462
edits
Changes
Jump to navigation
Jump to search
mLine 1:
Line 1: − [[File:QIA GCwiki Header (EN).png|alt=QIA Workshop Header|frameless|1200x1200px]]+ + + + + + + Line 32:
Line 38: − + Line 42:
Line 48: − + Line 52:
Line 58: − + Line 62:
Line 68: − +
Quantitative Impact Assessment Workshop (view source)
Revision as of 13:30, 11 March 2024
, 11 Marchno edit summary
{{DISPLAYTITLE:<span style="position: absolute; clip: rect(1px 1px 1px 1px); clip: rect(1px, 1px, 1px, 1px);">{{FULLPAGENAME}}</span>}}
[[FR:Académie du numérique de l'EFPC]]
[[FR:Académie du numérique de l'EFPC]]
__NOTOC__
__NOTOC__
[[Atelier sur l'évaluation quantitative de l'impact|[Français]]]
[[File:QIA GCwiki Header (EN).png|frameless|1269x1269px]]
='''Quantitative Impact Assessment (QIA) Workshop (2024)'''=
='''Quantitative Impact Assessment (QIA) Workshop (2024)'''=
{|
{|
| scope="col" width="670" |''Fundamentals'' provides a comprehensive overview of QIA concepts. Participants will learn the difference between program outcomes and program impacts, and be introduced to the common approaches to QIA (such as difference-in-differences, discontinuity estimators, and more). This session also offers a detailed overview of randomized controlled experiments – the gold standard of QIA.
| scope="col" width="670" |''Fundamentals'' provides a comprehensive overview of QIA concepts. Participants will learn the difference between program outcomes and program impacts, and be introduced to the common approaches to QIA (such as difference-in-differences, discontinuity estimators, and more). This session also offers a detailed overview of randomized controlled experiments – the gold standard of QIA.
| scope="col" width="125" |English with bilingual materials
| scope="col" width="125" |English with bilingual materials
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Fundamentals|Session 1 - Agenda and Materials [click here]]]
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Fundamentals|Session 1 - Agenda and Materials <small>[click here]</small>]]
|}
|}
| scope="col" width="670" |''Data'' provides an overview of the data environments available through Statistics Canada. Participants will learn about performing custom tabulations and multivariate analysis, with specific emphasis on the availability of gender and diversity data and Quality of Life data. This session explains how to access existing microdata and overcome data gaps.
| scope="col" width="670" |''Data'' provides an overview of the data environments available through Statistics Canada. Participants will learn about performing custom tabulations and multivariate analysis, with specific emphasis on the availability of gender and diversity data and Quality of Life data. This session explains how to access existing microdata and overcome data gaps.
| scope="col" width="125" |English with bilingual materials
| scope="col" width="125" |English with bilingual materials
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Data|Session 2 - Agenda and Materials [click here]]]
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Data|Session 2 - Agenda and Materials <small>[click here]</small>]]
|}
|}
| scope="col" width="670" |''Case Studies I'' focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage social data. The methods covered are (1) empirical density design, (2) hierarchical linear modelling, and (3) propensity score matching and difference-in-differences.
| scope="col" width="670" |''Case Studies I'' focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage social data. The methods covered are (1) empirical density design, (2) hierarchical linear modelling, and (3) propensity score matching and difference-in-differences.
| scope="col" width="125" |English with bilingual materials
| scope="col" width="125" |English with bilingual materials
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies I|Session 3 - Agenda and Materials [click here]]]
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies I|Session 3 - Agenda and Materials <small>[click here]</small>]]
|}
|}
| scope="col" width="670" |''Case Studies II'' also focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage business microdata. The methods covered are (1) propensity score matching and entropy balancing, (2) matching difference-in-differences, and (3) modified causal forest.
| scope="col" width="670" |''Case Studies II'' also focuses on three real-life examples of QIA methods being applied to evaluate program performance and impact. These case studies primarily leverage business microdata. The methods covered are (1) propensity score matching and entropy balancing, (2) matching difference-in-differences, and (3) modified causal forest.
| scope="col" width="125" |English with bilingual materials
| scope="col" width="125" |English with bilingual materials
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies II|Session 4 - Agenda and Materials [click here]]]
| scope="col" width="210" |[[Quantitative Impact Assessment Workshop/Case Studies II|Session 4 - Agenda and Materials <small>[click here]</small>]]
|}
|}
