NCRM Annual Meeting January 2009 People ADMIN Remit of ADMIN is so that dev

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NCRM Annual Meeting January 2009 People ADMIN Remit of ADMIN is so that dev

Brescia University, US has reference to this Academic Journal, NCRM Annual Meeting January 2009 People ADMIN Remit of ADMIN is so that develop in addition to disseminate methodologies in consideration of making best use of administrative data by exploiting survey data (and vice versa) Training in addition to capacity building (Mac McDonald)

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ADMIN Strength of administrative data is that they have information on almost everyone. Weakness is that they are not rich in covariates NPD has detailed information on educational outcomes but no information on parental education. We can link richer survey so that admin data so that enhance the admin data. ADMIN Weakness of survey data is non-response in addition to attrition. Administrative data is virtually (but not fully) complete. Scope in consideration of using linked survey-administrative data so that enhance survey data by telling us about those who are missing from survey data. Aim is so that develop methods to. make inferences when covariates or responses are missing in administrative data. use administrative data so that overcome measurement error in survey variables (e.g. recalled event histories) in addition to vice versa (e.g. ethnicity) so that tackle bias due so that attrition in longitudinal surveys. using administrative data so that improve small-area estimates of the means in addition to quantiles of survey variables.

Programme 1 (Vignoles) Using survey data so that enhance methods in consideration of the analysis of administrative data Measuring the effect of family background in addition to ethnicity on pupil attainment To what extent does school attendance reflect real school preferences? Programme 2 (Brown) Using administrative data so that enhance methods in consideration of the analysis of survey data Attrition, non-response in addition to the determinants of school outcomes at 16 Enhancing event history analysis of social surveys alongside administrative data Examples of linked data Linked administrative data schools data (NPD/PLASC), FE data (ILR) in addition to higher education data (HESA) Complete administrative data on entire cohort all the way through the education system NPD/PLASC linked so that survey data LSYPE MCS

Engineering Management in the New Millennium Approaching the New Millennium Emerging Future Trends Emerging Future Trends (A) Customer Focus (B) Enterprise Resource Integration (C) Supply Strategy (D) Knowledge Management (E) Organizational Changes (E) Organizational Changes (cont?d) (F) Population Diversity (G) Migration of White Collar Jobs so that Other Countries (G) Job Migration so that Other Countries (cont?d) (G) Job Migration (cont?d) (G) Job Migration (cont?d) Engineering Graduates (H) Globalization US Companies Old Economy Companies Old Economy Companies (cont?d) Knowledge Economy Companies Knowledge Economy Companies Knowledge Economy Companies (cont?d) Functional Integration of Knowledge Economy Companies Modern Companies Characteristics of Modern Companies Characteristics of Modern Companies (cont?d) Characteristics of Modern Companies (cont?d) General Electric – An Example Strategies To Make Companies Great in New Century Strategies To Make Companies Great in New Century (cont?d) Personal Strategies in consideration of the Future Personal Strategies in consideration of the Future (cont?d) Conclusions Conclusions (cont?d) References Summary of the Two-Course Sequence Manage/Lead/Act/Think Pyramid Building Question # 14.2 Question # 14.3 Answer #14.3 (Leadership) Leadership Leadership Examples of Choice-Boards Examples of Choice-Boards Examples of Choice-Boards (cont?d) Examples of Choice-Boards (cont?d) Success of Digitalization

Contribution so that work on segregation Measuring segregation Socio-economic segregation Ethnic segregation Modelling causes of segregation Parental school choice Examples drawn from schools but could be applied more broadly Measuring socio-economic segregation Currently measured by FSM binary status Problematic measure (Hobbs in addition to Vignoles, 2008) Only picks up bottom 16% of distribution at best Measurement error in FSM status E.g. children who do not eat at school not recorded as FSM Changing FSM status in recession Measuring socio-economic segregation Linked data has already provided an assessment of the extent so that which FSM really proxies socio-economic disadvantage Can provide alternative measures of socio-economic background from surveys Parental income/ high low income Parental education/ high low education Can assess use of alternative proxies from administrative data e.g. geographic data

Measuring socio-economic segregation Linked data can test robustness of segregation work that uses FSM Need so that be aware of issues raised by Becky Allen on using samples so that measure segregation Ethnic Minority Project Originally conceived of as a study of ethnic differences in outcomes i.e. focusing on missing covariates in model of ethnic achievement See work by Wilson et. al., 2005 Data – PLASC/NPD data linked so that LSYPE (cohort born 1990/91) Ethnic Minority Project Do we get estimates of ethnic differences in outcomes wrong if we just rely on administrative data ? Do ethnic classifications capture what we are interested in? e.g. example of recent migrants versus long standing populations What are differences by ethnicity once we take account of language (EAL)?

KS3 Results in consideration of Pakistani Males NB: Results show differences in standardized score outcomes NPD controls include gender, ethnicity, age, EAL, SEN, FSM, KS2 score Measuring ethnicity in addition to EAL Is there measurement error in the ethnicity or EAL variables in PLASC? If so, are there implications in consideration of measuring ethnic segregation in addition to ethnic differences in outcomes ? see Aspinall in addition to Jacobson, 2007; Battistin in addition to Sianesi, 2006 Measurement error in ethnicity in addition to EAL Multiple measures from LSYPE Ethnicity in addition to ethnic origin self report Ethnicity in addition to ethnic origin parents Language spoken at home Frequency of English spoken at home Measures from PLASC Ethnicity EAL binary indicator

Measurement Error Misclassification of ethnicity not huge Sub sample in consideration of whom we have full data in addition to who live alongside both natural parents 7814 136 individuals recorded as white British in PLASC but are not according so that LSYPE 57 individuals recorded white British in LSYPE but not in PLASC Evidence of misclassified EAL 7.2% young people labelled EAL in PLASC but appear not so that be from LSYPE Ethnicity of those ?wrongly? coded EAL in PLASC Correlations alongside error EAL/non white sample

Modelling causes of segregation Linked MCS data alongside NPD/PLASC Details of current school, ranked school choices, reasons in consideration of school choice Can provide missing covariates in models of causes of segregation e.g. attitudes so that school choice Currently project investigating school choice in MCS (Burgess, Greaves, Vignoles in addition to Wilson) Short Courses Introduction so that Data Linkage: The Value of Data Linkage in consideration of Research Data Linkage ? Methodological in addition to Statistical Issues Enhancing Longitudinal Surveys by Linking so that Administrative Data: Longitudinal Data Analysis Event History Analysis Using Longitudinal Data Linkage so that Evaluate Area-Based Interventions Data Linkage alongside the NPD

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