<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="2.5" ID="CHN_2023_EDU_v01_M" xml-lang="en" xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_CHN_2023_EDU_v01_M</IDNo>
    </titlStmt>
    <prodStmt>
        <producer abbr="UNHCR" affiliation="UN" role="Metadata producer">
          UN Refugee Agency
        </producer>
        <producer abbr="DECDG" affiliation="The World Bank" role="Metadata adapted for World Bank Microdata Library">
          Development Data Group
        </producer>
      <prodDate date="2024-07-08">2024-07-08</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
        <version>
          Identical to a metadata (UNHCR_CHN_2023_EDU_data_anon_v2.1) published on UNHCR catalog (https://microdata.unhcr.org/index.php/home). Some of the metadata fields have been edited.
        </version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Refugee's Children Education 2023</titl>
        <altTitl>
          EDU 2023
        </altTitl>
      <IDNo>CHN_2023_EDU_v01_M</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="UN">
        UN Refugee Agency (UNHCR)
      </AuthEnty>
    </rspStmt>
    <prodStmt>
      <software version="beta" date="2024-07-08">MetadataEditor</software>
    </prodStmt>
    <distStmt>
      <contact affiliation="UNHCR" URI="" email="microdata@unhcr.org">Curation team</contact>
    </distStmt>
    <serStmt>
      <serName>Other Household Survey [hh/oth]</serName>
    </serStmt>
    <verStmt>
      <version date="2024-07-01">Version 2.1: Edited, cleaned and anonymised data</version>
    </verStmt>
  </citation>
  <stdyInfo>
    <subject>
      <topcClas vocab="" vocabURI="">Education</topcClas>
    </subject>
    <abstract><![CDATA[The Refugee children’s education survey collects data on children attending school as well as their school experience. The survey creates a roster of children who are currently attending school, as well as information about children who are not yet enrolled but wish to be in local public schools for the upcoming academic year. The information of children who wish to enroll will be shared with the relevant authorities for school enrollment.
	
	The purpose of  of the second module of the survey is to understand school children’s self-evaluation (as well as parents’ evaluation) of their school performance and experience. The survey is specifically designed to assess the interventions taken by schools and parents for children who have experienced bullying or require additional support in their studies. The results will inform UNHCR’s follow-up actions and interventions.
	
	For the school year 2023-2024, information on 45 children of school age were surveyed in April and May of 2023. ]]></abstract>
    <sumDscr>
      <collDate date="2023-04-20" event="start" cycle=""/>
      <collDate date="2023-05-03" event="end" cycle=""/>
      <nation abbr="CHN">China</nation>
      <geogCover>National</geogCover>
      <anlyUnit><![CDATA[Households]]></anlyUnit>
      <universe><![CDATA[Refugee children in China 2023]]></universe>
      <dataKind>Census/enumeration data [cen]</dataKind>
    </sumDscr>
    <notes><![CDATA[The dataset covers refugee children and their parents and includes the following information:
1. Location
2. Total number of children and number of children attending school
3. Parents&#039; communication with their childrens&#039; teachers and school
4. Childrens&#039; reading and writing abilities
5. School fees, 
6. Childrens&#039; educational satisfaction]]></notes>
  </stdyInfo>
  <method>
    <dataColl>
      <dataCollector abbr="UNHCR" affiliation="UN">UN Refugee Agency</dataCollector>
      <sampProc><![CDATA[Not Applicable]]></sampProc>
      <collMode>Face-to-face [f2f]</collMode>
    </dataColl>
  </method>
  <dataAccs>
    <useStmt>
      <citReq><![CDATA[UNHCR (2023). China: Refugee&#039;s Children Education - 2023. Accessed from: https://microdata.unhcr.org]]></citReq>
    </useStmt>
  </dataAccs>
</stdyDscr>
<fileDscr ID="Chi_Data">
  <fileTxt>
    <fileName>Children data</fileName>
    <fileCont>Anonymized Household data</fileCont>
    <dimensns>
      <caseQnty>45</caseQnty>
      <varQnty>15</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="HH_Data">
  <fileTxt>
    <fileName>Household level data</fileName>
    <fileCont>Anonymized Household data</fileCont>
    <dimensns>
      <caseQnty>19</caseQnty>
      <varQnty>7</varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="HH_Data_V1" name="pseudo_parent_id" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <sumStat type="vald">19</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
</var>
<var ID="HH_Data_V2" name="id" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <sumStat type="vald">19</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
</var>
<var ID="HH_Data_V3" name="today" files="HH_Data"/>
<var ID="HH_Data_V4" name="by_31_august_2023_will_any_of" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>By 31 August 2023, will any of your children be at least 6 years old and under 17 years old?</labl>
  <sumStat type="vald">19</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>yes</labl>
    <catStat type="vald"/>
  </catgry>
</var>
<var ID="HH_Data_V5" name="do_you_have_children_who_are_a" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Do you have children aged 6-17 who are not attending school?</labl>
  <sumStat type="vald">19</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>no</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>yes</labl>
    <catStat type="invd"/>
  </catgry>
</var>
<var ID="HH_Data_V6" name="would_you_like_them_to_attend" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Would you like them to attend local public schools?</labl>
  <sumStat type="vald">12</sumStat>
  <sumStat type="invd">7</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>no</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>yes</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="HH_Data_V7" name="do_you_have_children_who_001" files="HH_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Do you have children who are attending school?</labl>
  <sumStat type="vald">19</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>no</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>yes</labl>
    <catStat type="invd"/>
  </catgry>
</var>
<var ID="Chi_Data_V1" name="pseudo_parent_id" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <sumStat type="vald">45</sumStat>
  <sumStat type="invd"/>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
</var>
<var ID="Chi_Data_V2" name="pseudo_id" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <sumStat type="vald">44</sumStat>
  <sumStat type="invd">1</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
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  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
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  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
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  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
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  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
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  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
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  <catgry>
    <catValu>9</catValu>
    <labl>9</labl>
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  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
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  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
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  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V3" name="in_which_year_d_art_attendi_1" files="Chi_Data">
  <labl>In which year was this child enrolled in this school?</labl>
</var>
<var ID="Chi_Data_V4" name="what_is_highest_level_of_e" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>What year is your child in?</labl>
  <sumStat type="vald">42</sumStat>
  <sumStat type="invd">3</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>no_education</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>pre_school_kindergarten</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>year_1</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>year_10</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>year_12</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>year_2</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>year_4</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>year_6</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>year_7</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>year_8</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>year_9</labl>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V5" name="is_school_a_public_school" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Is the school a public school or private school?</labl>
  <sumStat type="vald">35</sumStat>
  <sumStat type="invd">10</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>private_school</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>public_school</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V6" name="given_opportunity_woul" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Do you wish to enrol your child in a public school in the coming school year?</labl>
  <sumStat type="vald">14</sumStat>
  <sumStat type="invd">31</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>no</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>yes</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V7" name="enrolled" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <sumStat type="vald">44</sumStat>
  <sumStat type="invd">1</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>enrolled</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>not_enrolled</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V8" name="sex" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Sex:</labl>
  <sumStat type="vald">9</sumStat>
  <sumStat type="invd">36</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>female</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>male</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V9" name="age" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Age:</labl>
  <sumStat type="vald">8</sumStat>
  <sumStat type="invd">37</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>0_4</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>5_11</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>12_17</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>18_24</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>25_29</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>30_39</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>40_49</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>50_59</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V10" name="speaking" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Speaking</labl>
  <sumStat type="vald">9</sumStat>
  <sumStat type="invd">36</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>easy</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>not_easy</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V11" name="reading" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Reading</labl>
  <sumStat type="vald">9</sumStat>
  <sumStat type="invd">36</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>easy</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>none</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>not_easy</labl>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V12" name="listening" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Listening</labl>
  <sumStat type="vald">9</sumStat>
  <sumStat type="invd">36</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>easy</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>not_easy</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V13" name="writing" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Writing</labl>
  <sumStat type="vald">9</sumStat>
  <sumStat type="invd">36</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>easy</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>none</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>not_easy</labl>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V14" name="where_did_your_child_receive__1" files="Chi_Data" intrvl="discrete">
  <varFormat type="Factor"/>
  <labl>Where did your child receive education?</labl>
  <sumStat type="vald">4</sumStat>
  <sumStat type="invd">41</sumStat>
  <catgry>
    <catValu>1</catValu>
    <labl>in_china</labl>
    <catStat type="vald"/>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>outside_china</labl>
    <catStat type="invd"/>
  </catgry>
  <catgry>
    <catValu>Missing value</catValu>
  </catgry>
</var>
<var ID="Chi_Data_V15" name="weight" files="Chi_Data">
  <labl>Design weight</labl>
</var>
</dataDscr></codeBook>
