From 7d1652be2e77c5ddb60bf4c3f997ef123c798c06 Mon Sep 17 00:00:00 2001 From: Marty Oehme Date: Fri, 9 Feb 2024 16:53:50 +0100 Subject: [PATCH] chore(notes): Add meeting minutes --- 03-documentation/meeting_2024-02-09.md | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/03-documentation/meeting_2024-02-09.md b/03-documentation/meeting_2024-02-09.md index 1b00f2d..8ed3aa7 100644 --- a/03-documentation/meeting_2024-02-09.md +++ b/03-documentation/meeting_2024-02-09.md @@ -2,10 +2,14 @@ achieved: -- [ ] studies screened +- [ ] remaining study batch screened + - added active labour market policy studies + - starting to wrangle synthesis: + - better categorization for some and did dual categorizations, e.g. job search assistance or subsidized employment/wages partly into ALMP + - Moved away again a little from strict framework adherence to make more sense for the synthesis -> workfware programmes - [ ] focus now: - - table reviewing main findings and strength of evidence + - table reviewing main findings - screen the remaining 200 studies - improve the writing on the synthesis itself - to adhere a little closer to @@ -21,6 +25,21 @@ achieved: - categories overlap sometimes, of course - a study on NREGS in India which has minimum wage effects as primary channel - a study on vocational training which fuses it with workfare program (ALMP) + - I would put the focus on 'per-area' conclusions, not the 'per-study' + - validity visualizations + - built a simple scoring rubric of 0-not fulfilled, 1-implicitly fulfilled, 2-explicitly fulfilled + - internal: (design + method) - (selection bias + measurement bias + confounding bias + performance bias) + - external: (representativeness) - (generalizability concerns + population invalidity + ecological invalidity) + - internal: + - design (observational/qualitative, correlational, causal(quasi-experimental/experimental)) + - confounding variable control (no mention, limits mentioned, limits mentioned and explicitly discussed) + - data collection (not mentioned, sources mentioned, sources/sample size/observation-length given) + - statistical control (no robustness checks, data robustness mentioned, explicit robustness checks) + - biases (no mention, possible biases mentioned, explicitly controlled for/influcence explained) + - external: + - generalizability (no mention, implicitly generalizable, explicitly generalizable) + - representativeness of sample (no mention/sub-national, national, regional/global) + - ecological validity (no mention, implicit policy implication, explicit policy implication) - [ ] TODO - main findings table still remaining