Title: Integrating Quantitative and Qualitative Methods for Understanding Poverty
1Integrating Quantitative and Qualitative Methods
for Understanding Poverty
- Principles and Country Case Study
2Initial ignorance what did we know about poverty
without data?
- Impressions press reports sectoral data
- Macroeconomic data
- Very often - some surveys do exists
- often produce contraditory beliefs
- do not contain any comparisons
- do not measure the size of the problem
- do not tell why some people are poor
3Introducing the Case Study Armenia
- What did we know?
- Little - 1993/4 survey was not very useful to
find how many people are poor (daily recalls),
how many people in Armenia? - What did we do to collect more data?
- Building sampling frame - special surveys/ lists
HH LSMS-type survey, UNDP health and education
survey on the same sample
4Quantitative Methods
-
- Generalizing to the population. results
representative. - Standardized approaches permit replication and
validity checks. - Can be used to obtain estimates of the costs or
benefits of policies.
- -
- Information on sensitive subjects difficult to
obtain many groups difficult to reach - No context available for interpreting responses
- Expensive, and long gap between data collection
and results. - Inflexible cant modify the instrument once the
study begins
5Poverty Profile for Armenia What Have We Learned
- Poverty is widespread (54 of the population
using the minimum basket) and deep - Poverty is linked to lack of opportunities
collapse of formal urban labor market, isolation
and low agricultural productivity - Main coping strategies are remittances from
working abroad, family networks and subsistence
agriculture
6Poverty Profile An Example
Consumption per capita is a welfare indicator.
The "food line" is the local cost of a "food
basket" providing 2,100 Cal with adequate
nutritional composition. The higher "poverty
line" adds to the food line the actual
expenditure of the poor on non-food items. The
extreme poverty line is a cost of providing a
daily requirement of 2,100 calories from bread
and oil only.
7Poverty Profile for Armenia The Gaps
- Such a high poverty figure has been challenged by
Armenian Government and experts, we are not that
poor - Findings that some rural poor lack land and are
extermely poor contradicted successes of land
reform - Prevalence of informal activities and seasonal
work abroad raised doubts about accuracy of
poverty incidence (under reporting) - Comparisons with previous surveys not possible -
no information on factors explaining change.
8Qualitative Methods
- Qualitative methods ask how, why and so what
questions, while quantitative methods focus on
what and how
-
- Richly contextual
- Faster and cheaper to conduct and analyze
- Easier to reach isolated groups or populations.
- Methods do not impose responses, and allow
respondent to introduce new issues. - Have a time dimension.
- -
- It is difficult to validate and replicate
findings. - Purposive sampling does not facilitate reliable
generalization - Quality of data very dependent on quality of
interviewer - Difficult to analyze and interpret large numbers
of case studies
9Armenia Findings of the Qualitative Assessment
- Extreme poverty exists, and the poorest are not
able to meet their basic needs - The poorest are unable to cope because
- their low educational level limits ability to
find remunerative work - they lack land, or cannot farm their land
- they are excluded from informal support networks
- they dont receive social assistance, or
assistance is inadequate
10Armenia Findings of the Qualitative Assessment
- New issue undeserving poor
- limits to the social support network, how it
includes certain deserving the government
system mirrors social values about deserving and
undeserving poor and therefore creates a double
jeopardy for those who do not fit into the
categories. - New issue isolation of the poor
- physical isolation - remoteness of rural poor
from social services, markets narrow and
homogenous social contacts (poors networks are
the poor) poor were often sick
11Armenia Combining Qualitative and Quantitative
Methods
- Starting with survey data sampling
- areas selected based on survey poorest sites
- Validation and consistency checks
- responded did report hunger and isolation
- Interpretation of findings
- quality of employment matters, not just the fact
of doing something (gather cans, gather
greens...) - New perspectives/issues
- social exclusion.
12Combining Qualitative and Quantitative Methods
Best Practices
- Integration at different phases
- During the formulation of research instrument
(questions) - During data collection
- During the analysis and interpretation phase
- Integration at different levels of analysis
- Households or project beneficiaries
- Communities
- Analysis of the project or program implementation
process