vislearnlab · 1t1b · Jun 29, 2026
diff --git a/data/main/data_to_analyze/level-participant_source-cdi_data.csv b/data/main/data_to_analyze/level-participant_source-cdi_data.csv
diff --git a/data/main/data_to_analyze/level-participant_source-cdi_data_with_percentile.csv b/data/main/data_to_analyze/level-participant_source-cdi_data_with_percentile.csv
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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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}