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Dataset Information

Addressing recall bias in (post-)conflict data collection and analysis: lessons from a large-scale health survey in Colombia.


ABSTRACT:

Background

Much applied research on the consequences of conflicts for health suffers from data limitations, particularly the absence of longitudinal data spanning pre-, during- and post-conflict periods for affected individuals. Such limitations often hinder reliable measurement of the causal effects of conflict and their pathways, hampering also the design of effective post-conflict health policies. Researchers have sought to overcome these data limitations by conducting ex-post surveys, asking participants to recall their health and living standards before (or during) conflict. These questions may introduce important analytical biases due to recall error and misreporting.

Methods

We investigate how to implement ex-post health surveys that collect recall data, for conflict-

SUBMITTER: Moreno-Serra R 

PROVIDER: S-EPMC8994310 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature