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Measuring Domestic Violence: A New Approach

Last registered on September 29, 2014

Pre-Trial

Trial Information

General Information

Title
Measuring Domestic Violence: A New Approach
RCT ID
AEARCTR-0000517
Initial registration date
September 29, 2014

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
September 29, 2014, 8:41 PM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Primary Investigator

Affiliation
University of Connecticut

Other Primary Investigator(s)

PI Affiliation
Inter-American Development Bank

Additional Trial Information

Status
Completed
Start date
2014-08-04
End date
2014-08-29
Secondary IDs
Abstract
The project designed and implemented list experiments to measure the incidence of domestic violence among rural women in Peru.
External Link(s)

Registration Citation

Citation
Aguero, Jorge and Veronica Frisancho. 2014. "Measuring Domestic Violence: A New Approach." AEA RCT Registry. September 29. https://doi.org/10.1257/rct.517-1.0
Former Citation
Aguero, Jorge and Veronica Frisancho. 2014. "Measuring Domestic Violence: A New Approach." AEA RCT Registry. September 29. https://www.socialscienceregistry.org/trials/517/history/2773
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Domestic violence is a sensitive topic and as such we will find reticent respondents, i.e., those who give false answers with a nonzero probability when an honest answer could reveal that the person has committed or been exposed to a sensitive act. We compare the protocols used by the Peruvian Demographic and Health Survey (DHS) against a new design. The DHS is a nationally representative survey that includes a module to measure domestic violence and has been used in Peru for the past 14 years. Thus, by relying on the DHS methods and questions we will be able to frame our findings relative to well-established measures of violence nationwide. Our alternative method tries to capture violence against women in an innovative way, called list experiments, that is sometimes used in political science (Blair and Imai 2012). In list experiments subjects are provided with a list of statements and asked to answer how many of them are true. Subjects are not asked about which ones are true and therefore, list experiments could provide a more private environment to answer questions on sensitive topics more honesty. In this setting, the control group receives a list of innocuos statements (e.g., "I had breakfast this morning"). The treatment group is read the same list plus one additional sensitive question. In our case, this additional question is about domestic violence (e.g.,"My partner pushed me in the past 12 months"). The mean difference in the response between treatment and control is an estimate of the incidence of the sensitive question.
Intervention Start Date
2014-08-04
Intervention End Date
2014-08-29

Primary Outcomes

Primary Outcomes (end points)
We will compare the incidence of domestic violence as measured by the DHS-style questions against the ones obtained from the list experiments. We will also explore whether the gradients of violence by socioeconomic status are similar under both types of measurement.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We randomly assigned bank clients to two arms. In the first arm, the control group, women were asked about three sets of statements without the sensitive questions. The sets contained 4 questions each. In the second arm, the treatment group, the sets had one extra question. These additional (and sensitive) questions were about sexual and physical violence. As described above, the participants answered how many statements were true and not which were true. To measure the incidence of violence in the control group, we use a DHS-style set of questions.
Experimental Design Details
Randomization Method
Three balls (2 white and one blue) were included in a black bag. The enumerator asked the bank client to extract (without looking) one ball. If blue, women were assigned to the treatment group, otherwise they were in the control.
Randomization Unit
As described above the randomization was done at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
There are 151 banks. However, as described elsewhere, randomization was conducted at the individual level.
Sample size: planned number of observations
We expect to interview around 1800 women.
Sample size (or number of clusters) by treatment arms
Around 500 women will be in the treatment group and the rest in the control.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Because the randomization takes places a the individual level, we will apply the list experiment with the sensitive question to 500 women and the rest will answer the shorter list and the DHS-style questions about violence. This guarantees a MDE of 25% of a standard deviation with a power of 80%.
IRB

Institutional Review Boards (IRBs)

IRB Name
Institutional Review Board Services
IRB Approval Date
2014-07-28
IRB Approval Number
FINCA Peru: Women and Microfinance in Rural Peru
Analysis Plan

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Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
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