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Does Priming on Civilizational Identity Shape Attitudes on Foreign Relations in Russia?
Last registered on July 16, 2019

Pre-Trial

Trial Information
General Information
Title
Does Priming on Civilizational Identity Shape Attitudes on Foreign Relations in Russia?
RCT ID
AEARCTR-0004450
Initial registration date
July 15, 2019
Last updated
July 16, 2019 9:21 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
George Washington University
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2019-07-18
End date
2020-09-30
Secondary IDs
Abstract
This study employs a priming experiment to assess whether civilizational identity significantly shapes attitudes toward important questions of foreign relations in Russia. Apart from a control group, randomly selected subsets of individuals in the study are primed to have in mind the category of civilizations generally, the idea that Russia belongs to European civilization specifically, the idea that Russia does not belong to European civilization, and a statement by Russian leader Vladimir Putin that Russia is part of European civilization. The study then assesses whether these different primes are associated with different responses to questions that elicit attitudes on Muslim migration, the Ukraine conflict, US-Russia relations, and Russian economic development prospects relative to the rest of the world. The differences will yield estimates of the extent to which civilizational identity influences attitudes on foreign relations. The study will also explore whether effects vary by whether people think Russia is part of European civilization, by education, by age, by ethnicity, and by geographic place.
External Link(s)
Registration Citation
Citation
Hale, Henry. 2019. "Does Priming on Civilizational Identity Shape Attitudes on Foreign Relations in Russia?." AEA RCT Registry. July 16. https://doi.org/10.1257/rct.4450-1.0.
Former Citation
Hale, Henry. 2019. "Does Priming on Civilizational Identity Shape Attitudes on Foreign Relations in Russia?." AEA RCT Registry. July 16. http://www.socialscienceregistry.org/trials/4450/history/50120.
Experimental Details
Interventions
Intervention(s)
All respondents in a sample of adults in the Russian Federation designed to be nationally representative are posed five questions that are designed to elicit attitudes regarding Muslim migration, the Ukraine conflict, US-Russia relations (two questions), and Russian economic development prospects relative to the rest of the world. The respondents are randomly distributed into five subsamples of approximately equal size, with each subsample receiving a different preamble to the set of questions.
Intervention Start Date
2019-07-18
Intervention End Date
2019-07-24
Primary Outcomes
Primary Outcomes (end points)
Four of the five outcome questions ask people to indicate whether they agree or disagree on a four-point scale with statements that: Muslim migration is bad, the conflict in Ukraine is impossible to resolve peacefully, the US and Russia are doomed to be rivals, and Russia on track to become a leading developed economy. A fifth outcome question asks people to choose from among four ways in which Russia should relate to the United States.
Primary Outcomes (explanation)
The outcomes of interest are the differences in the share of individuals in each treatment subsample who give each answer to the five outcome questions. These differences will enable the researcher to assess the degree to which having civilizational identity in mind in different ways influences expressed attitudes on the outcome questions.
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The experiment (full text attached to this registry) is embedded in the monthly omnibus survey of the highly reputable independent Russian firm Levada Market Research (LMR), using their standard methodology.
Experimental Design Details
The experiment (full text attached to this registry) is embedded in the monthly omnibus survey of the highly reputable independent Russian firm Levada Market Research (LMR), using their regular multi-stage area probability sample* designed to be representative of the adult Russian Federation population. Interviews are conducted face-to-face, with tablets (the CAPI method) used for about four-fifths of the sample. For the remaining roughly one-fifth of the sample, visual aids are presented on and answers are recorded on paper (the PAPI method). Based on data from the Russian state statistical agency in 2015, LMR’s sample is distributed among the country’s eight federal districts and the capital city Moscow, with each district divided into five strata proportionally to adult population size. All cities with a population of over one million are included as self-representative units; in the remaining (non self-representing) strata, probability proportional to size (PPS) is used to elect 1-10 urban settlements (or rural districts in rural areas). The number of interviews in a given stratum is divided equally among selected settlements. In total, 137 primary sampling units (PSUs) are drawn, including 99 urban settlements and 38 rural districts in 48 subjects of the federation (official federation-forming regions). In each selected settlement, two electoral districts (or two villages in a rural district, 18 districts in Moscow, and 8 districts in St. Petersburg) are selected at random from a complete list of electoral districts (or villages where appropriate), resulting in about 280 secondary sampling units (SSUs). Selection of households is accomplished by the random route method using route lists, and one eligible adult per household is selected according to gender, age, and education level. People institutionalized in prisons or hospitals, people conscripted into the military, the homeless, and people living in very remote, difficult-to-access, or extremely small settlements are excluded from the sample.
Randomization Method
Roughly equal proportions of CAPI and PAPI respondents will receive each treatment. For the CAPI respondents in the sample, randomization is achieved using the randomization feature of the software Simpleforms, designed specifically for survey research. For the PAPI respondents in the sample, the research uses the randomization feature of the software Microsoft Excel to randomly assign one of the five versions of the randomized-preamble question described above to the number of each questionnaire to be administered as part of LMR’s omnibus survey. The survey agency then creates single-page “inserts,” with each insert containing only the correct version of the question to be administered for its assigned questionnaire and the number of that assigned questionnaire. The inserts are then inserted into the questionnaire assigned to that insert. The questionnaire itself (independently of the insert) contains not the actual question, but instructions for the enumerator to use the insert and instructions for recording the respondent’s response (count).
Randomization Unit
individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
137 PSUs
Sample size: planned number of observations
1,602 adult residents of the Russian Federation
Sample size (or number of clusters) by treatment arms
Approximately 320 control, 320 each for the four treatments
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
George Washington University
IRB Approval Date
2019-07-02
IRB Approval Number
031629
Analysis Plan

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Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is data collection complete?
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
Reports, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS