CLOSED I-d: Theory-based causal Analysis: Process Tracing, QCA and Pattern-Matching in practice

workshop pitch

description

“There is nothing as practical as a good theory”. This phrase, purportedly coined by Kurt Lewin in the 1940s and later taken up inter alia by Carol Weiss and Ray Pawson resonates well with most evaluators and development practitioners nowadays.

While having been around for more than four decades, over the last decade theory-based evaluation has received new impetus and has become part and parcel of the toolkit of program evaluators across the globe. Most notable, new methodological developments in theory-based causal analysis have surfaced and are increasingly exploited to answer key causal questions that do not lend themselves to (quasi) experimental design. While theory-based causal analysis is not-method specific — it can leverage a variety of quantitative and qualitative approaches — the application of qualitative or quali-quantitative theory-based methods is particularly promising.

This workshop covers the following topics: review of various causal theories and their affiliated theory-based evaluation methods; fundamentals of designing a theory-based case-based causal analysis; applications using within case causal analysis such as Process Tracing; and applications to enhance generalizability of causal claims through cross-case causal analysis (including brief introduction of QCA).

The workshop applies a combination of short lectures, individual and group exercises, and group and plenary discussions.

objectives

After taking this course, the participants have developed an initial sound understanding of various options for designing theory-based causal analysis and how to apply theory-based evaluation in practice.
More specifically, participants will have a greater understanding of:

• Different purposes and uses of various theory-based causal analyses
• Various causal theories that can be used in evaluation
• Good practice in case selection for case-based causal analysis
• Applications of theory-based causal analysis using process tracing
• Good practice in building generalizability of causal claims using cross-case causal analysis (e.g., such as qualitative comparative analysis)

recommended for

The workshop is designed primarily for evaluators or evaluation researchers. It is most suitable for experienced evaluators or evaluators who are well-versed in the basic principles of theory-based evaluation. While the workshop will reach some advanced level in design of quali-quantitative theory-based causal design, the first session will quickly go over some of fundamentals as a refresher on theory-based evaluation.

level

This workshop can be considered “advanced” level. The workshop will target evaluators who have a robust understanding of theories of change and solid notions of evaluation design.

prerequisites

Detailed description

Read the detailed workshop description here soon.