5-
Allocated free, 6-Other,
specify
I bought it Select 1-Purchase Be sure to read and know the response
options so you select from the precoded
responses.
G.16 SEEDS$ How much did you spend
on seeds for this plot?
5,000 CFA REPEAT RESPONSE,
Enter 5,000
It is easy to make mistakes when entering
numbers on a tablet-read the number you
have entered out loud to the respondent
to make sure you have entered it correctly
L.1 PHONE1 What phone number
should we use to contact
you for follow up in 2-3
months?
77-328-44-91 REPEAT RESPONSE,
enter 77-328-44-91
We check phone numbers for accuracy
and follow up, so be sure this number is
correct.
1414
Interviewer
1
Iboughtit
Interviewer
2
Interviewer
3
Howdidyou
obtainthisplot?
Trainer /
respondent/
Ma Diop
Round Robin: interviewers have tablets
1515
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Mock script
– Round robin
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
1616
Create excel version of data
Filter columns
1717
Identify errors
Identify values that do not
match the Mock script
1818
Highlight for ease of presentation
Highlight wrong values
1919
Identify data quality errors by interviewer
This interviewer has made multiple errors
2020
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Mock script
– Round robin
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
2121
Interviewer assessment
• Expect errors during training!
• Mock script with data review allows assessment of:
– reading
– listening
– recording
• Does NOT assess ability to select correct respondent or to
gain cooperation
• Does NOT replace supervisor observation or back-checks
2222
Outline of the presentation
• Why focus on interviewer training?
• Introducing 3 training tools
– Mock script
– Round robin
– Mock dataset
• Assessing interviewers
• Pros and cons of the method
2323
Pros and cons of the method
Pros Cons
Identify trainees for additional training before
hiring
Time consuming for material
development
Trains on content, basic interviewer skills (active
listening, probing, correctly entering numeric
values), tablet/CAPI function
Requires new approach to
classroom training for local team
Forces local team to become very familiar with
questionnaire, programming
Requires Training of Trainers
Adds objectivity to interviewer assessment
2424
Better training = better data
“Data are the lifeblood of
decision-making and the raw
material for accountability.
Without high-quality data
providing the right information
on the right things at the right
time; designing, monitoring
and evaluating effective
policies becomes almost
impossible.”
United Nations, A World That
Counts, 2014
2525
For More Information
• Sarah Hughes
– SHughes@mathematica-mpr.com

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6. Mathematica Presentation

  • 1. Using CAPI to assess interviewer skills during training: Presentation at the Pew Research Center Workshop on data collection in Sub-Saharan Africa, Washington, D.C. advice from Kenya, Ghana, Uganda and Senegal Sarah M. Hughes November 30, 2017
  • 2. 22 “Collecting good data is one of the most powerful tools to end extreme poverty.” Jim Yong Kim 2015 source: World Bank, 2015
  • 3. 33 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Round robin – Mock script – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 4. 44 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Round robin – Mock script – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 5. 55 Uneven statistical capacity • Limited training for statistical capacity • Use of paper questionnaires • Few private organizations with high-quality survey methodology capabilities • Pay and employment structure for field teams AfDB ranking statistical capacity for collecting agriculture data African Development Bank, 2014
  • 6. 66 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Round robin – Mock script – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 8. 88 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Round robin – Mock script – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 9. 99 Using the mock script SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM THEIR TRAINING SAMPLE CASES Q # VARNAME QUESTION TEXT TRAINER'S VERBATIM RESPONSE EXPECTED INTERVIEWER ACTION STOP AND EXPLAIN: TRAINER NOTES B.10 HHNUMCF I would like to confirm that the total number of people living in your household is %textfill%. Well, there's me, my husband, our two kids and my mother in law. PROBE: So that would be how many? (or) So, that would be five? Respondents sometimes have a hard time adding up numbers and you might make a mistake recording the number. So, remember to probe and to repeat numbers Interviewer uses CAPI tablet to pose the question
  • 10. 1010 Using the mock script SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM THEIR TRAINING SAMPLE CASES Q # VARNAME QUESTION TEXT TRAINER'S VERBATIM RESPONSE EXPECTED INTERVIEWER ACTION STOP AND EXPLAIN: TRAINER NOTES B.10 HHNUMCF I would like to confirm that the total number of people living in your household is %textfill%. Well, there's me, my husband, our two kids and my mother in law. PROBE: So that would be how many? (or) So, that would be five? Respondents sometimes have a hard time adding up numbers and you might make a mistake recording the number. So, remember to probe and to repeat numbers Trainer reads aloud exactly as written
  • 11. 1111 Using the mock script SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM THEIR TRAINING SAMPLE CASES Q # VARNAME QUESTION TEXT TRAINER'S VERBATIM RESPONSE EXPECTED INTERVIEWER ACTION STOP AND EXPLAIN: TRAINER NOTES B.10 HHNUMCF I would like to confirm that the total number of people living in your household is %textfill%. Well, there's me, my husband, our two kids and my mother in law. PROBE: So that would be how many? (or) So, that would be five? Respondents sometimes have a hard time adding up numbers and you might make a mistake recording the number. So, remember to probe and to repeat numbers Trainers observe how interviewer probes
  • 12. 1212 Using the mock script SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM THEIR TRAINING SAMPLE CASES Q # VARNAME QUESTION TEXT TRAINER'S VERBATIM RESPONSE EXPECTED INTERVIEWER ACTION STOP AND EXPLAIN: TRAINER NOTES B.10 HHNUMCF I would like to confirm that the total number of people living in your household is %textfill%. Well, there's me, my husband, our two kids and my mother in law. PROBE: So that would be how many? (or) So, that would be five? Respondents sometimes have a hard time adding up numbers and you might make a mistake recording the number. So, remember to probe and to repeat numbers. Trainer pauses and explains to improve interviewer behavior and understanding
  • 13. 1313 Mock script: only for the trainer! SIMPLE MOCK: "MA DIOP" TRAINER: INSTRUCT INTERVIEWERS TO SELECT RESPONDENT MA DIOP FROM THEIR TRAINING SAMPLE CASES Q # VARNAME QUESTION TEXT TRAINER'S VERBATIM RESPONSE EXPECTED INTERVIEWER ACTION STOP AND EXPLAIN: TRAINER NOTES B.10 HHNUMCF I would like to confirm that the total number of people living in your household is %textfill%. Well, there's me, my husband, our two kids and my mother in law. PROBE: So that would be how many? (or) So, that would be five? Respondents sometimes have a hard time adding up numbers and you might make a mistake recording the number. So, remember to probe and to repeat numbers G.15 PLOTOWN How did you obtain this plot? 1-Purchase , 2- Inherit , 3-Rent for cash or kind , 4-Sharecrop , 5- Allocated free, 6-Other, specify I bought it Select 1-Purchase Be sure to read and know the response options so you select from the precoded responses. G.16 SEEDS$ How much did you spend on seeds for this plot? 5,000 CFA REPEAT RESPONSE, Enter 5,000 It is easy to make mistakes when entering numbers on a tablet-read the number you have entered out loud to the respondent to make sure you have entered it correctly L.1 PHONE1 What phone number should we use to contact you for follow up in 2-3 months? 77-328-44-91 REPEAT RESPONSE, enter 77-328-44-91 We check phone numbers for accuracy and follow up, so be sure this number is correct.
  • 15. 1515 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Mock script – Round robin – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 16. 1616 Create excel version of data Filter columns
  • 17. 1717 Identify errors Identify values that do not match the Mock script
  • 18. 1818 Highlight for ease of presentation Highlight wrong values
  • 19. 1919 Identify data quality errors by interviewer This interviewer has made multiple errors
  • 20. 2020 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Mock script – Round robin – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 21. 2121 Interviewer assessment • Expect errors during training! • Mock script with data review allows assessment of: – reading – listening – recording • Does NOT assess ability to select correct respondent or to gain cooperation • Does NOT replace supervisor observation or back-checks
  • 22. 2222 Outline of the presentation • Why focus on interviewer training? • Introducing 3 training tools – Mock script – Round robin – Mock dataset • Assessing interviewers • Pros and cons of the method
  • 23. 2323 Pros and cons of the method Pros Cons Identify trainees for additional training before hiring Time consuming for material development Trains on content, basic interviewer skills (active listening, probing, correctly entering numeric values), tablet/CAPI function Requires new approach to classroom training for local team Forces local team to become very familiar with questionnaire, programming Requires Training of Trainers Adds objectivity to interviewer assessment
  • 24. 2424 Better training = better data “Data are the lifeblood of decision-making and the raw material for accountability. Without high-quality data providing the right information on the right things at the right time; designing, monitoring and evaluating effective policies becomes almost impossible.” United Nations, A World That Counts, 2014
  • 25. 2525 For More Information • Sarah Hughes – SHughes@mathematica-mpr.com