class: center middle main-title section-title-3 # In-person<br>session 3 .class-info[ **January 30, 2025** .light[PMAP 8521: Program evaluation<br> Andrew Young School of Policy Studies ] ] --- name: outline class: title title-inv-8 # Plan for today .box-4.medium[{ggplot2} and {dplyr}] -- .box-1.medium[Logic models and evaluation] -- .box-5.medium[Regression FAQs] --- layout: false name: regression class: center middle section-title section-title-4 animated fadeIn # {ggplot2} and {dplyr} --- layout: false name: logic-models class: center middle section-title section-title-1 animated fadeIn # Logic models<br>and evaluation --- layout: true class: middle --- .box-1.large[Logic models as managerial tools] --- .box-1.large[Inputs vs. Activities vs.<br>Outputs vs. Outcomes] --- .box-1.large[Impact theory vs. logic model] --- layout: false class: title title-1 # Impact theory .box-inv-1[Ensure that the theory linking activities to the outcomes is sound!] .center[ <figure> <img src="img/03/psd-impact-theory-arrow.png" alt="PSD impact theory" title="PSD impact theory" width="100%"> </figure> ] --- .center[ <figure> <img src="img/01/psd-logic-model.png" alt="PSD logic model" title="PSD logic model" width="70%"> </figure> ] --- layout: false class: title title-1 # MPA/MPP at GSU .pull-left[ <figure> <img src="img/03/mpp-mission@4x.png" alt="MPP mission" title="MPP mission" width="130%"> </figure> ] .pull-right[ <figure> <img src="img/03/mpa-mission@4x.png" alt="MPA mission" title="MPA mission" width="100%"> </figure> ] ??? Inputs: - Students - Curriculum - Money (grants, tuition) - AYSPS itself - Faculty, staff - Technology (iCollege, PAWS) - Infrastructure - Transportation - State regulations - National accreditation standards - Faculty research Activities: - Classes - Group work - Exams - Internships - Job fairs - Commencement - Studying - Tutoring - Office hours - Advising - Attendance Outputs: - Assignments and projects - Grades - Degree - Jobs - Awards - Network - Debt Outcomes: - Leadership - AYS national ranking - Public service motivation - Critical thinking - Efficient workforce - Income - Better society --- layout: true class: middle --- .box-1.medium[Do people really have the<br>job title "program evaluator"?] -- .box-1.medium[How much does this evaluation stuff cost?] -- .box-1.medium[Can you do scaled-down versions<br>of these evaluations?] ??? <https://www.eval.org/> --- .box-1.medium[Isn't it best to always<br>have an articulated theory?] .box-1.medium[Should implicit theory and articulated theory<br>be the same thing in most cases?] --- .box-1.medium[What if a program exists already<br>and doesn't have a logic model?] --- .box-1.medium[Why would a program aim for final outcomes<br>that can't be measured?] --- .box-1.medium[What should you do if you find that your<br>theory of change (or logic model in general)<br>is wrong in the middle of the program?<br>Is it ethical to stop or readjust?] --- .box-1.medium[How does regression<br>relate to impact evaluation?] --- layout: false name: regression-faqs class: center middle section-title section-title-5 animated fadeIn # Regression FAQs --- layout: true class: middle --- .box-5.medium[Do we care about the actual coefficients<br>or just whether or not they're significant?] -- .box-5.medium[How does significance relate to causation?] -- .box-5.medium[If we can't use statistics to assert causation<br>how are we going to use this information<br>in program evaluation?] --- .box-5.large[What counts as a "good" R²?] --- .center[ <figure> <img src="img/02-class/nice-plot-1.png" alt="Euler diagram" title="Euler diagram" width="45%"> </figure> ] --- .center[ <figure> <img src="img/02-class/plot-diagram-prediction-1.png" alt="R2 prediction" title="R2 prediction" width="75%"> </figure> ] --- .center[ <figure> <img src="img/02-class/plot-diagram-estimation-1.png" alt="R2 estimation" title="R2 estimation" width="75%"> </figure> ] --- .center[ <figure> <img src="img/02-class/prediction-vs-estimation.jpg" alt="R2 estimation vs prediction" title="R2 estimation vs prediction" width="100%"> </figure> ] --- class: middle .box-5.large[Side-by-side regression tables] ---
(1)
(2)
(3)
(4)
(Intercept)
362.307
-5780.831***
-5736.897***
-5433.534***
(283.345)
(305.815)
(307.959)
(286.558)
bill_length_mm
87.415***
6.047
-5.201
(6.402)
(5.180)
(4.860)
flipper_length_mm
49.686***
48.145***
48.209***
(1.518)
(2.011)
(1.841)
sexmale
358.631***
(41.572)
Num.Obs.
342
342
342
333
R2
0.354
0.759
0.760
0.807
R2 Adj.
0.352
0.758
0.759
0.805
AIC
5400.0
5062.9
5063.5
4863.3
BIC
5411.5
5074.4
5078.8
4882.4
Log.Lik.
-2696.987
-2528.427
-2527.741
-2426.664
F
186.443
1070.745
536.626
457.118
RMSE
643.54
393.12
392.34
353.66
+ p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001
--- class: middle .box-5.large[See full documentation and<br>examples for `modelsummary()` [here](https://vincentarelbundock.github.io/modelsummary/articles/modelsummary.html)] --- class: middle .box-5.large[Make nicer tables [with {tinytable}](https://vincentarelbundock.github.io/tinytable/)]