Dataset Restricted Access
Mixed Methods Data on Language Education for Newly Arrived Migrant Students in Turkey and Germany
Atmacasoy, Abdullah
Thesis supervisor(s)
Akar, Hanife;
Gogolin, Ingrid
This dataset contains qualitative and quantitative data from the doctoral dissertation “Learning the language of instruction in monolingual countries: A mixed methods comparative study on newly arrived migrant students in Turkey and Germany”.
It is available for reuse and reanalysis. Researchers are encouraged to explore the dataset to pose new questions and conduct further analyses from different perspectives.
The study investigated organization of destination language support for newly arrived migrant students in monolingual school contexts and explored contextual factors determining their language proficiency. Istanbul (IST) and Hamburg (HAM) were illustrative cases. Drawing on Bronfenbrenner’s ecological theory, the study focused on students in lower-secondary education through a four-phase mixed methods convergent comparative design.
Qualitative Data
The qualitative data includes:
- Interviews with students (n = 22 IST, n = 6 HAM), teachers (n = 15 IST, n = 6 HAM), school administrators (n = 10 IST), parents (n = 6 IST, n = 3 HAM), and key informants (n = 2 IST, n = 7 HAM).
- Classroom observation notes from the language preparatory classes, which covers 21 hours in Istanbul and 12 hours in Hamburg.
Interview languages include Turkish, German, and English, depending on the participant group. Classroom observation notes are in Turkish.
Quantitative Data
The quantitative dataset consists of:
- Survey data from 245 Syrian refugee students in Istanbul and 189 newly arrived migrant students (mixed-migrant group) in Hamburg
- Variables on:
- Destination language proficiency (self-assessed Turkish/German skills)
- Migration-related individual characteristics (e.g., age at migration, length of stay, prior schooling, first language proficiency)
- Family environment (e.g., family language proficiency in Turkish/German, family involvement in education)
- Classroom learning environment
- Descriptive information (e.g., gender, age, district)
Dataset Files
The dataset includes:
- Raw qualitative and quantitative data files
- Interview schedules and classroom observation protocols
- Participant characteristics for interviews
- Documentation of quantitative variables
Access and Further Information
For detailed information on data collection, validation, and research design, please refer to the Method chapter of the open-access dissertation available in the Middle East Technical University Repository.
This space will be regularly updated with relevant publications based on this dataset.
Restricted Access
You may request access to the files in this upload, provided that you fulfil the conditions below. The decision whether to grant/deny access is solely under the responsibility of the record owner.
Affiliation or Profile
- Scientific Institution: Applicants must state their affiliation with a recognized scientific institution (e.g., university, research institute).
- Independent Researchers: If unaffiliated, applicants should summarize their current profile, including any relevant research experience or expertise.
Research Project or Data Use Intention
- Applicants must submit a concise description of their research project or intended use of the data. The description should clearly outline the purpose, scope, and relevance of the data to their work.
Involved Persons
- The applicant should list any additional persons who will have access to the data or be involved in the project.
Commitments
Applicants accessing the data must commit to the following:
- Handle the data securely and maintain strict confidentiality.
- Refrain from any attempts to re-identify individuals or entities in the data.
- Do not share or distribute the data to third parties without explicit permission.
- Use the data exclusively for the stated research project or purpose.
Acknowledgment of Reference
- Any publications or outputs utilizing the data must include a proper reference to the dataset.
By meeting these conditions and commitments, applicants ensure ethical and secure usage of the data. Failure to comply may result in the revocation of access.
- Publication date:
- March 5, 2025
- DOI:
-
- Keyword(s):
- language education newly arrived migrant students refugee students Turkey Germany
- Awarding University:
- Middle East Technical University
- Communities: