The output below is the result of a t-test between reported ASD diagnosis and missing-ness of a given variabble:

Results

correlation table
missing variable t-statistic with ASD diagnosis p-value std error
inuni 57.4966814560094 0 0.00238854253238911
GCEDUT00 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCAPNT00 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCTRIN00 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCJOBS00 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCLSM0G 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCSTYR00 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0A 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0B 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0C 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0D 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0E 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0F 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0G 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0H 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCASPR0I 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCARRSOC01_TR3 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCARRSOC02_TR3 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCARRSOC03_TR3 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCARRSOC04_TR3 69.9049279172646 0 0.00272505158468397
GCCARRSOC05_TR3 19.0041225144851 7.50970131122914e-80 0.000899511600592272
GCCARRSOC06_TR3 69.9049279172646 0 0.00272505158468397
X_merge 19.0041225144851 7.50970131122914e-80 0.000899511600592272
NEET 19.0041225144851 7.50970131122914e-80 0.000899511600592272
FCCSEX00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDCE0600 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FEMOTION 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FCONDUCT 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FHYPER 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FPEER 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FPROSOC 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FEBDTOT 35.6865796496028 9.25699548951843e-271 0.0016192076902039
fpmentheal 43.0564082101867 0 0.00190347858399337
mcs6SDQparentneuro 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FAREGN00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDHTYP00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDRELP00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDTOTS00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDHLAN00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FDCWRK00 35.6865796496028 9.25699548951843e-271 0.0016192076902039
FOECDUK0 35.6865796496028 9.25699548951843e-271 0.0016192076902039
HHparentcmSDQ 35.6865796496028 9.25699548951843e-271 0.0016192076902039
CCPSTSCORE 30.9197840041786 2.87129223353558e-205 0.00142342956311517
CCNVTSCORE 30.9197840041786 2.87129223353558e-205 0.00142342956311517
CCPCTSCORE 30.9197840041786 2.87129223353558e-205 0.00142342956311517
BASmeanscore 30.9197840041786 2.87129223353558e-205 0.00142342956311517
cognitivedelay 30.9197840041786 2.87129223353558e-205 0.00142342956311517

Dictionary

Dictionary
X Variable_label CLS_information_provider Sweep_Year_Age variable_label
1 inuni Cohort Member Sweep 7 - 2018/19 - 17 years old binary variable: whether or not the CM sees themselves going to university or not
2 GCEDUT00 Cohort Member Sweep 7 - 2018/19 - 17 years old Are you going to school or college full time or part time?
3 GCAPNT00 Cohort Member Sweep 7 - 2018/19 - 17 years old Are you currently doing an Apprenticeship?
4 GCTRIN00 Cohort Member Sweep 7 - 2018/19 - 17 years old Are you currently doing any kind of traineeship, training course or scheme?
5 GCJOBS00 Cohort Member Sweep 7 - 2018/19 - 17 years old And are you currently doing any kind of paid job? Please only include paid jobs, either as an employee or self-employed. If you are on holiday or off sick at the moment, please refer to what you usually do.
6 GCCLSM0G Cohort Member Sweep 7 - 2018/19 - 17 years old Any physical/mental health conditions in last 12 months R7 (A) 7 Mental health
7 GCSTYR00 Cohort Member Sweep 7 - 2018/19 - 17 years old How likely (0-100%) do you think it is that you will go to university?
8 GCASPR0A Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Owning your own home]
9 GCASPR0B Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Having a good car]
10 GCASPR0C Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Earning a lot of money]
11 GCASPR0D Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Having a worthwhile job]
12 GCASPR0E Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Having children]
13 GCASPR0F Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Having a partner or being married]
14 GCASPR0G Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Being famous or making a name for yourself]
15 GCASPR0H Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [Having a personal achievement in sport, the arts or travel etc.]
16 GCASPR0I Cohort Member Sweep 7 - 2018/19 - 17 years old By the time you are 30, which of the following do you think you will have achieved? MC [None of these]
17 GCCARRSOC01_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 1) [truncated to 3 characters]
18 GCCARRSOC02_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 2) [truncated to 2 characters]
19 GCCARRSOC03_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 3) [truncated to 2 characters]
20 GCCARRSOC04_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 4) [truncated to 2 characters]
21 GCCARRSOC05_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 5) [truncated to 2 characters]
22 GCCARRSOC06_TR3 Agency Sweep 7 - 2018/19 - 17 years old What job do you think you will be doing when you are 30? (SOC Coding Mention 6) [truncated to 2 characters]
23 X_merge NA NA NA
24 NEET Cohort Member Sweep 7 - 2018/19 - 17 years old binary variable: CM is neither employement, training, or education at 17 years old
25 FCCSEX00 NA Sweep 6 - 2015/6 - 14 years old CM Sex
26 FCCSEX00 NA Sweep 6 - 2015/6 - 14 years old CM Sex
27 FCCSEX00 NA Sweep 6 - 2015/6 - 14 years old CM Sex
28 FCCSEX00 NA Sweep 6 - 2015/6 - 14 years old CM Sex
29 FDCE0600 NA Sweep 6 - 2015/6 - 14 years old S6 DV CM ethnic group classification - 6 categories
30 FEMOTION NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Emotional Symptoms
31 FCONDUCT NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Conduct Problems
32 FHYPER NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Hyperactivity/Inattention
33 FPEER NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Peer Problems
34 FPROSOC NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Prosocial
35 FEBDTOT NA Sweep 6 - 2015/6 - 14 years old S6 DV Parent-reported CM SDQ Total Difficulties
36 fpmentheal Parent with highest score Sweep 6 - 2018/19 - 14 years old worse score for both parent’s on Kessler 6
37 mcs6SDQparentneuro NA NA NA
38 FAREGN00 NA Sweep 6 - 2015/6 - 14 years old Interview Former Government Office Region (GOR)
39 FDHTYP00 NA Sweep 6 - 2015/6 - 14 years old S6 DV Parents/Carers in Household
40 FDRELP00 NA Sweep 6 - 2015/6 - 14 years old S6 DV Relationship between Parents/Carers in Household
41 FDTOTS00 NA Sweep 6 - 2015/6 - 14 years old S6 DV Number of sibs in hhold plus CMs
42 FDHLAN00 NA Sweep 6 - 2015/6 - 14 years old S6 DV Language Spoken in household
43 FDCWRK00 NA Sweep 6 - 2015/6 - 14 years old S6 DV Combined labour market status
44 FOECDUK0 NA Sweep 6 - 2015/6 - 14 years old S6 DV OECD Equivalised income quintiles - UK whole
45 HHparentcmSDQ NA NA NA
46 CCPSTSCORE Derived information Sweep 3 - 2005/6 - 5 years old COG: Pattern Construction T-score
47 CCNVTSCORE Derived information Sweep 3 - 2005/6 - 5 years old COG: Naming Vocabulary T-score
48 CCPCTSCORE Derived information Sweep 3 - 2005/6 - 5 years old COG: Pattern Construction T-score
49 BASmeanscore Cohort Member Sweep 3 - 2018/19 - 5 years old mean score of three British Ability Scales
50 cognitivedlay Cohort Member Sweep 3 - 2018/19 - 5 years old binary variable: whether BAS is below cut-off point for cognitive delay

Aggr plot

Below is a plot of the frequency of missing values per variable. I am not yet familiar with it’s specification, but am including it in case this is easier for you to interpret than it is for me. It comes from the R package MICE.

## Warning in plot.aggr(res, ...): not enough vertical space to display frequencies
## (too many combinations)

## 
##  Variables sorted by number of missings: 
##            Variable      Count
##     GCCARRSOC04_TR3 0.34148886
##     GCCARRSOC06_TR3 0.34148886
##               inuni 0.23679469
##          fpmentheal 0.12773826
##            FCCSEX00 0.08013276
##            FDCE0600 0.08013276
##            FEMOTION 0.08013276
##            FCONDUCT 0.08013276
##              FHYPER 0.08013276
##               FPEER 0.08013276
##             FPROSOC 0.08013276
##             FEBDTOT 0.08013276
##  mcs6SDQparentneuro 0.08013276
##            FAREGN00 0.08013276
##            FDHTYP00 0.08013276
##            FDRELP00 0.08013276
##            FDTOTS00 0.08013276
##            FDHLAN00 0.08013276
##            FDCWRK00 0.08013276
##            FOECDUK0 0.08013276
##       HHparentcmSDQ 0.08013276
##          CCPSTSCORE 0.05301091
##          CCNVTSCORE 0.05301091
##          CCPCTSCORE 0.05301091
##        BASmeanscore 0.05301091
##      cognitivedelay 0.05301091
##            asdvalid 0.03063063
##                   X 0.00000000
##               MCSID 0.00000000
##             GCNUM00 0.00000000
##              dxasdn 0.00000000
##            GCEDUT00 0.00000000
##            GCAPNT00 0.00000000
##            GCTRIN00 0.00000000
##            GCJOBS00 0.00000000
##            GCCLSM0G 0.00000000
##            GCSTYR00 0.00000000
##            GCASPR0A 0.00000000
##            GCASPR0B 0.00000000
##            GCASPR0C 0.00000000
##            GCASPR0D 0.00000000
##            GCASPR0E 0.00000000
##            GCASPR0F 0.00000000
##            GCASPR0G 0.00000000
##            GCASPR0H 0.00000000
##            GCASPR0I 0.00000000
##     GCCARRSOC01_TR3 0.00000000
##     GCCARRSOC02_TR3 0.00000000
##     GCCARRSOC03_TR3 0.00000000
##     GCCARRSOC05_TR3 0.00000000
##             X_merge 0.00000000
##                NEET 0.00000000