The Educational-Training Transition and Labour Insertion Survey aims to investigate the educational trajectory and the transition of university graduates to the labour market: to obtain data and references on the quality of labour placement, understand the conditions under which the labour market is accessed, the suitability of studies to the work carried out, and the type of contract or mobility. In short, it is a set of indicators that make it possible to understand the situation of these groups and relate them with the degree program completed.
This study has been carried out on those with a General Certificate of Secondary Education (GCSE), General Certificate of Education, Vocational Education and Training (VET), Certificate in Higher Education (CHE) and students who left educational system in the GCSE, throughout the national territory. Regarding the temporal scope, graduates in the 2013-2014 academic year were taken as the study group to carry out the survey in 2019.
The variables studied have been classified into seven groups: sociodemographic data, educational trajectory, complementary training, geographic mobility, current employment situation, employment history and household information.
The ETEFIL-2019 uses the National Classification of Education (CNED-2014) to code the field of study corresponding to the degree carried out.
Likewise, the National Classification of Occupations (NCO-11) has been used for the classification of the different jobs performed, and the CNAE 2009 for the classification of the economic activity of the company.
The population under study are graduates in the 2013-14 academic year in General Certificate of Secondary Education (GCSE), General Certificate of Education, Vocational Education and Training (VET), Certificates in Higher Education (CHE) and students who dropped out of the GCSE in the 2013-14 academic year; that is, levels 21, 22, 32, 33, and 51 of the National Classification of Education (CNED-A 2014).
The basic statistical units are Graduates in the 2013-14 academic year with a General Certificate of Secondary Education (GCSE), Baccalaureate, Intermediate Vocational Training (VET), Certificate in Higher Education (CHE) and students who dropped out of the educational system during the GCSE in the 2013-14 academic year.
The population scope of this statistic consists of all Graduates from an educational centre in Spain in the 2013-14 academic year with a General Certificate of Secondary Education (GCSE), Baccalaureate, Intermediate Vocational Training (VET), Certificate of Higher Education (CHE) and students who dropped out of the educational system while pursuing the GCSE in the 2013-14 academic year.
The territorial scope is formed by all non-university educational centres in the national territory.
The temporal scope is the year 2019.
This is the second edition of this survey, the base period is the year 2005.
The units of measurement are the graduates in the 2013-14 academic year in the General Certificate of Secondary Education (GCSE), Baccalaureate, Intermediate Vocational Training (VET), Certificate of Higher Education (CHE) and students left the education system while comleting GCSE in the 2013-14 academic year.
Relative figures are expressed in%.
The unit of measurement of the table of the lower limits of the quintiles of the contribution bases for third parties is the euro.
The time period to which the data refers varies according to the nature of the variables to be investigated. The reference period is the time of the interview (the collection period was from September 2019 to January 2020), or from the time of completion of education in the year 2014 to the time of the interview (for variables of educational trajectory and employment placement).
Data referring to the period: ETEFIL-2019
The compilation and dissemination of the data are governed by the Statistical Law No. 12/1989 "Public Statistical Function" of May 9, 1989, and Law No. 4/1990 of June 29 on “National Budget of State for the year 1990" amended by Law No. 13/1996 "Fiscal, administrative and social measures" of December 30, 1996, makes compulsory all statistics included in the National Statistics Plan. The National Statistical Plan 2009-2012 was approved by the Royal Decree 1663/2008. It contains the statistics that must be developed in the four year period by the State General Administration's services or any other entity dependent on it. All statistics included in the National Statistics Plan are statistics for state purposes and are obligatory. The National Statistics Plan 2021-2024, approved by Royal Decree 1110/2020, of 15 December, is the Plan currently implemented. This statistical operation has governmental purposes, and it is included in the National Statistics Plan 2021-2024. (Statistics of the State Administration).
This Statistical Operation has been included in the National Statistical Plan 2017-2020 complying with one of the recommendations made by the High Council on Statistics on national statistical needs in the education sector.
Various sources of administrative information have been used to carry out this statistical operation on the basis of the following agreements:
- Cooperation agreement between the SS and the INE in statistical matters for the use of the file of Affiliations and Bases of Contribution of the General Treasury of the Social Security
- Cooperation agreement between the INE- IMSERSO- CERMI- MSSSI- ONCE Foundation for the use of the State Base of Persons with Disabilities (BEPD).
Data from administrative records have been used in this statistical operation. The Survey Framework has been provided by the Ministry of Education and Vocational Training and has been prepared in collaboration with the Autonomous Communities within the Statistical Commission of the Education Sector Conference, based on the basic information of the Statistics on Vocational Training Students, Statistics on Non-university Education, the State Registry of Titles and the Information Systems of the Educational Administrations. The other sources of administrative information used in this statistical operation are: the Affiliations and Contribution Bases files (Social Security), the Register of Inhabitants and the Register of Spaniards Residents Abroad - PERE (INE), the files of Contracts and Occupational Training of the State Public Employment Service (SPES) and the State Database of People with Disabilities (SDPD)
Educational-Training Transition and Labour Insertion Survey (ETTLIS) carried out by the INE; the first was in 2005.
Starting in 2019, the survey period will be four years.
A press release was issued when the data was released in November 2020. It can be consulted at
The information disseminated is the following:
DEFINITIVE DATA:
Absolute and relative figures, for graduates in GCSE, Baccalaureate (General Certificate of Education), Vocational Education and Training, Certificates in Higher Education and abandonment of GCSE:
INEbase is the system the INE uses to store statistical information on the Internet. It contains all the information the INE produces in electronic formats. The primary organisation of the information follows the theme-based classification of the Inventory of Statistical Operations of the State General Administration . The basic unit of INEbase is the statistical operation, defined as the set of activities that lead to obtaining statistical results on a determined sector or subject based on the individually collected data. Also included in the scope of this definition are synthesis preparation.
The results of this statistical operation can be consulted in the "Education" section within "Society" in INEbase at the following link:
The anonymized microdata file of ETEFIL 2019 is available on the INE website:
In order to guarantee confidentiality, certain variables have been eliminated (name and surname,... in addition to all the variables that contained a literal).
Interested users may request, through the INE Dissemination Area, any specific consultation or use of information as it is carried out, preserving in all cases the confidentiality of the data.
A detailed description is available at:
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The INE carries out two specific analyses to assess the quality of ETTLIS data. First, sampling errors are obtained and published together with the tabulation of results. And secondly, an analysis of non-response is performed and published on the website. Both results can be found on the ETTLIS results dissemination page:
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Furthermore, the following sections of this methodological report (items 10.7 to 17.2) constitute the user-oriented global quality report for this operation.
Quality assurance framework for the INE statistics is based on the ESSCoP, the European Statistics Code of Practice made by EUROSTAT. The ESSCoP is made up of 16 principles, gathered in three areas: Institutional Environment, Processes and Products. Each principle is associated with some indicators which make possible to measure it. In order to evaluate quality, EUROSTAT provides different tools: the indicators mentioned above, Self-assessment based on the DESAP model, peer review, user satisfaction surveys and other proceedings for evaluation.
The Educational-Training Transition and Labour Insertion Survey has established a series of mechanisms that contribute to guaranteeing the quality of the process and the results. Among them are the following:
- Data collection through CAWI and CATI applications with implementation of errors and warnings of incompatibility or incongruence between the survey responses in order to perform a first field cleaning at the time of data collection.
- Comprehensive testing of electronic questionnaires (CAWI and CATI) in order to verify the controls of inconsistencies in the responses.
- Specific training for interviewers with the participation and advice of experts from the National Statistics Institute.
- Periodic inspection of field work.
- Comprehensive review of the coding of questions that require it (current occupation and first job).
- Control of errors and warnings after the collection in order to corroborate the correct functioning of the applications and avoid systemic errors in the collection.
- Use of administrative records (Affiliations and Contribution Bases of the Social Security General Treasury; Contracts and Vocational Training Applicants of the Public State Employment Service) to assist in coding, validating and completing the information provided by the reporting units.
According to the measures implemented in the results collection and purification process described in the previous section, the strong points of the survey are:
- the absence of errors and inconsistencies between the answers to the questionnaire, thanks to the CAWI-CATI questionnaires and an initial purification in the field.
- Acceptable level of responses provided by proxy (6.4% of the total for GCSE graduates, 3.7% for Baccalaureate graduates, 2.6% for Vocational Education and Training, 1.9% for Certificates in Higher Education and 5.8% for those who left GCSE).
- Adequate classification according to the variables of occupation in the first job and in the current job due to the exhaustive purification process.
- results calibrated by sex, type of centre, modality, training cycle and Autonomous Community of study.
- Use of administrative sources to reduce the burden of questions to the informant and as an aid in purification. Affiliations and Bases of Contribution of the General Treasury of the Social Security; Contracts and Vocational Training Applicants of the Public State Employment Service (SPES).
- Use of the Register of Spaniards Resident Abroad (PERE) to obtain the address of respondents resident outside Spain.
- Cross-checking of the sample with the State Database of Persons with Disabilities (SDPD) to obtain estimates for this group.
Among the users of the survey are:
The INE has carried out general user satisfaction surveys in 2007, 2010, 2013, 2016 and 2019 and it plans to continue doing so every three years. The purpose of these surveys is to find out what users think about the quality of the information of the INE statistics and the extent to which their needs of information are covered. In addition, additional surveys are carried out in order to acknowledge better other fields such as dissemination of the information, quality of some publications...
On the INE website, in its section Methods and Projects / Quality and Code of Practice / INE quality management / User surveys are available surveys conducted to date.(Click next link)
User satisfaction surveys collect information for groups of statistics that can be seen on the INE website, in the Quality section-->Quality management-->Quality assessment and monitoring systems-->User surveys.
The survey is not regulated by European directive. Although there is no European harmonisation in this statistical field, with this new operation, Spain joins other countries that analyse the educational transition and job placement process for graduates in non-university education.
The requirements are marked by the needs of the primary users. The information required by the National Statistical Plan is thus fully collected.
Ultimately, the survey provides all required information, meaning that the "rate of mandatory statistical results available" will be R1=100%.
The sample design tries to minimise sampling errors and the different processes of the survey are aimed at eliminating or reducing, as far as possible, its errors, both in the collection phase (response rate and cleaning control) and in the subsequent editing and imputation phases.
The estimators used are post-stratified estimators. On the other hand, reweighting techniques (calibrated) have been applied according to sex, type of centre, modality, training cycle and Autonomous Community of study, which allows the results of the deviations that occur due to the lack of response to be adjusted.
Finally, the exhaustive and centralized refinement of the coding of variables, such as occupation, has made it possible to ensure the homogeneous and controlled processing of the subsequent sample classifications, avoiding bias in the results.
Sampling errors are calculated for the current employment situation at different levels of disaggregation. Sampling errors are also calculated on the subsequent educational trajectories of the groups of graduates in GCSE, General Certificate of Education, and those who dropped out of GCSE. The results can be found in the tabulation of the survey at the following link:
During the entire statistical process, there is a control of non-sampling errors.
The main source of non-sampling errors is due to the lack of response from respondents. For the ETTLIS, the two main response indicators are:
Proportion of effective sample (People surveyed/Theoretical sample)=74.6% for GCSE, 76.4% for Baccalaureate, 69.5% for Vocational Education and Training, 70.7% for Certificates in Higher Education and 35, 3% for Abandonment of GCSE.
Response rate (People surveyed/People surveyable)=97.3% for GCSE, 98.6% for Baccalaureate, 97.8% for Vocational Education and Training, 98.2% for Certificates in Higher Education and 93.7 % for Abandonment of GCSE.
The non-response rate per unit:
- A4 (GCSE)=25.6%.
- A4 (Baccalaureate)=23.6%.
- A4 (VET)=29.6%.
- A4 (CHE)=28.2%.
- A4 (Abandonment of GCSE)=59.9%.
A full non-response analysis document is provided which can be found at the following link:
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The data reference period is from September 2019 to January 2020.
The publication of the definitive data takes place 10 months after the end of the reference period. TP2 = 10
The dissemination of data is carried out in accordance with the schedule of availability of the structural statistics prepared and published annually by the INE.
The availability of a methodology, a design and a common process of collection, filtering, editing and updating in all its geographical area, guarantees the comparability of the results between the different Autonomous Communities.
This is the second survey on educational-training transition and job placement. The first edition was carried out in 2005, with the graduates of the 2000-01 academic year.
The use of the National Classification of Education (NCED), the National Classification of Occupations (NCO) and the National Classification of Economic Activities (CNAE), allows comparability with other Statistical Operations that use these same classifications.
The coherence between the variables is contrasted from the moment of data capture through the computer application (control of errors and warnings) and is reviewed in the cleaning process in the office. This process has made it possible to provide the variables collected in the questionnaire.
Since the survey was aimed at graduates from the 2013-2014 academic year, and in order to reduce costs and optimize data collection, internet information collection (CAWI) was selected. This method gives the respondent the possibility of completing the survey at the desired time, in addition to significantly reducing the cost of collection.
The estimated budget appropriation necessary to finance this statistic foreseen in the 2020 Annual Programme is 474.45 thousand euros.
The INE of Spain has a policy which regulates the basic aspects of statistical data revision, seeking to ensure process transparency and product quality. This policy is laid out in the document approved by the INE board of directors on 13 March of 2015, which is available on the INE website, in the section "Methods and projects/Quality and Code of Practice/INE’s Quality management/INE’s Revision policy" (link).
This general policy sets the criteria that the different type of revisions should follow: routine revision- it is the case of statistics whose production process includes regular revisions-; more extensive revision- when methodological or basic reference source changes take place-; and exceptional revision- for instance, when an error appears in a published statistic-.
Final data is published and is not subject to revision. No preview was published in ETTLIS-2019.
The published data are final, not subject to revision.
According to the survey objectives and the data collection method, the type of sampling used is a simple stratified random sampling.
The Survey Framework was the General Certificate of Secondary Education (GCSE), General Certificate of Education, Vocational Education and Training (VET), Certificates in Higher Education (CHE) and students who dropped out of the GCSE in the 2013-14 academic year. This Framework has been provided by the Ministry of Education and Vocational Training and has been prepared in collaboration with the Autonomous Communities within the Statistical Commission of the Education Sector Conference based on the basic information of the Statistics on Vocational Training Students, of the Statistics of the Non-university Education, the State Registry of Degree Titles and the Information Systems of the Educational Administrations.
For analysis of the size of the global sample, the distribution of the total number of graduates by type of centre and Autonomous Community has been used. For graduates in Intermediate and Upper-level Vocational Education and Training, the distribution of total graduates by the training cycle in which they graduated has also been provided.
To achieve the survey objectives, the size of the theoretical sample was set at approximately 8,500 graduates from GCSE and 7,000 from Baccalaureate (General Certificate of Education), 8,000 from Vocational Education and Training, 11,000 from Certificates in Higher Education and 5,000 from GCSE dropouts.
To obtain the addresses of the graduates selected in the sample, we used -as in all household surveys- the addresses found in the Municipal Register. Taking into account that the graduates could be residing abroad, those who were not located in Municipal Register were searched for in the Registry of Spaniards Residing Abroad (PERE).
In order to reduce the burden on informants, administrative records such as the Affiliations and Contribution Bases files (Social Security) and the State Database of People with Disabilities (SDPD) were used.
Administrative records such as the Contracts and Occupational Training files of the State Public Employment Service (SPES) and the Affiliations and Contribution Bases files (Social Security) have also been used as an aid in purification.
The first time the Educational-Training Transition and Labour Insertion Survey (ETTLIS) was carried out was in 2005.
From that edition of the survey (2019) onwards, the frequency of data collection will be every four years.
The questionnaire has been elaborated by a working group (in which the INE participated).
The interviews are carried out using a combined system of CAWI (computer-assisted web interview) and CATI (computer-assisted telephone interview). For the first phase (CAWI), a letter is sent with the necessary passwords to access the questionnaire via Internet. Prior to the CATI interview, the selected person is sent an informative letter with a 900 number in which additional information can be requested or an appointment can be made with the interviewer. During the entire collection period, the possibility of completing this form through CAWI remains open if the person so wishes.
Data collection has been carried out from September 2019 to January 2020.
The monitoring process of the information to guarantee its quality is carried out in two phases:
1/ During the course of the interview: both the computer-assisted web interview (CAWI) and the computer-assisted telephone interview (CATI) allow the incorporation into the electronic questionnaire of validation rules for errors and inconsistencies that must be cleaned at the very moment of the interview. Likewise, it allows to incorporate warnings about slight inconsistencies to be directly compared with the respondent.
2/ Office work: Once the data has been received, a cleaning application allows an exhaustive control of the data, analysing errors, serious inconsistencies, slight inconsistencies, extreme values, monitoring of marginal distributions, crossing tables, etc.
In a complementary way, crosses are programmed or subsets of data are extracted to analyse specific variables.
The serious errors or invalid values detected in the first weeks of the information collection period through the CAWI channel made it possible to improve the electronic questionnaire of the CATI collection channel.
Errors that may be due to misinterpretation of questions were transmitted to the interviewers so that they could take this into account during the course of their work.
>Among the processes applied to the initial data until suitable aggregate data may be obtained, are:
1/Data processing. During the cleaning process, it is carried out the detection and cleaning of errors and inconsistencies in the main variables. According to the characteristics of each type of error, automatic imputation procedures are used, in some cases using information provided by administrative records.
2/ Adjustment of non-response and calibration3/ Calculation and revision of the elevation factors.
No temporary adjustments are made.