Vietnamese
Academy of Social Sciences (VASS), Hanoi, May 2005
This two-day training course was held May 5-6, 2005
in Hanoi at the Vietnamese Academy of Social Sciences.
It was comprised of the following modules
Introduction:
Overview/Objective of the Training Modules
The introductory session provides an overview of
the training modules to explain how they ‘fit’
together. It then outlines some the key objectives of
the training, namely: i) to provide an understanding
of Q2 –related issues; and ii) to solicit feedback
from the discussants about issues & options for
the pilot studies in Vietnam. The training presents
a balance of theoretical and empirical issues as well
as academic and ‘applied’ analysis.
Module
#1: Q2 History, Conceptual and Definitional Matters
This module provides context to the subsequent modules
by placing the re-emergence of interest in interdisciplinary
studies within a historical context. Next, it weaves
through a range of conceptual and definitional matters
which serve as a foundation for the subsequent modules.
Specifically, it examines the nature of differences
between qual and quant analysis, the different ways
of combining them and the different stages of poverty
analysis.
Module
#2: Q2 in the Analysis of Poverty Correlates & Characteristics:
Issues and Options
The second module addresses a range of issues related
to identifying the poor and determining their characteristics/correlates.
Either implicitly or explicitly all applied poverty
analysis, including say, poverty impact assessment of
programs or policy, must address these issues. It will
contrast how this type of analysis is performed in the
applied micro-economic and PRA traditions and provides
some examples of Best Practice in using mixed methods
in this area.
Module
#3: Q2 in the Analysis of Poverty Causes and Dynamics:
Issues and Options
Module 3 focuses on the use of mixed methods in
the analysis of poverty causes and dynamics. It begins
by outlining the ‘dynamic’ turn in poverty
analysis then outlines contrasting ways of analyzing
causes & dynamics in the applied micro-economic
and PRA/social anthropological traditions. A number
of examples of Best Practice in using mixed methods
in this area are then presented.
Module
#4: Q2 in Poverty Monitoring and Impact Assessment (IA)
This module addresses issues and options in the
application of mixed methods to poverty monitoring and
impact assessment. It first situates different examples
of poverty monitoring and IA within the conceptual framework
for defining Q2 identified in module #1. Next, it addresses
conceptual issues pertaining specifically to poverty
monitoring and impact assessment. The remainder of the
session is devoted to empirical examples of Best Practice
in these areas.
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