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Key Methodological Issues of Tracer Studies – Challenges for a Guide on Tracer Studies Presentation at the Validation Seminar on Methodological Guides for Skills Anticipation and Matching - Cedefop-ILO-ETF expert seminar Prague, President Hotel, 6-7 March 2014 By Harald Schomburg, University of Kassel

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Page 1: Key Methodological Issues of Tracer Studies … Methodological Issues of Tracer Studies ... How to plan and design a Tracer Study, How to formulate the research ... Graduate survey

Key Methodological Issues of Tracer Studies – Challenges for a

Guide on Tracer Studies Presentation at the Validation Seminar on Methodological Guides for Skills Anticipation and Matching -

Cedefop-ILO-ETF expert seminar

Prague, President Hotel, 6-7 March 2014

By Harald Schomburg, University of Kassel

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives 4. Challenges of Timing 5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives 4. Challenges of Timing 5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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Background: Research Experiences

30 years of experiences as researcher at the International Centre of Higher Education Research (INCHER-Kassel); research centre of the University of Kassel (part of the university) with about 20-30 researchers. Research focus: Higher education and work; HE systems and structures; (international) graduate surveys (CHEERS; REFLEX; PROFLEX; HEGESCO) Graduate Survey Cooperation Project (KOAB) – yearly surveys in cooperation with about 70 universities (2012/2013: about 70,000 questionnaires will be collected) Training of Tracer Study researchers from Africa, Asia, Europe and Latin America International network of graduate surveys (INGRADNET)

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University Kassel: in the Heart of Germany

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Located in the center of

Germany and Europe

Unique unity of urban

culture and landscape

City of the documenta

Parks and recreational areas

Center for industry, services

and civil administration

of nothern Hesse

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Background: International Tracer Study Cooperation

Central America Costa Rica, El

Salvadore, Honduras,

Guatemala, Mexico, Nicaragua, Panama

Africa Cameroon, Ghana, Kenya, Malawi, Namibia, Nigeria,

South Africa, Uganda, Tanzania

INCHER-Kassel

Asia Indonesia, Iran, Japan, Oman, Philippines,

Vietnam

Europe Austria, Belgium, Czech Republic, Estonia,

Finland, France, Italy, Netherlands, Norway, Portugal, Romania, Spain, Sweden,

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Background: Previous Guides on Tracer Studies

Schomburg, Harald: Handbook for Graduate Tracer Studies. Kassel: University of Kassel, Centre for Research on Higher Education and Work, 2003 (mimeo). [http://www.uni-kassel.de/wz1/proj/edwork/mat/handbook_v2.pdf] Schomburg, Harald: Manual para Estudios de Seguimiento de Graduados Universitarios. Kassel: Wissenschaftliches Zentrum für Berufs- und Hochschulforschung, Universität Kassel, 2004 (mimeo). Schomburg, Harald: Standard Instrument for Graduate and Employer Surveys. Kassel und Eschborn: Wissenschaftliches Zentrum für Berufs- und Hochschulforschung, Universität Gesamthochschule Kassel und Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH 1995.

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives 4. Challenges of Timing 5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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The Audience of the Tracer Study Guide

Mainly people from educational institutions who are going to organize and implement tracer studies at their own institution (Institutional Tracer Studies) Users from various categories, notably:

Policy and decision makers (national, regional, sector levels) seeking to obtain information and data to inform decision making; Research centres and experts networks involved/engaged in carrying out tracer studies for clients; Associations and networks with interest on evidence offered by tracer studies.

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Objectives of the Guide on Tracer Studies

Institutional Tracer Studies: capacity building to enable VET/HE instituitions to learn from the labour market experiences of their graduates

Methodological competencies of staff engaged with Tracer Studies

Practical advise and examples: sample questionnaires and many recommendations „how to do“

Meaningful practical conclusions requires high quality of data

Long term perspective: regular tracer studies

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What the Users can Learn

How to plan and design a Tracer Study,

How to formulate the research questions/objectives,

How to develop the questionnaires,

How to collect and update the addresses of former students,

How to organize the data collection,

How to analyse the data and interpret the results.

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The Traditional Approach: Tracer Studies Conducted by Consultants

Advantages High professional expertise in conducting surveys High accountability – easy going for donor agencies

Disadvantages Low quality of results: Consultants do not have the necessary context knowledge for a meaningful interpretation of the results The specific needs of individual institutions and study programmes/training courses are ignored Low sustainability: No capacity building at the VET/HE institution Relative high costs

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The New Approach: Capacity Building for a Learning Organisation

Staff training

Data collection

Staff training

Data analysis

Staff training

Interpretation of results

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A cycle of 12 – 24 months

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1. Background of the Guide 2. Concept of the Guide

3. Challenges of Objectives 4. Challenges of Timing 5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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What are (Graduate) Tracer Studies?

Similar terms Graduate survey

Tracer study

Alumni research

Follow-up study (graduates)

Graduate career tracking

Target population Graduates of an institution of education (regardless the kind of degree)

Surveyed after graduation

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2. To evaluate

the relevance of

VET/HE (assessment)

3. To contribute to the

accreditation process

(accountability)

Objectives of Institutional Tracer Studies

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1. Development of the

VET/HE institution

(e.g. curriculum)

4. To inform students,

parents, lecturers and

administrators

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Conceptual Framework for Graduate Surveys 17

Student Input Students‘ bio

data, experiences, motives

Student Input Students‘ bio

data, experiences, motives

Output Kowledge, skills,

competences, motivation,

grades

VET/HE Input Study conditions and provisions

VET/HE Input Study conditions and provisions

Process Teaching and learning

Process Teaching and learning

Graduate Survey

Context: Labour market – region – country; socio-economic development and personal development

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Labor market signals

Outcomes Transition,

employment, work, professional success

service to society

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18 Socio-biographic background

Parents‘ education Gender

Motives and abilities Prior

education

VET/higher education Structures Study conditions Curricula

Study behaviour

Labour market

conditions

Socio-cultural

conditions

Region

Country

Competences Competences

Employment and work

Globalisation, internationalisation

Knowledge society

Life course

Transition process

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Indicators of Professional Success – Labor Market Signals – Employment Outcomes

Objective indicators Short search duration Employed or further study High income Appropriate position regarding level of education (job title; ISCO) Work tasks closely related to field of study (description of work tasks)

Subjective indicators Perceived links of kind of job and own level of education Perceived high use of competences Perceived high status (income, career perspectives) Perceived high work autonomy Perceived high job satisfaction

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Multi-dimensional

concept

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Traditional and New Type of Graduate Surveys

Traditional type – representative sample survey to inform the Ministry and other key stakeholders

Since more than 30 years E.g. France, Germany, Italy, Norway, Switzerland Irrelevant for individual institution

New type – institutional graduate surveys (all graduates from one institution of VET/HE)

(France), Germany, Hungary, Italy, Indonesia, the Netherlands, Romania Combination of a National Monitor and a feedback instrument for VET/HE institutions Relevant for individual institutions (reports for individual institutions, study program level breakdown of results)

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Scope of Graduate Tracer Studies and Target Population

D. Degree level

C. Subject

B. Institution

A. Country (national tracer study)

Country A

Institution A

Subject A

BA MA

Subject B

Institution B

Subject A

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Complex Approach of Institutional Questionnaires Every VET/HE institution Has an Own Questionnaire (Romania, Germany)

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Structure of the questionnaire

1. Core questions (have to be fixed for the whole project, contained in all versions of the questionnaire, warranted / guarantees comparability for institutions and national monitoring)

2. Optional questions (should be fixed for the whole project, institution decide the use in its questionnaire, give comparability only for institutions which using it, but no national monitoring)

3. Specific / individual questions (institutions are completely free for the content, no comparision possible, except some institutions using the same specific / individual questions, the layout have to fit the other quest. )

Core question

Core question

Core question

Core question

Core question

Core question

Optional question

Optional question

Specific question

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Myth: The Length of a Questionnaire is the Main Factor for the Response Rate

Wrong assumption: the longer the questionnaire the less the response rate

Experiences: in Germany no relation between number of pages (range 20 to 40) and return rate

Response rate depends mainly on the efforts of the VET/HE institution (number of contacts, quality of addresses)

The longer the questionnaire, the more research questions can be answered more relevant

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives

4. Challenges of Time and Timing 5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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Further education and training

The Complexity of Transition

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First degree

Further study, professional

training

Job search, unemployment

First temporary employment

„Regular“ employment

Family

The first five years after graduation

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Time Relation of Key Questionnaire Topics

Socio-biographic

data

Before study

During study

After study

At present

Education Before study

Course of study

After first degree

At present

Employment and Work

Before study

During study

After study

At present

Personality, competences, abilities, motivation

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Optimal Design of Graduate Surveys

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1- 2 years 4 - 5 years 1- 2 years 4 - 5 years

Time After Graduation Time After Graduation

Seldom

Seldom

Exit Survey

Most frequent

Most frequent

Graduate

Survey I

Student survey Student survey Graduate survey Graduate survey

Less frequent

Less frequent

Graduate

Survey II

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Chances and Problems of Panel Surveys

What is a panel survey? The same graduate is asked at different time points questions. The relationship of the answers can be analyzed.

Real individual change or trend?

What is the target population? Old addresses?

Retrospective design

Specific topics - be more specific

Heterogenity of professional development can be covered

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Content

Cross Sectional Graduate Survey at one Time Point

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Time After Graduation Time After Graduation

A. Socio-demographic information

B. Course of study C. Competences at

time of graduation

A. Socio-demographic information

B. Course of study C. Competences at

time of graduation

D. Transition to employment and further education

E. Employment and work requirements in the first job

D. Transition to employment and further education

E. Employment and work requirements in the first job

Graduate survey 5 years after graduation Graduate survey 5 years after graduation

F. Professional success G. Work tasks and competences H. Context factors I. Recommendation sfor impovements in study program

F. Professional success G. Work tasks and competences H. Context factors I. Recommendation sfor impovements in study program

Content of the questionnaire: about 300 to 600 variables

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Content

Survey at Three Time Points (Panel)

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Time After Graduation Time After Graduation

A. Socio-demographic information

B. Course of study C. Competences at

time of graduation

A. Socio-demographic information

B. Course of study C. Competences at

time of graduation

D. Transition to employment and further education

E. Employment and work requirements in the first job

D. Transition to employment and further education

E. Employment and work requirements in the first job

Panel design: only 100 variables in one survey Panel design: only 100 variables in one survey

F. Professional success G. Work tasks and

competences H. Context factors I. Recommendations

for improvements in study program

F. Professional success G. Work tasks and

competences H. Context factors I. Recommendations

for improvements in study program

Student survey Student survey Graduate survey 1 Graduate survey 1

1- 2 years 4 - 5 years 1- 2 years 4 - 5 years

Graduate survey 2 Graduate survey 2

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Advantages of a Panel Design with three Waves: at the time of Graduation, 1.5 and 4.5 years after garduation

Each questionnaire has a specific focus/research questions better quality

The questionnaires can be shorter better quality

Outputs (e.g. competences) can be best measured at the end of study much better quality

Adresses for further contacts can be collected at the end of study = preparation of the first graduate survey cost reduction + better quality

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Challenges of Panel Studies

Panel mortality possible selection bias and only a few cases could be left

Long term commitment of the VET/HE institution – planning of human resources for about 6 – 8 years

Higher requirements of professional competences of the researchers much more demanding (database management and statistical analysis)

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives 4. Challenges of Timing

5. Challenges of Data Analysis and Interpretation 6. Conclusions

Outline

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The Need to Achieve a High Quality of the Data: Can we trust the data?

Does the respondent belongs to the target population?

Are the answers serious?

Do we find indicators of cheating?

How shall we define and handle incomplete questionnaires (drop-outs)?

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Key Problems of Data Quality

Data editing Coding Plausibility check Detection and corrections of data errors Differentiation of missing values (e.g. filter, item non-response, drop-out) Incomplete data Drop-out analysis Imputation of missing data Data analysis and reporting

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Example: Response Rate of the KOAB Survey 2009, by Higher Education Institution (%)

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Source: INCHER, KOAB Absolventenbefragung 2009 Cohort 2007 01/03/2014

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The Magic of Response Rates

What are responses?

The lurker

Drop-outs

Net and gross response rate

What is the target population?

How to get a feedback about delivered invitations?

How to handle the drop-out problem?

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Requirements for a Methods Report

Questionnaire development (used sources, pretest)

Programming of the online questionnaire (software, testing)

Availability and quality of addresses (methods used to update addresses)

Documentation of procedures Methods and procedures of data protection

Process of data collection (dates of delivery)

Rules and actions in data editing

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Interpretation of Results

Interpretation and data analysis – group comparision, relationships

External (context) information Educational statistics

Labour market statistics

Labour force survey results

Causal effects (correlations of independent variables?)

Selection bias?

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Tools for Tracer Studies

The Guide on Tracer Studies Sample questionnaire Free software for online surveys: QTAFI online

Easy to use, data export Frequencies and crosstabs Documentation

Free software for automatic data capture with a scanner: QTAFI scanner International Network of Tracer Study Researchers (INGRADNET)

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1. Background of the Guide 2. Concept of the Guide 3. Challenges of Objectives 4. Challenges of Timing 5. Challenges of Data Analysis and Interpretation

6. Conclusions

Outline

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Lessons Learned

High response rates are possible to achieve in almost all countries High quality of the data is a pre-requisite of the relevance of the findings for research and institutional development Availability and quality of addresses (methods used to update addresses) seems not to be a real problem Documentation of survey procedures and data editing is necessary – culture of critique An excellent tracer study needs substantial support (including training for the researchers)

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Open Questions

Can Institutional Tracer Studies deliver relevant data to substitute a separate National Tracer Study?

How to ensure comparability of Institutional Tracer Studies?

Who collects the data and is responsible for data quality?

How can to build a system of Tracer Studies which is flexible and relevant for the institutions and for researchers (and the Ministry of Education) at the same time?

How to exchange systematically the experiences to improve the future Tracer Studies (building a learning culture)?

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Support Measures

The implementation of Institutional Tracer Studies is a long term perspective (5 to 10 years)

Network approach of institutions (cooperation)

A central support unit is needed Education research center (e.g. at university)

National monitor – national data base

Training, workshops and conferences

Publications, international contacts

Support of international cooperation: training, workshops and conferences, publications

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Tracer Study Researchers from Africa, America, Asia and Europe

International Conference „Experiences with Link and Match in Higher Education: Results of Tracer Studies Worldwide „ (Bali, 2012)

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Thank you very much for your attention

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