Database Expert Survey on Teacher Training and Support Policies by Country

Version 2.1

Van den Borre, Laura; Van Droogenbroeck, Filip; Spruyt, Bram, 2021, "Database Expert Survey on Teacher Training and Support Policies by Country", https://doi.org/10.17605/OSF.IO/8ADRH, Social Sciences and Digital Humanities Archive – SODHA, V2, UNF:6:qTi+LIadr4wl/iIVHI1YZg== [fileUNF]

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Description	Expert survey on teacher training and support policies by country developed by the Flemish team of the 2018 Teaching and Learning International Survey. Version 2.0: Data files were added to the dataset. Version 2.1: Typo removed
Subject	Social Sciences
Keyword	Lower-secondary school teacher, Teacher Salary, ISCED-2, Mentoring program
Related Publication	Spruyt, B., Van Droogenbroeck, F., Van den Borre, L., Emery, L., Keppens, G. A., & Siongers, J. (2021). Teachers’ perceived societal appreciation: PISA outcomes predict whether teachers feel valued in society. International Journal of Educational Research, 109, 1-12. [101833]. doi: 10.1016/j.ijer.2021.101833
Notes	The same version of this dataset is also available via the Open Science Framework. Van den Borre, Laura, Van Droogenbroeck, Filip, & Spruyt, Bram (2020). Database Expert Survey on Teacher Training and Support Policies by Country. Open Science Framework. https://doi.org/10.17605/OSF.IO/8ADRH.
License/Data Use Agreement	Custom Dataset Terms

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	1 to 2 of 2 Files	Original Format Archival Format (.tab)
	Script_telefonische follow-up.docx MS Word - 22.7 KB Deposited Aug 6, 2021 MD5: 1b5ad731402dcf738969f83378cbbcb9 Documentation	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX
	Technical overview Expert survey on teacher training and support policies by country.docx MS Word - 40.7 KB Deposited Aug 6, 2021 MD5: 236ea56709875a92f93d80ad00a8aa2e SurveyDocumentation	Access File File Access Public Download Options MS Word Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.17605/OSF.IO/8ADRH
Publication Date	2021-08-05
Title of Dataset	Database Expert Survey on Teacher Training and Support Policies by Country
Alternative URL	https://osf.io/8adrh/
Author	Van den Borre, Laura (Vrije Universiteit Brussel) - ORCID: 0000-0001-5709-3533 Van Droogenbroeck, Filip (Vrije Universiteit Brussel) - ORCID: 0000-0003-1133-3495 Spruyt, Bram (Vrije Universiteit Brussel) - ORCID: 0000-0003-0573-724X
Point of Contact	Use email button above to contact. Van den Borre, Laura (Vrije Universiteit Brussel)
Description	Expert survey on teacher training and support policies by country developed by the Flemish team of the 2018 Teaching and Learning International Survey. Version 2.0: Data files were added to the dataset. Version 2.1: Typo removed
Subject	Social Sciences
Keyword	Lower-secondary school teacher Teacher Salary ISCED-2 Mentoring program
Topic Classification	Compulsory and pre-school education (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Educational policy (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Employee training (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification Income, property and investment/saving (CESSDA Topic Classification) https://vocabularies.cessda.eu/vocabulary/TopicClassification
Related Publication	Spruyt, B., Van Droogenbroeck, F., Van den Borre, L., Emery, L., Keppens, G. A., & Siongers, J. (2021). Teachers’ perceived societal appreciation: PISA outcomes predict whether teachers feel valued in society. International Journal of Educational Research, 109, 1-12. [101833]. doi: 10.1016/j.ijer.2021.101833 https://doi.org/10.1016/j.ijer.2021.101833 Van Den Borre, L., Spruyt, B., & Van Droogenbroeck, F. (2021). Early career teacher retention intention: Individual, school and country characteristics. Teaching and Teacher Education, 105, [103427]. doi: 10.1016/j.tate.2021.103427 https://doi.org/10.1016/j.tate.2021.103427
Notes	The same version of this dataset is also available via the Open Science Framework. Van den Borre, Laura, Van Droogenbroeck, Filip, & Spruyt, Bram (2020). Database Expert Survey on Teacher Training and Support Policies by Country. Open Science Framework. https://doi.org/10.17605/OSF.IO/8ADRH.
Language	English
Producer	Producer Vrije Universiteit Brussel (VUB)
Production Date	2020-03-30
Production Location	Brussels, Belgium
Depositor	Admin, Dataverse
Deposit Date	2021-08-04
Time Period	Start: 2018-01-01 ; End: 2018-12-31
Date of Collection	Start: 2019-12-13 ; End: 2020-02-01
Data Type	Survey Data
Software Used to Create the Dataset	Qualtrics, Version: 2019 Excel, Version: 16.16.1
Related Material	http://talis2018.be
Related Dataset	Builds on data from Education at a glance, 2019: table D3.1a Teachers' statutory salaries, based on the most prevalent qualifications at different points in teachers' careers (2018).; Builds on data from European Commission/EACEA/Eurydice, 2019. Part II Teachers' and School Heads' Salaries: Annual gross statutory salaries of teacher, by experience (2017/18).; Builds on data from PISA 2015 results, 2016: Annex B1 Table II.6.56 Pre-service teacher training requirements in public institutions (2013).
Documentation and Access to Sources	The same version of this dataset is also available via the Open Science Framework. Van den Borre, Laura, Van Droogenbroeck, Filip, & Spruyt, Bram (2020). Database Expert Survey on Teacher Training and Support Policies by Country. Open Science Framework. https://doi.org/10.17605/OSF.IO/8ADRH.

Geospatial Metadata

Geographic Coverage

Argentina Buenos Aires
Australia
Austria
Belgium
Brazil
Bulgaria
Canada Alberta
Chile
China Taipei
Croatia
Cyprus
Czech Republic
Denmark
United Kingdom England
Estonia
Finland
France
Georgia
Hungary
Iceland
Israel
Italy
Japan
Kazakhstan
Korea, Republic of
Latvia
Lithuania
Malta
Mexico
Netherlands
New Zealand
Norway
Portugal
Romania
Russian Federation
Saudi Arabia
Singapore
Slovakia
Slovenia
Spain
Sweden
Turkey
United Arab Emirates
United States
Viet Nam

Geographic Unit

Country-level

Social Science and Humanities Metadata

Unit of Analysis	Individual expertise on national/regional teacher policies
Universe	Experts in teacher training and support policies TALIS countries
Time Method	Cross-sectional
Data Collector	Laura Van den Borre
Number of Variables	33
Sampling Procedure	Expert sampling with as prime selection criteria for the educational experts: academic excellence established with regards to the national teacher policies and/or membership to leading research groups in the field
Target Sample Size / Number of Units	39 Experts from 36 different countries or economies
Collection Mode	The questionnaire was hosted by Qualtrics and distributed online via personal invitations to 108 educational experts from the 48 TALIS-countries.
Type of Research Instrument	Structured survey
Characteristics of Data Collection Situation	The data from the expert survey has been anonymised.
Actions to Minimize Losses	Follow-up via telephone and email
Response Rate	For 19 countries, we did not succeed in gathering the relevant information. We conducted follow-up talks via telephone and email to ascertain the reasons for not participating. The most prevalent explanations were the complexity of the educational system (federal or regional organisation) and personal motifs (“too much work, too little time”).

Historical Metadata

History of the Data	These data were previously deposited on the platform of the Open Science Foundation, osf.io.

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY).

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Much care has been taken to ensure the accuracy and quality of the data and documentation. Nevertheless, the depositor or the producer of these resources will not be held liable for damage or loss enquiring from any act or omission resulting from the use of these resources.

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Custom terms specific to this dataset Custom Dataset Terms — the following Custom Dataset Terms have been defined for this dataset.

This work is licensed under a Creative Commons Attribution 4.0 International License (CC-BY).

Disclaimer Much care has been taken to ensure the accuracy and quality of the data and documentation. Nevertheless, the depositor or the producer of these resources will not be held liable for damage or loss enquiring from any act or omission resulting from the use of these resources.

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