PISA for Development Technical Workshop Tania Rajadel World Bank

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PISA for Development Technical Workshop Tania Rajadel World Bank April 10, 2014

Outline Mo.va.on Objec.ve Coverage Implementa.on Survey instrument Preliminary findings

MoAvaAon Improving InformaAon on Skills What is the skills profile of the labor force? What skills maher for employment and produc.vity? What is the nature and size of skills gaps and mismatches? What interven.ons may be considered to improve employability and produc.vity? To answer these QuesAons about Skills

ObjecAve STEP Skills Measurement Program Collect interna.onally comparable data on different types of skills to inform policy and skill development strategies Survey of Individuals (HH survey) Supply of skills Sample size: 2,000-3,500 Length: 120-150 minutes Representa.ve of urban areas Popula.on aged 15-64 Survey of Employers (Firms) Demand for skills Sample size: 300-500 enterprises Length: 45-60 minutes Formal and informal sectors Geographic or economic sector based 4

Countries Global Scope Ghana Ukraine Armenia, Azerbaijan, Georgia Macedonia Kenya Sri Lanka China (Yunnan Province) Lao PDR Vietnam Colombia Bolivia Two Waves Wave 1 Started 2011 Wave 2 Started 2012

STEP Household Survey ImplementaAon Design of the survey instruments Developed with the support of a mul.- disciplinary panel of experts (psychology, skills assessment, educa.on, and labor market specialists) Qualita.ve tes.ng and pilots were undertaken to test the instruments in different cultural se[ngs A standardized implementa.on relying on strict technical standards Adapta.on & transla.on of the survey instruments Fieldwork processes Booklet scoring Centralized coordina.on and supervision One survey methodologist to ensure consistency across country methodologies Sampling strategy Weigh.ng

STEP Household Survey Key Features Target popula.on Urban popula.on aged 15-64 Household- based survey The Background Ques.onnaire provides a rich array of data, which can be used independently from the Reading Literacy Assessment data Interview sequence Background QuesAonnaire (80 minutes) Reading literacy assessment (20 minutes) Reading components Core assessment Extended assessment (45 minutes) For respondents having passed the Core assessment

STEP Household Survey Survey Instrument Household InformaAon Household Roster Dwelling Characteris.cs Random selec.on criteria to select respondent Background Respondent Aged 15-64 Skills Health Educa.on & Training Employ- ment History Family & Language Cogni.ve Skills Socio- emo.onal Skills Job- relevant skills Self- reported numeracy, literacy and wri.ng Direct Reading Assessment 1 - Core 2 - Reading components 3 - Booklets Personality traits Behavior Preferences

STEP Background QuesAonnaire Household InformaAon The household roster provides informa.on on respondents current living situaaon Lists all household members Includes their educa.onal ahainment, or whether they can read and write, and their labor market status The Family & Language module collects data on family background Parents educa.onal ahainments Siblings, including age, at the age of 12 Nega.ve shocks experienced by the household at the age of 12 Languages used

STEP Background QuesAonnaire Household InformaAon Dwelling characteris.cs Dwelling characteris.cs, including ownership Water & sanita.on, cooking & ligh.ng energy Assets, including books, and animals owned Transfers ü ü Adapted to country- context, as assets correlated with wealth vary across countries Use of asset indices 10

STEP Background QuesAonnaire EducaAon & Training Module Extensive informa.on collected on educa.on and training Early Childhood Educa.on Formal educa.on Start age AHainment and field of study School (type, loca.on) Other forms of training / learning Literacy program Professional cer.ficate, work- related training Appren.ceship Dropped out and/or interrupted studies and reasons Reasons for having never ahended school School- to- work transi.on Parental involvement in primary school

STEP Background QuesAonnaire Employment Module Provides informa.on on current employment status Labor market par.cipa.on, including reasons for inac.vity Employment status Types of occupa.on and tasks Earnings Aspira.ons TransiAons in the labor market First job and previous job Informa.on on previous wage jobs for self- employed (voluntary/ involuntary self- employment) Labor market success of the self- employed Start- up capital Earnings, sales Business expansion, employees 12

STEP Background QuesAonnaire Skills Modules Cogni.ve Skills Direct assessment of reading literacy based on the Survey of Adults Skills instruments Indirect assessment on individuals use of reading, wri.ng and numeracy skills at work and/or in daily life Job- specific Skills Qualifica.ons required for the job and job learning.mes Indirect assessment of skills used at work Job tasks Data cogni.ve, mental power People interpersonal Things physical, muscle power Technology use Socio- emo.onal Skills Personality traits (Big Five and Grit) Behavior (Hos.le AHribu.on Bias and Decision Making) Risk and Time Preference 13

Preliminary Findings ETS Literacy Assessment Results from CORE Assessment: CumulaAve DistribuAon By Country Passing Score = 3 out of 8 ques.ons 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 99% 95% 86% 84% 67% 50% 67% 0 1 2 3 4 5 6 7 8 Score Points Ghana (preliminary March 2014) YUN VNM LKA (Urban Only) BOL ü Adapt ques.onnaires to account for possible low reading literacy rates, in par.cular parent ques.onnaire Kenya (preliminary March 2014) LAO (Urban Only)

Preliminary Findings Household InformaAon Adults whose mothers completed primary school or less display higher school drop- out rates than adults with more educated mothers And adults who dropped out of school are likely to score lower on reading proficiency than those who did not 15

Preliminary Findings Household InformaAon A family s past socioeconomic status can affect how a child develops socio- emo.onal skills : adults who come from a higher SES tend to exhibit more grit Experiencing more than one household shock before the age of 15 is associated with lower reading proficiency levels ü Key role of family background Informa.on collected directly from parents would improve data quality ü Recalled informa.on retains an explanatory power

Preliminary Findings EducaAon Highest level completed & age at which leq formal educa.on - Respondents aged 20 to 29 - Respondents aged 15 may be close to ending their formal educa.on ü Ques.onnaire to adapt to contexts in which a majority of 15- year olds may be about to leave school 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 18 16 16 19 19 19 20 19 Ghana Sri Lanka Lao PDR Vietnam Georgia Yunnan Bolivia Armenia Primary or less Lower Secondary Voca.onal Lower Secondary General Upper Secondary Voca.onal Upper Secondary General Post- secondary & Higher educa.on 19 Average age at which leq school

Preliminary Findings EducaAon 45%# 40%# 35%# 30%# 25%# 20%# 15%# 10%# 5%# 0%# Dropout rates respondents aged 15-24 Bolivia# Colombia# Lao#PDR# Sri#Lanka# Vietnam# Yunnan# Armenia# Georgia# Ghana# ü Uncertainty regarding how much further they will study might affect students outlook In most countries, over 20% of respondents aged 15 to 24 dropped out of the highest level they were ahending A major reason for dropping out was the lack of money to pay for fees, uniforms, and/or school materials Other reasons included having to work or help at home, and pregnancy (Bolivia and Colombia) Lack of interest in school is usually reported in lower propor.ons than the above reasons 18

Preliminary Findings EducaAon Adults who par.cipated in ECE programs are More likely to have started primary educa.on at the compulsory age (6-7 years old) More likely to pass the core reading literacy assessment than those who did not Less likely to perceive hos.le intent in others (low hos.lity bias score) ü ECE mahers in low and middle- income countries In STEP captured by an indicator variable More informa.on could improve insight

Preliminary Findings CogniAve Skills How do self- reported and direct assessments of reading skills compare? Respondents self- reported informa.on on how they use their reading skills is different from their actual reading ability And is a very weak indicator of actual reading proficiency

Preliminary Findings Socio- emoaonal Skills 3.4 Predicted level of GRIT (scale 1 to 4) 3.2 3 2.8 2.6 2.4 2.2 2 Armenia Ghana Educa.onal ahainments and socio- emo.onal skills are correlated Adults with more educa.on tend to score higher in terms of grit 20.0 18.0 16.0 14.0 12.0 10.0 8.0 6.0 4.0 2.0 0.0 Bolivia Vietnam One additional year of education Increase in reading literacy Increase in socioemotional skills Increase in computer skills Increase autonomy skills All skills maher for labor market success, including socio- emo.onal skills Wage workers in Vietnam may increase their earnings by more than 15 percent with an increase in socio- emo.onal skills

Preliminary Findings Job- relevant Skills 80% 70% 60% 50% 40% 30% Colombia Vietnam Learning outcomes are related to the use of job- relevant skills For instance, reading proficiency level is associated with higher computer use at work 20% Level 1 and Below Level 2 Level 3 Level 4 ǀ 5 Correla.ons 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 Armenia Bolivia Colombia Ghana Laos Sri Lanka Vietnam Yunnan Similarly, a worker s socio- emo.onal skills are associated with the use of job- relevant skills The greater a person s openness to experience, the greater his or her ability to solve complex problems Results presented are sta.s.cally significant

Main Conclusions Family background Key role, but might take different forms than in higher income countries Parental literacy rates are likely to be lower than their children s A significant propor.on of 15- year olds is likely to be on its way out of school ECE mahers both for the acquisi.on of cogni.ve and socio- emo.onal skills Socio- emo.onal skills and educa.onal outcomes are correlated

Thank you HDN co- Task Team Leaders: Alexandria Valerio (HDNED) avalerio@worldbank.org Maria Laura Sanchez Puerta (HDNSP) msanchezpuerta@worldbank.org CORE STEP team: Tania Rajadel trajadel@worldbank.org Sebas.an Monroy Taborda smonroytaborda@worldbank.org 24