WLD_2009_YLSCP-R3_v01_M DDI_WLD_2009_YLSCP-R3_v02_M_WB UK Data Service 2014-08-26 Nesstar Publisher DDI Document - Version 02 - (04/21/21) This version is identical to DDI_WLD_2009_YLSCP-R3_v01_M_WB but country field has been updated to capture all the countries covered by survey. Version 02 (August 2014). Initial version of the DDI (DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 6853) was done by UK Data Service in May, 2014. Young Lives: An International Study of Childhood Poverty 2009 Round 3 YLSCP-R3 2009 WLD_2009_YLSCP-R3_v01_M Boyden, J. Crown copyright material is reproduced with the permission of the Controller of HMSO and the Queens Printer for Scotland Nesstar Publisher Department for International Development R8358 UK Data Service Anne Solon, Data and Survey Manager Young Lives, Oxford Department of International Development (ODID) UK Data Service Garlick, C., University of Reading. Statistical Services Centre Other Household Survey [hh/oth] The Young Lives study is a panel study that aims to track the lives of 2,000 children in each country from age 6-17.9 month until they are 15 years old. The caregiver and, when the child is old enough, both the caregiver and the child will be interviewed every three to four years with a quantitative survey. The height and weight of each child will also be measured and community level questionnaires will be completed for each sentinel site at every data collection round. Round 1 of the study followed 2,000 children (aged between 6 and 18 months in 2002) and their households, from both urban and rural communities, in each of the four countries (8,000 children in total). Data were also collected on an older cohort of 1,000 children aged 7 to 8 years in each country, in order to provide a basis for comparison with the younger children when they reach that age. Round 2 of the study returned to the same children who were aged 1-year-old in Round 1 when they were aged approximately 5-years-old, and to the children aged 8-years-old in Round 1 when they were approximately 12-years-old. Round 3 of the study returned to the same children again when they were aged 7 to 8 years (the same as the older cohort in Round 1) and 14 to 15 years. It is envisaged that subsequent survey waves will take place in 2013 and 2016. Thus the younger children are being tracked from infancy to their mid-teens and the older children through into adulthood, when some will become parents themselves. Edition History: - For the original edition of the study (September 2011), data and documentation from Wave 3 were deposited. - For the second edition (April 2014), the data files and accompanying data have been updated. The updates have been made as a result of ongoing cleaning associated with the collection of longitudinal data (i.e. checking the consistency of the data across rounds). Extensive work has also been done on updating the location variables of the children and a new variable has been added to the Round 2 (MVDTYPR2) (see SN 6852) and Round 3 (MVDTYPR3) data indicating if the child has moved between rounds. Updated PPVT scores and calculated variables have also been provided. AGE DEATH GENDER INJURIES MOTOR VEHICLES SCHOOLCHILDREN ETHIOPIA INDIA PERU VIET NAM HOUSEHOLDS FAMILIES FAMILY MEMBERS CARE OF DEPENDANTS MOTHERS CHILD CARE MARITAL STATUS SPOUSES INFANTS CHILDREN FATHERS BIRTH WEIGHT CHILDBIRTH PREMATURE BIRTHS PREGNANCY DAY NURSERIES HEALTH DIARRHOEA SYMPTOMS COUGHING DISEASES CHRONIC ILLNESS IMMUNIZATION YOUTH POVERTY RESIDENTIAL MOBILITY EDUCATIONAL BACKGROUND LITERACY LANGUAGE SKILLS ETHNIC GROUPS CASTE SOCIAL CLASS RELIGIOUS AFFILIATION FINANCIAL SUPPORT DEBTS SHOPS ORGANIZATIONS HOUSEHOLD INCOME SOCIAL SECURITY BENEFITS DISASTERS CROP YIELDS ACCIDENTS MARRIAGE DISSOLUTION EDUCATIONAL FEES HOME OWNERSHIP ROOMS WATER SERVICES (BUILDINGS) LAVATORIES FUELS AGRICULTURAL EQUIPMENT CULTURAL GOODS TELEPHONES FURNITURE LIVESTOCK SELLING PURCHASING EMOTIONAL STATES COMMUNITIES COMMUNITY BEHAVIOUR TRUST CRIME VICTIMS TRADE UNION MEMBERSHIP MEMBERSHIP SOCIAL SUPPORT HEIGHT (PHYSIOLOGY) WEIGHT (PHYSIOLOGY) SOCIAL CAPITAL SOCIAL NETWORKS MEN WOMEN INDUSTRIES DISABILITIES WATER POLLUTION NUMERACY CHILD PSYCHOLOGY CHILD LABOUR CHILD WORKERS SCHOOLS LEARNING SIBLINGS PARENTS QUALITY OF LIFE PAYMENTS EMPLOYEES INCOME HOUSEHOLD BUDGETS LAND OWNERSHIP URBAN AREAS RURAL AREAS CAREGIVERS MOTHER TONGUE FATHER'S EDUCATIONAL BACKGROUND DECISION MAKING RESPONSIBILITY AGRICULTURE HANDICRAFTS SMALL BUSINESSES FOOD AID ALIMONY PERSONAL FINANCE MANAGEMENT CREDIT UNITS OF MEASUREMENT FOOD CROPS DIET AND NUTRITION COST OF LIVING COSTS FAMILY LIFE VOTING BEHAVIOUR COMMUNITY PARTICIPATION ACCESS TO PUBLIC SERVICES FAMILY PLANNING ACCESS TO INFORMATION LABOUR DISPUTES ILL HEALTH ELECTRIC POWER HOUSING CONSTRUCTION CONSUMER GOODS DOMESTIC APPLIANCES HOUSING IMPROVEMENT PRE-PRIMARY EDUCATION MEALS FOOD SHORTAGES ATTITUDES ASPIRATION PRIVATE VOLUNTARY ORGANIZATIONS AUTHORITY STUDENT TRANSPORTATION TRUANCY STUDENT BEHAVIOUR STUDENT ATTITUDE TIME BUDGETS STRUCTURAL ELEMENTS (BUILDINGS) FERTILIZERS ANIMAL HUSBANDRY FINANCIAL DIFFICULTIES FARM VEHICLES STANDARD OF LIVING GIFTS COMMUNITY ACTION INFORMATION SOURCES THEFT ARABLE FARMING GROUPS FINANCIAL RESOURCES BREAST-FEEDING ANTHROPOMETRIC DATA CONSCRIPTION IMPRISONMENT LIFE EVENTS BUILDING MAINTENANCE EDUCATIONAL CHOICE ANDHRA PRADESH 2006 HOME-GROWN FOODS Economic conditions and indicators - Economics General - Education Youth - Social stratification and groupings Primary, pre-primary and secondary - Education School leaving - Education Drug abuse, alcohol and smoking - Health General - Health Social attitudes and behaviour - Society and culture Social indicators and quality of life - Society and culture Time use - Society and culture Child development and child rearing - Social stratification and groupings Equality and inequality - Social stratification and groupings Ethnic minorities - Social stratification and groupings Family life and marriage - Social stratification and groupings Gender roles - Social stratification and groupings Social and occupational mobility - Social stratification and groupings Use and provision of specific social services - Social welfare policy and systems Young Lives: An International Study of Childhood Poverty is a collaborative project investigating the changing nature of childhood poverty in selected developing countries. The UK’s Department for International Development (DFID) is funding the first three-year phase of the project. Young Lives involves collaboration between Non Governmental Organisations (NGOs) and the academic sector. In the UK, the project is being run by Save the Children-UK together with an academic consortium that comprises the University of Reading, London School of Hygiene and Tropical Medicine, South Bank University, the Institute of Development Studies at Sussex University and the South African Medical Research Council. The study is being conducted in Ethiopia, India (in Andhra Pradesh), Peru and Vietnam. These countries were selected because they reflect a range of cultural, geographical and social contexts and experience differing issues facing the developing world; high debt burden, emergence from conflict, and vulnerability to environmental conditions such as drought and flood. Objectives of the study The Young Lives study has three broad objectives: • producing good quality panel data about the changing nature of the lives of children in poverty. • trace linkages between key policy changes and child poverty • informing and responding to the needs of policy makers, planners and other stakeholders There will also be a strong education and media element, both in the countries where the project takes place, and in the UK. The study takes a broad approach to child poverty, exploring not only household economic indicators such as assets and wealth, but also child centred poverty measures such as the child’s physical and mental health, growth, development and education. These child centred measures are age specific so the information collected by the study will change as the children get older. Further information about the survey, including publications, can be downloaded from the <a href='http://www.younglives.org.uk/'>Young Lives</a> website. Ethiopia India Peru Vietnam Young Lives is an international study of childhood poverty, involving 12,000 children in 4 countries. - Ethiopia (20 communities in Addis Ababa, Amhara, Oromia, and Southern National, Nationalities and People's Regions) - India (20 sites across Andhra Pradesh and Telangana) - Peru (74 communities across Peru) - Vietnam (20 communities in the communes of Lao Cai in the north-west, Hung Yen province in the Red River Delta, the city of Danang on the coast, Phu Yen province from the South Central Coast and Ben Tre province on the Mekong River Delta) No spatial unit Individuals; Families/households Cross-national; Subnational Children aged approximately 5 years old and their households, and children aged 12 years old and their households, in Ethiopia, India (Andhra Pradesh), Peru and Vietnam, in 2006-2007. These children were originally interviewed in Round 1 of the study. See documentation for details of the exact regions covered in each country. Sample survey data [ssd] This dataset comprises the data from the 8-year-olds' and 15-year-olds' household surveys and child questionnaires carried out in 2009. For each of the four countries the dataset contains files at the community, household and child level for both ages. In addition there are several files at lower levels (i.e. where there are several records per household). These include the household roster and activity schedules for livelihoods, etc. The Peru community level data includes an additional file with community data covering new communities for children who have migrated. Topics covered in the dataset include: community characteristics (environmental, social and economic); parental background; household and child education; livelihoods and asset framework; household food and non-food consumption and expenditure; social capital, economic changes and recent life history; socio-economic status; child care, education and activities; child health; anthropometry; caregivers perceptions and attitudes; school and activities, child time use; social networks, social skills and social support; feelings and attitudes; parents and household issues; child development; perception of the future, environment and household wealth. Also included are calculated indices such as a wealth index, various social capital scores, and mental health scores, which are all detailed in the documentation. The SPSS syntax code and/or Stata 'do' files that show methods of calculation for the composite indices are also included in the dataset. Longitudinal/panel/cohort It is intended that data will be collected once every three or four years. Purposive selection/case studies Ethiopia: 1,886 (8-year-olds), 974 (15-year-olds); India: 1,930 (8-year-olds), 977 (15-year-olds); Peru: 1,946 (8-year-olds), 678 (15-year-olds); Vietnam: 1,963 (8-year-olds), 972 (15-year-olds) Face-to-face interview; Self-completion Every questionnaire used in the study consists of a 'core' element and a country-specific element, which focuses on issues important for that country. The core element of the questionnaires consists of the following sections: Core 5 & 12 year old household questionnaire • Section 1: Parental background • Section 2: Household education • Section 3: Livelihoods and asset framework • Section 3a: Land & crops • Section 3b: Time allocation • Section 3c: Productive assets • Section 3d: Non-agricultural earnings • Section 3e: Transfers • Section 4: Consumption/Expenditure • Section 4a: Food consumption/expenditure • Section 4b: Non-food consumption/expenditure • Section 5: Social capital • Section 5a: Support networks • Section 5b: Family, group and political capital • Section 5c: Collective action and exclusion • Section 5d: Information networks • Section 6: Economic changes and recent life history • Section 7: Socio-economic status • Section 8: Child care, education & activities (blank in 12yr old household) • Section 9: Child health • Section 10: Child development (blank in 12yr old household) • Section 11: Anthropometry • Section 12: Caregiver perceptions & attitudes Core 12 year old child questionnaire • Section 1: School and activities • Section 2: Child health • Section 3: Social networks, social skills and social support • Section 4: Feelings and attitudes • Section 5: Parents and household issues • Section 6: Perceptions of household wealth and future • Section 7: Child Development The community questionnaire used in Ethiopia consists of the following sections: - MODULE 1 General Module • Section 1 General Community Characteristics • Section 2 Social Environment • Section 3 Access to Services • Section 4 Economy • Section 5 Local Prices - MODULE 2 Child-Specific Modules • Section 1 Educational Service (General) • Section 2 NOT INCLUDED IN ETHIOPIA CONTEXT INSTRUMENT • Section 3 Educational Services (Preschool, Primary, Secondary) • Section 4 Health Services • Section 5 Child Protection Services - MODULE 3 Country specific community level questions • Section 1 Conversion factors • Section 2 Migration • Section 3 Social protection program • Section 4 Equity and budget management in education and health The community questionnaire used in India consists of the following sections: - MODULE 1 General Module • Section 1: General Community Characteristics • Section 2: Social Environment • Section 3: Access to Services • Section 4: Economy • Section 5; Local Prices - MODULE 2 Child-Specific Modules • Section 1: Educational Services (General) • Section 2: Child day care Services • Section 3: Educational Services (Preschool, Primary, Secondary) • Section 4: Health Services • Section 5: Child Protection Services The community questionnaire used in Peru consists of the following sections: - MODULE 1 General Module • Section 1: General Community Characteristics • Section 2: Social Environment • Section 3: Access to Services • Section 4: Economy • Section 5: Local Prices - MODULE 2 Child-Specific Modules • Section 1: Educational Services (General) • Section 2: Child day care Services • Section 3: Educational Services (Preschool, Primary, Secondary) • Section 4: Health Services • Section 5: Child Protection Services The community questionnaire used in Vietnam consists of the following sections: - MODULE 1 General Module • Section 1: General Community Characteristics • Section 2: Social Environment • Section 3: Access to Services • Section 4: Economy • Section 5: Local Prices • Section 6: Poverty Alleviation and Infrastructure Initiatives - MODULE 2 Child-Specific Module • Section 1: Educational Services (General and Country Specific) • Section 2: Child day care Services • Section 3: Educational Services (Preschool, Primary, Secondary) • Section 4: Health Services • Section 5: Child Protection Services Project Management In each country, a Principal Investigator (PI) has been appointed to lead the fieldwork and data management activities. The PI works closely with the UK consortium and with the National Co-ordinator (NC), based in SC UK offices in each participating country. The NC’s function is to make links with and between the academic teams, government and civil society, and to ensure the involvement of different stakeholders, the local dissemination of outputs, and to devise advocacy strategies and organise media coverage. The Policy Research Manager (PCM) for the project is based at Save the Children UK in London. The PCM is responsible for overall co-ordination of the project, working with country partners the academic institutions, DFID and other partners with a particular focus on ensuring linkages to policy and dissemination of outputs. The Young Lives Survey is being overseen by an in-country management committee who have the responsibility to co-ordinate the survey according to the set schedule. The committee works with a staff of fieldwork co-ordinators who supervise the survey teams, who are based in regional offices. Supervisors: Responsible for overseeing, monitoring and, where necessary, correcting the work of the interviewers. In addition, s/he is responsible for managing the team's equipment, vehicle and funds and completing the community questionnaire. S/he represents the project co-ordinator at the sentinel site level. Fieldworkers: Responsible for collecting and recording information from households in the household questionnaire Supervisors: Responsible for overseeing, monitoring and, where necessary, correcting the work of the interviewers. In addition, s/he is responsible for managing the team's equipment, vehicle and funds and completing the community questionnaire. S/he represents the project co-ordinator at the sentinel site level. No weighting used. Data Archive Processing Standards The data were processed to the UK Data Archive's A standard. A rigorous and comprehensive series of checks was carried out to ensure the quality of the data and documentation. Firstly, checks were made that the number of cases and variables matched the depositor's records. Secondly, checks were made that all variables had variable labels and all nominal (categorical) variables had value labels. Where possible, either with reference to the documentation and/or in communication with the depositor, absent labels were created. Thirdly, logical checks were performed to ensure that nominal (categorical) variables had values within the range defined (either by value labels or in the depositor's documentation). Lastly, any data or documentation that breached confidentiality rules were altered or suppressed to preserve anonymity. All notable and/or outstanding problems discovered are detailed under the 'Data and documentation problems' heading below. Data and documentation problems Some variables have been removed for confidentiality purposes but may still be mentioned in the documentation. Data conversion information From January 2003 onwards, almost all data conversions have been performed using software developed by the UK Data Archive. This enables standardisation of the conversion methods and ensures optimal data quality. In addition to its own data processing/conversion code, this software uses the SPSS and StatTransfer command processors to perform certain format translations. Although data conversion is automated, all data files are also subject to visual inspection by a member of the Archive Data Services team. With some format conversions, data, and more especially internal metadata (i.e. variable labels, value labels, missing value definitions, data type information), will inevitably be lost or truncated owing to the differential limits of the proprietary formats. A UK Data Archive Data Dictionary file (generally in Rich Text Format (RTF)) is usually provided for each data file, enabling viewing and searching of the internal metadata as it existed in the originating format. These files are called: [data file name]_UKDA_Data_Dictionary.rtf Important information about the data format supplied The following descriptions provide important information about the Archive's data supply formats. Some of this information is specific to the ingest format of the data, i.e. the format in which the Archive received the data from the depositor. The ingest format for this study was SPSS SPSS files (*.sav files) If SPSS was not the ingest format, this format will generally either have been created via the SPSS command processor (e.g. if the ingest format is STATA, SAS, Excel, or dBase). If the ingest format was non-delimited or fixed-width text, SPSS files will have been created using SPSS command syntax. Issues: There is very seldom any loss of data or internal metadata when importing data files into SPSS. Any problems will have been listed above in the Data and Documentation Problems section of this file. STATA (*.dta files) If STATA was not the ingest format, STATA files will generally have been created from SPSS via the StatTransfer command processor. Importantly, StatTransfer's optimisation routine is run so that variables with SPSS write formats narrower than the data (e.g. numeric variables with 10 decimal places of data formatted to FX.2) are not rounded upon conversion to STATA because they are converted to 'doubles ' rather than floats. Discrete user missing values are copied across into STATA (as opposed to being collapsed into a single system missing code). Issues: There are a number of data and metadata handling mismatches between SPSS and STATA. Where any data or internal metadata has been lost or truncated, it will be logged in the study's SPSS_to_STATA_conversion RTF file. Note that the complete internal metadata has been supplied in the UKDA Data Dictionary file(s): [data file name]_UKDA_Data_Dictionary.rtf Tab-delimited text (*.tab files) If tab-delimited text was not the ingest format, tab-delimited files will have been created from via the SPSS command processor, and also from Excel and MS Access files. When exporting from Access data tables to tab-delimited text, the potentially problematic special characters (tabs, carriage returns, line feeds, etc.) allowed by Access memo and text fields may have been removed by the Archive if necessary. Issues: Date formats in SPSS are always exported to mm/dd/yyyy in tab-delimited text format. There may be a mismatch with the documentation on such variables. Variables that include both date and time such as dd-mm-yyyy hh:mm:ss (e.g. 18-JUN-2011 13:28:00), will lose the time information and become mm/dd/yyyy. All users of the data in tab-delimited format should consult the UK Data Archive Data Dictionary RTF file(s). If the data was exported from MS Access, more limited 'data documenter' information is generally available in the RTF variable information files. These files may also contain SQL setup information. MS Excel (*.xls/*xslx files) If MS Excel was not the ingest format, Excel files may have been created via StatTransfer. The date and time issues noted under tab-delimited format may also apply here. SAS (*.sas7bdat and *sas files) If SAS was not the ingest format, SAS files will usually have been created via StatTransfer or SPSS. SAS is not one of the Archive's standard supply formats, and the files are likely to have been created in response to a user request. The usual format is *.sas7bdat files plus a .sas proc formats file. Note that the complete internal metadata has been supplied in the accompanying UK Data Archive Data Dictionary file(s). Issues: The main loss of information when converting from SPSS to SAS is user-missing value definitions. By editing the .sas file, the user can choose whether to collapse all user-missing values into system missing or preserve the�value and lose the user-missing definition. To achieve the latter�the following section of the .sas file should be removed before running it: /* User Missing Value Specifications */ Note that the complete internal metadata has been supplied�in the UKDA Data Dictionary file(s): [data file name]_UKDA_Data_Dictionary.rtf MS Access (*.mdb/*.mdbx) MS Access (*.mdb/*.mdbx files) Due to substantial incompatibilities between versions of MS Access, the Archive will only make data available in MS Access format if this is the ingest format and/or the database contains important information in addition to the data tables (coding information, forms, queries, etc.). UK Data Service Standard conditions of access The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See <a href=http://ukdataservice.ac.uk/get-data/how-to-access/conditions.aspx>terms and conditions of access</a> for further information. UK Data Service Bibliographic Citation All works which use or refer to these materials should acknowledge these sources by means of bibliographic citation. To ensure that such source attributions are captured for bibliographic indexes, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: Boyden, J., Young Lives: an International Study of Childhood Poverty: Round 3, 2009 [computer file]. 2nd Edition. Colchester, Essex: UK Data Archive [distributor], April 2014. SN: 6853 , http://dx.doi.org/10.5255/UKDA-SN-6853-2 Acknowledgement Any publication, whether printed, electronic or broadcast, based wholly or in part on these materials, should acknowledge the original data creators, depositors or copyright holders, the funders of the Data Collections (if different) and the UK Data Archive, and to acknowledge Crown Copyright where appropriate. Any publication, whether printed, electronic or broadcast, based wholly or in part on these materials should carry a statement that the original data creators, depositors or copyright holders, the funders of the Data Collections (if different) and the UK Data Archive bear no responsibility for their further analysis or interpretation. The depositor has specified that registration is required and standard conditions of use apply. The depositor may be informed about usage. See <a href=http://ukdataservice.ac.uk/get-data/how-to-access/conditions.aspx>terms and conditions of access</a> for further information. Although all efforts are made to ensure the quality of the materials, neither the original data creators, depositors or copyright holders, the funders of the Data Collections, nor the UK Data Archive bear any responsibility for the accuracy or comprehensiveness of these materials. All rights reserved. No part of these materials may be reproduced, stored in, or introduced into a retrieval system, or transmitted, in any form, or by any means (electronic, mechanical, photocopying, recording or otherwise) without the prior written permission of the UK Data Archive. UK Data Archive University of Essex Wivenhoe Park Colchester Essex C04 3SQ United Kingdom www.data-archive.ac.uk