Publications by Meng Ye
Document
Introduction The current version re-run the codes of the data analysis. # environment setup to run ordered logit properly options(contrasts = rep("contr.treatment", 2)) Load packages library(tidyverse) # package for data cleaning and plotting library(readxl) library(modelsummary) library(ordinal) # package for ordinal logit regression library...
717 sym R (6854 sym/24 pcs) 5 tbl
Document
Introduction The current version re-run the codes of the data analysis. # environment setup to run ordered logit properly options(contrasts = rep("contr.treatment", 2)) Load packages library(tidyverse) # package for data cleaning and plotting library(readxl) library(modelsummary) library(ordinal) # package for ordinal logit regression library...
375 sym R (5853 sym/17 pcs) 4 tbl
Document
7/31/2024 Add size (total stuff) control to the models. Updated with newly derived variables. # environment setup to run ordered logit properly options(contrasts = rep("contr.treatment", 2)) This chunk loads all the packages to use #packages for ordered logit library(tidyverse) # package for data cleaning and plotting library(readxl) # package f...
1038 sym R (17056 sym/28 pcs) 4 img 7 tbl
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Notes for edits on 7/2/2024 Add the model with health/social care categorization rather than the eight service types add the cross-tab of rating by form and health/social care add random effects model with 8 service types, random effects model with health/social care won’t run Notes for editting 1/4/2024 I only kept the model we chose to use...
1736 sym R (8562 sym/16 pcs) 8 tbl
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Notes for edits on 7/2/2024 Add the model with health/social care categorization rather than the eight service types Notes for editting 1/4/2024 I only kept the model we chose to use for ARNOVA 2023 The data used in the analysis is the version MERGING in provider sheet data. We keep 2 levels for both government and CICs. Re-ran descriptive stat...
1419 sym R (6687 sym/12 pcs) 5 tbl
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Notes for edits on 7/2/2024 Add the model with health/social care categorization rather than the eight service types add the cross-tab of rating by form and health/social care Notes for editting 1/4/2024 I only kept the model we chose to use for ARNOVA 2023 The data used in the analysis is the version MERGING in provider sheet data. We keep 2 ...
1500 sym R (6767 sym/13 pcs) 6 tbl
Document
Read me This is the data cleaning file for generating ipw for the CQC locations selecting into Skills for Care data set. The overall steps is as follows Take the anonymized combined CQC-SfC data, generate a dummy variable based on whether SfC establishment_id is NA or not, select_in Filter out the Overall rating rows and calculate the ipw at t...
1120 sym R (10316 sym/26 pcs) 1 tbl
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Updated with newly derived variables # environment setup to run ordered logit properly options(contrasts = rep("contr.treatment", 2)) This chunk loads all the packages to use #packages for ordered logit library(tidyverse) # package for data cleaning and plotting library(readxl) # package for reading excel file library(broom) # extracting model ...
583 sym R (13800 sym/23 pcs) 7 tbl
Document
Notes for editting 1/4/2024 I only kept the model we chose to use for ARNOVA 2023 The data used in the analysis is the version MERGING in provider sheet data. We keep 2 levels for both government and CICs. Re-ran descriptive statistics to better suit the need for the AOM draft Notes for updates 10/17/2023 I have checked the false positive CIC ...
1108 sym R (5057 sym/10 pcs) 4 tbl
Document
Updated with newly derived variables # environment setup to run ordered logit properly options(contrasts = rep("contr.treatment", 2)) This chunk loads all the packages to use #packages for ordered logit library(tidyverse) # package for data cleaning and plotting library(readxl) # package for reading excel file library(broom) # extracting model ...
280 sym R (4446 sym/9 pcs) 2 tbl