From 3942a9ff2055d676fba7ac68e6627f4624ccf5e8 Mon Sep 17 00:00:00 2001 From: Jason Yang Date: Mon, 29 Jun 2026 16:06:13 -0700 Subject: [PATCH] CDI processing --- .../level-participant_source-cdi_data.csv | 500 +- ...cipant_source-cdi_data_with_percentile.csv | 6112 +++++++++++++++++ ...le_scores_words_produced_boys_weighted.csv | 21 + ...e_scores_words_produced_girls_weighted.csv | 21 + ...words_produced_level_iia_boys_weighted.csv | 21 + ...ords_produced_level_iia_girls_weighted.csv | 21 + data/metadata/level-survey_added-mapping.csv | 125 + .../cdi_preprocessing/CDI_processing.qmd | 132 +- .../percentile_rank_calculation.qmd | 154 + 9 files changed, 6727 insertions(+), 380 deletions(-) create mode 100644 data/main/data_to_analyze/level-participant_source-cdi_data_with_percentile.csv create mode 100644 data/metadata/cdi/fitted_percentile_scores_words_produced_boys_weighted.csv create mode 100644 data/metadata/cdi/fitted_percentile_scores_words_produced_girls_weighted.csv create mode 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18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6042",6042,"thank you","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6043",6043,"carry","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6044",6044,"chase","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6045",6045,"dump","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6046",6046,"finish","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6047",6047,"fit","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6048",6048,"hug","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6049",6049,"listen","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6050",6050,"like","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6051",6051,"pretend","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6052",6052,"rip","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6053",6053,"shake","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6054",6054,"taste","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6055",6055,"gentle","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6056",6056,"think","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6057",6057,"wish","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6058",6058,"all gone","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6059",6059,"cold","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6060",6060,"fast","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6061",6061,"happy","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6062",6062,"hot","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6063",6063,"last","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6064",6064,"tiny","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6065",6065,"wet","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6066",6066,"after","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6067",6067,"day","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6068",6068,"tonight","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6069",6069,"our","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6070",6070,"them","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6071",6071,"this","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6072",6072,"us","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6073",6073,"where","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6074",6074,"beside","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6075",6075,"down","cdi_words","2A","produces",1,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6076",6076,"under","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6077",6077,"all","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6078",6078,"much","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6079",6079,"could","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6080",6080,"need","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6081",6081,"would","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6082",6082,"if","cdi_words","2A","produces",NA,0,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 +"6083",6083,"Sometimes","combine","2A","combine",2,1,157,2026-04-09 08:59:38,"VVI172",690,"f","5/26/03",25,45 +"6084",6084,"Often","combine","2A","combine",3,1,140,2026-03-08 19:06:56,"VVI141",750,"f","2/14/26",55,77 +"6085",6085,"Sometimes","combine","2A","combine",2,1,248,2026-02-18 10:40:52,"VVI148",630,"f","2/18/26",75,67 +"6086",6086,"Not Yet","combine","2A","combine",1,1,105,2026-04-17 16:36:07,"VVI190",570,"m","6/26/04",10,6 +"6087",6087,"Not Yet","combine","2A","combine",1,1,92,2026-03-07 09:16:09,"VVI174",690,"m","7/26/03",5,10 +"6088",6088,"Not Yet","combine","2A","combine",1,1,66,2026-03-05 17:04:08,"VVI173",690,"f","5/26/03",0,6 +"6089",6089,"Often","combine","2A","combine",3,1,178,2026-05-18 20:50:22,"VVI212",840,"f","5/19/26",10,54 +"6090",6090,"Sometimes","combine","2A","combine",2,1,97,2026-03-08 18:23:32,"VVI165",720,"m","2/26/26",5,13 +"6091",6091,"Often","combine","2A","combine",3,1,123,2026-03-09 13:10:25,"VVI143",690,"f","2/16/26",45,58 +"6092",6092,"Often","combine","2A","combine",3,1,159,2026-03-09 16:05:40,"VVI161",630,"m","2/23/26",50,40 +"6093",6093,"Sometimes","combine","2A","combine",2,1,357,2026-04-28 18:46:17,"VVI199",570,"f","4/22/26",60,44 +"6094",6094,"Often","combine","2A","combine",3,1,178,2026-02-19 14:13:41,"VVI152",600,"f","2/19/26",45,42 +"6095",6095,"Often","combine","2A","combine",3,1,165,2026-03-13 08:25:10,"VVI176",750,"f","3/13/26",20,50 +"6096",6096,"Sometimes","combine","2A","combine",2,1,98,2026-03-08 17:02:49,"VVI153",600,"f","2/19/26",5,15 +"6097",6097,"Often","combine","2A","combine",3,1,209,2026-04-17 16:06:34,"VVI180",720,"m","3/25/26",85,88 +"6098",6098,"Often","combine","2A","combine",3,1,129,2026-03-08 21:48:11,"VVI159",630,"m","2/22/26",35,27 +"6099",6099,"Sometimes","combine","2A","combine",2,1,128,2026-03-08 17:19:57,"VVI140",630,"m","2/13/26",25,21 +"6100",6100,"Sometimes","combine","2A","combine",2,1,768,2026-05-25 19:45:03,"VVI217",600,"m","5/26/26",45,31 +"6101",6101,"Not Yet","combine","2A","combine",1,1,137,2026-03-14 07:58:28,"VVI177",570,"m","3/14/26",20,13 +"6102",6102,"Often","combine","2A","combine",3,1,132,2026-03-09 13:00:56,"VVI139",630,"m","2/13/26",50,38 +"6103",6103,"Often","combine","2A","combine",3,1,161,2026-02-21 16:30:14,"VVI157",660,"f","2/21/26",45,52 +"6104",6104,"Sometimes","combine","2A","combine",2,1,123,2026-03-09 05:11:33,"VVI154",630,"m","2/20/26",35,27 +"6105",6105,"Often","combine","2A","combine",3,1,296,2026-04-28 17:33:28,"VVI200",630,"f","4/23/26",60,57 +"6106",6106,"Sometimes","combine","2A","combine",2,1,99,2026-04-08 09:55:56,"VVI170",720,"f","3/26/03",0,15 +"6107",6107,"Often","combine","2A","combine",3,1,241,2026-03-27 15:21:55,"VVI181",690,"f","3/27/26",20,39 +"6108",6108,"Sometimes","combine","2A","combine",2,1,116,2026-03-15 16:54:18,"VVI147",630,"f","2/17/26",20,32 +"6109",6109,"Not Yet","combine","2A","combine",1,1,266,2026-04-17 13:59:28,"VVI182",660,"m","3/28/26",15,15 +"6110",6110,"Often","combine","2A","combine",3,1,204,2026-04-17 19:39:18,"VVI175",570,"m","10/26/03",55,34 +"6111",6111,"Often","combine","2A","combine",3,1,169,2026-03-08 18:57:22,"VVI155",570,"m","2/20/26",65,41 diff --git a/data/metadata/cdi/fitted_percentile_scores_words_produced_boys_weighted.csv b/data/metadata/cdi/fitted_percentile_scores_words_produced_boys_weighted.csv new file mode 100644 index 0000000..2f19a63 --- /dev/null +++ b/data/metadata/cdi/fitted_percentile_scores_words_produced_boys_weighted.csv @@ -0,0 +1,21 @@ +Percentile_Rank,Age_8_months,Age_9_months,Age_10_months,Age_11_months,Age_12_months,Age_13_months,Age_14_months,Age_15_months,Age_16_months,Age_17_months,Age_18_months +99,24,29,33,38,44,50,56,63,69,75,79 +95,14,17,20,24,29,35,41,47,54,61,68 +90,9,12,14,18,22,27,32,38,45,53,60 +85,7,9,11,14,17,22,27,33,39,46,54 +80,5,7,9,11,14,18,23,28,34,41,48 +75,4,5,7,9,12,15,19,24,30,36,44 +70,3,4,5,7,10,13,16,21,26,33,39 +65,2,3,4,6,8,11,14,18,23,29,36 +60,2,2,3,5,7,9,12,16,20,26,32 +55,1,2,3,4,5,8,10,14,18,23,29 +50,1,1,2,3,4,6,9,12,15,20,25 +45,1,1,2,2,4,5,7,10,13,17,22 +40,0,1,1,2,3,4,6,8,11,15,20 +35,0,0,1,1,2,3,5,7,9,13,17 +30,0,0,1,1,2,2,4,5,8,11,14 +25,0,0,0,1,1,2,3,4,6,9,12 +20,0,0,0,0,1,1,2,3,5,7,9 +15,0,0,0,0,0,1,1,2,3,5,7 +10,0,0,0,0,0,0,1,1,2,3,4 +5,0,0,0,0,0,0,0,0,1,1,2 diff --git a/data/metadata/cdi/fitted_percentile_scores_words_produced_girls_weighted.csv b/data/metadata/cdi/fitted_percentile_scores_words_produced_girls_weighted.csv new file mode 100644 index 0000000..145f1a0 --- /dev/null +++ b/data/metadata/cdi/fitted_percentile_scores_words_produced_girls_weighted.csv @@ -0,0 +1,21 @@ +Percentile_Rank,Age_8_months,Age_9_months,Age_10_months,Age_11_months,Age_12_months,Age_13_months,Age_14_months,Age_15_months,Age_16_months,Age_17_months,Age_18_months +99,7,10,15,21,29,39,51,63,75,84,88 +95,4,6,9,13,19,27,36,48,61,73,83 +90,3,5,7,10,15,21,29,39,51,65,77 +85,3,4,6,8,12,17,24,33,44,57,71 +80,2,3,5,7,10,14,20,28,39,51,65 +75,2,3,4,6,8,12,17,24,34,46,59 +70,2,2,3,5,7,10,15,21,30,41,54 +65,1,2,3,4,6,9,13,18,26,36,48 +60,1,2,2,4,5,8,11,16,23,32,43 +55,1,1,2,3,4,6,9,14,20,28,38 +50,1,1,2,3,4,5,8,12,17,24,33 +45,1,1,1,2,3,5,7,10,14,20,29 +40,1,1,1,2,3,4,6,8,12,17,24 +35,0,1,1,1,2,3,5,7,10,14,20 +30,0,1,1,1,2,2,4,5,8,11,16 +25,0,0,1,1,1,2,3,4,6,9,12 +20,0,0,0,1,1,1,2,3,4,6,9 +15,0,0,0,0,1,1,1,2,3,4,6 +10,0,0,0,0,0,1,1,1,2,2,3 +5,0,0,0,0,0,0,0,0,1,1,1 diff --git a/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_boys_weighted.csv b/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_boys_weighted.csv new file mode 100644 index 0000000..c03658f --- /dev/null +++ b/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_boys_weighted.csv @@ -0,0 +1,21 @@ +Percentile_Rank,Age_16_months,Age_17_months,Age_18_months,Age_19_months,Age_20_months,Age_21_months,Age_22_months,Age_23_months,Age_24_months,Age_25_months,Age_26_months,Age_27_months,Age_28_months,Age_29_months,Age_30_months +99,67,74,80,86,90,94,97,98,99,100,100,100,100,100,100 +95,52,59,66,72,79,85,90,93,96,98,99,100,100,100,100 +90,44,50,57,63,70,77,83,88,92,95,97,98,99,100,100 +85,38,44,50,57,64,70,77,83,88,92,95,97,98,99,100 +80,33,39,45,51,58,65,72,78,83,88,92,95,97,98,99 +75,30,35,40,46,53,60,66,73,79,84,89,92,95,97,99 +70,27,31,36,42,48,55,62,68,75,80,85,90,93,96,98 +65,24,28,33,38,44,50,57,64,70,76,82,86,90,94,96 +60,21,25,30,35,40,46,52,59,65,72,77,83,87,91,94 +55,19,23,27,31,36,42,48,54,61,67,73,79,84,88,92 +50,17,20,24,28,33,38,44,50,56,62,68,74,80,84,89 +45,15,18,21,25,29,34,40,45,51,57,63,69,75,80,85 +40,13,16,19,22,26,30,35,41,46,52,58,64,70,75,81 +35,11,13,16,19,23,27,31,36,41,47,52,58,64,70,75 +30,9,11,14,16,20,23,27,31,36,41,46,52,58,64,69 +25,8,9,11,14,16,19,23,27,31,35,40,45,51,56,62 +20,6,8,9,11,13,16,19,22,25,29,34,38,43,48,54 +15,5,6,7,9,10,12,14,17,20,23,27,30,35,39,44 +10,3,4,5,6,7,8,10,12,14,16,19,22,25,29,32 +5,2,2,3,3,4,5,5,6,8,9,10,12,14,16,19 diff --git a/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_girls_weighted.csv b/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_girls_weighted.csv new file mode 100644 index 0000000..5bf7796 --- /dev/null +++ b/data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_girls_weighted.csv @@ -0,0 +1,21 @@ +Percentile_Rank,Age_16_months,Age_17_months,Age_18_months,Age_19_months,Age_20_months,Age_21_months,Age_22_months,Age_23_months,Age_24_months,Age_25_months,Age_26_months,Age_27_months,Age_28_months,Age_29_months,Age_30_months +99,66,72,78,83,87,91,95,97,98,99,100,100,100,100,100 +95,54,60,66,72,78,83,88,92,95,97,99,99,100,100,100 +90,47,53,59,65,71,77,82,87,91,95,97,99,99,100,100 +85,42,48,54,60,66,72,78,83,88,92,95,97,99,100,100 +80,39,44,50,56,62,68,74,80,85,90,93,96,98,99,100 +75,36,41,46,52,58,65,71,77,82,87,91,94,97,98,99 +70,33,38,43,49,55,61,67,73,79,84,89,93,95,98,99 +65,30,35,40,46,52,58,64,70,76,81,86,90,94,96,98 +60,28,33,38,43,49,55,61,67,73,79,84,88,92,95,97 +55,26,30,35,40,46,52,58,64,70,76,81,86,90,93,96 +50,24,28,33,38,43,49,55,61,67,73,78,83,88,91,95 +45,22,26,30,35,40,46,52,57,63,69,75,80,85,89,93 +40,20,24,28,33,38,43,48,54,60,66,71,77,82,86,90 +35,18,22,26,30,35,40,45,51,56,62,68,73,78,83,88 +30,16,20,23,27,32,37,42,47,52,58,64,69,74,79,84 +25,15,18,21,25,29,33,38,43,48,54,59,64,70,75,80 +20,13,15,18,22,26,30,34,39,44,49,54,59,64,69,74 +15,11,13,16,19,22,26,30,34,38,43,48,53,57,62,67 +10,8,10,13,15,18,21,25,28,32,36,40,45,49,53,58 +5,6,7,9,11,13,15,18,21,24,27,30,34,37,40,44 diff --git a/data/metadata/level-survey_added-mapping.csv b/data/metadata/level-survey_added-mapping.csv new file mode 100644 index 0000000..8e62eb6 --- /dev/null +++ b/data/metadata/level-survey_added-mapping.csv @@ -0,0 +1,125 @@ +question_group,label_code,response_label +Q1,1,sock +Q1,103,bathtub +Q1,126,shower +Q1,127,balloon +Q1,128,dresser +Q1,129,kite +Q1,130,camel +Q1,131,elephant +Q1,132,ladybug +Q1,133,cloud +Q1,134,tree +Q1,135,zipper +Q1,136,crow +Q1,137,penguin +Q1,138,seahorse +Q1,139,duck +Q1,140,chicken +Q1,141,butterfly +Q1,142,lizard +Q1,143,walrus +Q1,144,snake +Q1,145,truck +Q1,146,car +Q1,147,airplane +Q2,1,baa baa +Q2,2,meow +Q2,3,ouch +Q2,4,uh oh +Q2,5,woof woof +Q2,6,bear +Q2,7,bird +Q2,8,cat +Q2,9,dog +Q2,10,duck +Q2,11,horse +Q2,12,airplane +Q2,13,boat +Q2,14,car +Q2,15,ball +Q2,16,book +Q2,17,game +Q2,18,applesauce +Q2,19,candy +Q2,20,coke +Q2,21,cracker +Q2,22,juice +Q2,23,meat +Q2,24,milk +Q2,25,peas +Q2,26,hat +Q2,27,necklace +Q2,28,shoe +Q2,29,sock +Q2,30,chin +Q2,31,ear +Q2,32,hand +Q2,33,leg +Q2,34,broom +Q2,35,comb +Q2,36,mop +Q2,37,plate +Q2,38,trash +Q2,39,tray +Q2,40,towel +Q2,41,bed +Q2,42,bedroom +Q2,43,bench +Q2,44,oven +Q2,45,stairs +Q2,46,flag +Q2,47,rain +Q2,48,star +Q2,49,swing +Q2,50,school +Q2,51,sky +Q2,52,party +Q2,53,friend +Q2,54,mommy +Q2,55,person +Q2,56,bye +Q2,57,hi +Q2,58,no +Q2,59,shopping +Q2,60,thank you +Q2,61,carry +Q2,62,chase +Q2,63,dump +Q2,64,finish +Q2,65,fit +Q2,66,hug +Q2,67,listen +Q2,68,like +Q2,69,pretend +Q2,70,rip +Q2,71,shake +Q2,72,taste +Q2,73,gentle +Q2,74,think +Q2,75,wish +Q2,76,all gone +Q2,77,cold +Q2,78,fast +Q2,79,happy +Q2,80,hot +Q2,81,last +Q2,82,tiny +Q2,83,wet +Q2,84,after +Q2,85,day +Q2,86,tonight +Q2,87,our +Q2,88,them +Q2,89,this +Q2,90,us +Q2,91,where +Q2,92,beside +Q2,93,down +Q2,94,under +Q2,95,all +Q2,96,much +Q2,97,could +Q2,98,need +Q2,99,would +Q2,100,if diff --git a/preprocessing/cdi_preprocessing/CDI_processing.qmd b/preprocessing/cdi_preprocessing/CDI_processing.qmd index 3a3a2ab..dfc8752 100644 --- a/preprocessing/cdi_preprocessing/CDI_processing.qmd +++ b/preprocessing/cdi_preprocessing/CDI_processing.qmd @@ -141,136 +141,8 @@ cdi2a_long <- cdi2a_cleaned |> ``` ```{r} -# make a mapping table -# TODO: make CSV instead -words2a <- tibble::tribble( - ~question_group, ~label_code, ~response_label, - "Q1", 1, "sock", - "Q1", 103, "bathtub", - "Q1", 126, "shower", - "Q1", 127, "balloon", - "Q1", 128, "dresser", - "Q1", 129, "kite", - "Q1", 130, "camel", - "Q1", 131, "elephant", - "Q1", 132, "ladybug", - "Q1", 133, "cloud", - "Q1", 134, "tree", - "Q1", 135, "zipper", - "Q1", 136, "crow", - "Q1", 137, "penguin", - "Q1", 138, "seahorse", - "Q1", 139, "duck", - "Q1", 140, "chicken", - "Q1", 141, "butterfly", - "Q1", 142, "lizard", - "Q1", 143, "walrus", - "Q1", 144, "snake", - "Q1", 145, "truck", - "Q1", 146, "car", - "Q1", 147, "airplane", - - "Q2", 1, "baa baa", - "Q2", 2, "meow", - "Q2", 3, "ouch", - "Q2", 4, "uh oh", - "Q2", 5, "woof woof", - "Q2", 6, "bear", - "Q2", 7, "bird", - "Q2", 8, "cat", - "Q2", 9, "dog", - "Q2", 10, "duck", - "Q2", 11, "horse", - "Q2", 12, "airplane", - "Q2", 13, "boat", - "Q2", 14, "car", - "Q2", 15, "ball", - "Q2", 16, "book", - "Q2", 17, "game", - "Q2", 18, "applesauce", - "Q2", 19, "candy", - "Q2", 20, "coke", - "Q2", 21, "cracker", - "Q2", 22, "juice", - "Q2", 23, "meat", - "Q2", 24, "milk", - "Q2", 25, "peas", - "Q2", 26, "hat", - "Q2", 27, "necklace", - "Q2", 28, "shoe", - "Q2", 29, "sock", - "Q2", 30, "chin", - "Q2", 31, "ear", - "Q2", 32, "hand", - "Q2", 33, "leg", - "Q2", 34, "broom", - "Q2", 35, "comb", - "Q2", 36, "mop", - "Q2", 37, "plate", - "Q2", 38, "trash", - "Q2", 39, "tray", - "Q2", 40, "towel", - "Q2", 41, "bed", - "Q2", 42, "bedroom", - "Q2", 43, "bench", - "Q2", 44, "oven", - "Q2", 45, "stairs", - "Q2", 46, "flag", - "Q2", 47, "rain", - "Q2", 48, "star", - "Q2", 49, "swing", - "Q2", 50, "school", - "Q2", 51, "sky", - "Q2", 52, "party", - "Q2", 53, "friend", - "Q2", 54, "mommy", - "Q2", 55, "person", - "Q2", 56, "bye", - "Q2", 57, "hi", - "Q2", 58, "no", - "Q2", 59, "shopping", - "Q2", 60, "thank you", - "Q2", 61, "carry", - "Q2", 62, "chase", - "Q2", 63, "dump", - "Q2", 64, "finish", - "Q2", 65, "fit", - "Q2", 66, "hug", - "Q2", 67, "listen", - "Q2", 68, "like", - "Q2", 69, "pretend", - "Q2", 70, "rip", - "Q2", 71, "shake", - "Q2", 72, "taste", - "Q2", 73, "gentle", - "Q2", 74, "think", - "Q2", 75, "wish", - "Q2", 76, "all gone", - "Q2", 77, "cold", - "Q2", 78, "fast", - "Q2", 79, "happy", - "Q2", 80, "hot", - "Q2", 81, "last", - "Q2", 82, "tiny", - "Q2", 83, "wet", - "Q2", 84, "after", - "Q2", 85, "day", - "Q2", 86, "tonight", - "Q2", 87, "our", - "Q2", 88, "them", - "Q2", 89, "this", - "Q2", 90, "us", - "Q2", 91, "where", - "Q2", 92, "beside", - "Q2", 93, "down", - "Q2", 94, "under", - "Q2", 95, "all", - "Q2", 96, "much", - "Q2", 97, "could", - "Q2", 98, "need", - "Q2", 99, "would", - "Q2", 100, "if", -) +# get mapping table +words2a <- read_csv(here("data/metadata/level-survey_added-mapping.csv"), show_col_types = FALSE) ``` ```{r} diff --git a/preprocessing/cdi_preprocessing/percentile_rank_calculation.qmd b/preprocessing/cdi_preprocessing/percentile_rank_calculation.qmd new file mode 100644 index 0000000..1f520e8 --- /dev/null +++ b/preprocessing/cdi_preprocessing/percentile_rank_calculation.qmd @@ -0,0 +1,154 @@ +--- +title: "percentile_calculation" +format: html +editor: visual +--- + +```{r} +library(tidyverse) +library(dplyr) +library(dotenv) +library(here) +library(tibble) +library(lubridate) + +env_file = here(".env") +load_dot_env(file = env_file) + +SERVER_PATH <- Sys.getenv("SERVER_PATH") +``` + +```{r} +# load preprocessed cdi data and each percentile tables +cdi1_girl <- read_csv(here("data/metadata/cdi/fitted_percentile_scores_words_produced_girls_weighted.csv")) +cdi1_boy <- read_csv(here("data/metadata/cdi/fitted_percentile_scores_words_produced_boys_weighted.csv")) +cdi2a_girl <- read_csv(here("data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_girls_weighted.csv")) +cdi2a_boy <- read_csv(here("data/metadata/cdi/fitted_percentile_scores_words_produced_level_iia_boys_weighted.csv")) +cdi_with_subject_data <- read_csv(here("data/main/data_to_analyze/level-participant_source-cdi_data.csv")) +``` + +```{r} +# function to find percentile rank +find_percentile <- function(age, score, table){ + column <- table[[age]] + result <- table |> + filter(score >= column) |> + pull(Percentile_Rank) + if (length(result) == 0){ + result <- 0 + } + else{ + result <- max(result) + } + result +} +``` + +```{r} +# cdi1 girl +cdi1_girl_score <- cdi_with_subject_data |> + filter(survey_type == "1" & gender == "f" & word_type == "cdi_words" & type == "produces") |> + mutate(age_rounded = paste0("Age_", age_rounded / 30, "_months")) |> + group_by(local_id, age_rounded) |> + summarise(n = sum(responded, na.rm = TRUE), .groups = "drop") + +cdi1_girl_percentile <- cdi1_girl_score |> + rowwise() |> + mutate(percentile_rank = find_percentile(age_rounded, n, cdi1_girl)) +``` + +```{r} +# cdi1 boy +cdi1_boy_score <- cdi_with_subject_data |> + filter(survey_type == "1" & gender == "m" & word_type == "cdi_words" & type == "produces") |> + mutate(age_rounded = paste0("Age_", age_rounded / 30, "_months")) |> + group_by(local_id, age_rounded) |> + summarise(n = sum(responded, na.rm = TRUE), .groups = "drop") + +cdi1_boy_percentile <- cdi1_boy_score |> + rowwise() |> + mutate(percentile_rank = find_percentile(age_rounded, n, cdi1_boy)) +``` + +```{r} +# cdi2a girl +cdi2a_girl_score <- cdi_with_subject_data |> + filter(survey_type == "2A" & gender == "f" & word_type == "cdi_words" & type == "produces")|> mutate(age_rounded = paste0("Age_", age_rounded / 30, "_months")) |> + group_by(local_id, age_rounded) |> + summarise(n = sum(responded, na.rm = TRUE), .groups = "drop") + +cdi2a_girl_percentile <- cdi2a_girl_score |> + rowwise() |> + mutate(percentile_rank = find_percentile(age_rounded, n, cdi2a_girl)) +``` + +```{r} +# cdi2a boy +cdi2a_boy_score <- cdi_with_subject_data |> + filter(survey_type == "2A" & gender == "m" & word_type == "cdi_words" & type == "produces")|> + mutate(age_rounded = paste0("Age_", age_rounded / 30, "_months")) |> + group_by(local_id, age_rounded) |> + summarise(n = sum(responded, na.rm = TRUE), .groups = "drop") + +cdi2a_boy_percentile <- cdi2a_boy_score |> + rowwise() |> + mutate(percentile_rank = find_percentile(age_rounded, n, cdi2a_boy)) +``` + +```{r} +# combine tables +all_percentile <- bind_rows(cdi1_girl_percentile, cdi1_boy_percentile, cdi2a_girl_percentile, cdi2a_boy_percentile) |> mutate(vocabulary_score = n, n = NULL, age_rounded = NULL) + +# merge back to subject data +result <- cdi_with_subject_data |> left_join(all_percentile, by= 'local_id') +``` + +```{r} +# calculate duration of time between completion of study and survey +template <- cdi_with_subject_data |> + distinct(local_id, date_created, StartDate) + +alter_date_formate <- function(date){ + parts <- str_split(date, "/")[[1]] + classifier <- which(parts == "26") + + if (length(classifier) > 1){ + month = parts[1] + day = parts[2] + } + else if (classifier == 2){ + month = parts[3] + day = parts[1] + } + else if (classifier == 3){ + month = parts[1] + day = parts[2] + } + + month = sprintf("%02d", as.integer(month)) + day = sprintf("%02d", as.integer(day)) + result = paste("2026", month, day, sep = '-') + return(result) +} + +template <- template |> + rowwise() |> + mutate(date_created = alter_date_formate(date_created)) |> + mutate(StartDate = str_split(StartDate, " ")[[1]][1]) +``` + +```{r} +# calculate duration +template <- template |> + mutate( + date_created = ymd(date_created), + StartDate = ymd(StartDate), + duration_days = as.integer(StartDate - date_created), + duration_weeks = round(duration_days / 7, 2) + ) +``` + +```{r} +# store result +write.csv(result, here("data/main/data_to_analyze/level-participant_source-cdi_data_with_percentile.csv")) +```