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Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan

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Author(s): 

Graeme Blair, Kosuke Imai, Jason Lyall

ISPS ID: 
D120
Keyword(s): 
Research design: 
Data type: 
Survey
Data source(s): 

Authors

Data source information: 

Authors (Details about our survey experiment are provided in  JASON LYALL, GRAEME BLAIR and KOSUKE IMAI (2013). Explaining Support for Combatants during Wartime: A Survey Experiment in Afghanistan. American Political Science Review, 107, pp 679-705. doi:10.1017/S0003055413000403.

Suggested citation: Graeme Blair, Kosuke Imai, Jason Lyall (2014). Replication Materials for: Comparing and Combining List and Endorsement Experiments: Evidence from Afghanistan.” http://hdl.handle.net/10079/c59zwgh. ISPS Data Archive.”

Field date: 
January 18, 2011
Location: 
Location details: 
Afghanistan
Unit of observation: 
Individuals
Sample size: 
2,754
Inclusion/exclusion: 
We chose to concentrate on Pashtun-majority areas; Since the vast majority of Afghans live in small rural settlements, we avoided sampling from large urban centers such as district capitals. Our villages thus range from 29 to 6509 inhabitants (mean: 681 individuals). We also made the difficult decision to include only male respondents given the cultural and logistical challenges of interviewing women in these violent and deeply conservative areas. Our protocol included a special consent form for those aged 16–18 years. We elected to include these individuals since Afghanistan's median age is only 18, a fact typically overlooked by existing surveys of public opinion.We chose to concentrate on Pashtun-majority areas; Since the vast majority of Afghans live in small rural settlements, we avoided sampling from large urban centers such as district capitals. Our villages thus range from 29 to 6509 inhabitants (mean: 681 individuals). We also made the difficult decision to include only male respondents given the cultural and logistical challenges of interviewing women in these violent and deeply conservative areas. Our protocol included a special consent form for those aged 16–18 years. We elected to include these individuals since Afghanistan's median age is only 18, a fact typically overlooked by existing surveys of public opinion.
Randomization procedure: 
Five provinces—Helmand, Khost, Kunar, Logar, and Uruzgan—were randomly selected from the 13 Pashtun-majority provinces. Next, we randomly selected one-third of each province's districts for a total of 21 selected districts. Third, villages were randomly sampled from these districts with the restriction that at least 10% of each district's villages had to be selected, yielding 204 villages. Households were then chosen within these villages using the random walk method. Finally, male respondents aged 16 years and older were randomly selected from these households using a Kish grid.
Treatment: 
Four endorsement questions for which respondents were asked to assess their level of support for each proposal on a five-point scale.
Treatment administration: 
Face-to-face interview
Outcome measures: 
Support for the International Security Assistance Force (ISAF)
Archive date: 
2015
Archive contributor: 
Limor Peer
Owner: 
Authors
Owner contact: 

isps(at)yale(dot)edu

Terms of use: 

Academic, non-commercial; see ISPS Terms of Use http://isps.yale.edu/research/data

Discipline: 
Area of study: 
Data file numbersort descending Description File format Size File url
D120F01 ReadMe file ; MANIFEST Adobe Acrobat (10.0.3) .pdf 41984 Download file
D120F02 ReadMe file ; MANIFEST.2 Adobe Acrobat (10.0.3) .pdf 39936 Download file
D120F03 ReadMe file ; MANIFEST.3 Adobe Acrobat (10.0.3) .pdf 38912 Download file
D120F04 Dataset ; 2014_data Rdata 117760 Download file
D120F05 Dataset ; results-combine Rdata 122006528 Download file
D120F06 Dataset ; results-endorse Rdata 9412 Download file
D120F07 Dataset ; results-endorse-dropQ1 Rdata 9010176 Download file
D120F08 Dataset ; results-endorse-dropQ2 Rdata 11021312 Download file
D120F09 Dataset ; results-endorse-dropQ3 Rdata 15084544 Download file
D120F10 Dataset ; results-endorse-dropQ4 Rdata 304522240 Download file
D120F11 Dataset ; results-list Rdata 83314688 Download file
D120F12 Program file ; combineModel R 5120 Download file
D120F13 Program file ; endorseModel R 7168 Download file
D120F14 Program file ; endorseModelDropPolicy R 7168 Download file
D120F15 Program file ; listModel R 4096 Download file
D120F16 Program file ; replication R 71680 Download file
D120F17 Supplementary Materials ; endorse_1.2.1.tar.gz gz 88064 Download file
D120F18 Supplementary Materials ; list_6.0.tar Adobe Acrobat (10.0.3) .pdf 119808 Download file
D120F19 ReadMe file ; ReadMe.pdf Adobe Acrobat (10.0.3) .pdf 35840 Download file
D120F20 Output file ; CoefsApproachCompare.pdf Adobe Acrobat (10.0.3) .pdf 5120 Download file
D120F21 Output file ; CoefsCERPCompare.pdf Adobe Acrobat (10.0.3) .pdf 6144 Download file
D120F22 Output file ; CoefsControlCompare.pdf Adobe Acrobat (10.0.3) .pdf 5120 Download file
D120F23 Output file ; CoefsHarmCompare.pdf Adobe Acrobat (10.0.3) .pdf 5120 Download file
D120F24 Output file ; CompareEndorseListProvince.pdf Adobe Acrobat (10.0.3) .pdf 19456 Download file
D120F25 Output file ; CompareScatterByViolenceControl-ISAF.pdf Adobe Acrobat (10.0.3) .pdf 4096 Download file
D120F26 Output file ; CompareScatterEndorseList-ISAF.pdf Adobe Acrobat (10.0.3) .pdf 12288 Download file
D120F27 Output file ; regressions1 Adobe Acrobat (10.0.3) .pdf 22528 Download file
D120F28 Output file ; regressions2 Adobe Acrobat (10.0.3) .pdf 23552 Download file
D120F29 Output file ; SupportCompare.pdf Adobe Acrobat (10.0.3) .pdf 5120 Download file
D120F30 Output file ; SupportCompareDropPolicy.pdf Adobe Acrobat (10.0.3) .pdf 5120 Download file
D120F31 Dataset ; data csv 1087488 Download file
D120F32 Codebook ; data XML 84992 Download file
D120F33 Metadata record Adobe Acrobat (10.0.3) .pdf 211968 Download file