Coding_Template_Reliability_64

Detailed coding rules, category definitions, inclusion criteria, and validation procedures are documented in the accompanying codebook.Dataset ContentsThe repository contains two complementary files:File 1: DatasetThis file contains the structured dissertation metadata and coding results used for analysis.Typical variables include:Thesis_ID: Unique identifier assigned to each dissertation.Country: Türkiye or Germany.Year: Year of publication.Degree_Type: Master's or Doctoral dissertation.Discipline: Academic field or disciplinary classification.Title: Original dissertation title.Keywords: Author-provided keywords where available.Theme_Codes: Assigned thematic categories.Methodology_Code: Research methodology classification.Digitalization: Presence/absence of digitalization-related topics.Pandemic: Presence/absence of pandemic-related topics.Family_School: Presence/absence of family-school collaboration themes.Additional thematic indicators used in the study.File 2: CodebookThe codebook documents:Variable definitions.Coding categories.Thematic dictionaries.Inclusion and exclusion criteria.Coding decision rules.Validation procedures.Examples of category assignment.File Naming ConventionThe repository follows the naming convention:Dataset_Family_Dissertations_TR_DE_2019_2024.xlsxCodebook_Family_Dissertations_TR_DE_2019_2024.pdfFile names indicate the content, geographical scope, and temporal coverage of the data.Research ValueThe dataset provides a unique cross-national resource for researchers interested in:Family studies.Educational research.Comparative social sciences.Dissertation and thesis research.Bibliometric analysis.Thematic trend analysis.Research policy and agenda-setting studies.The data enable replication of the published analyses and support secondary analyses of thematic developments in family-related academic research across two national contexts.Reuse

Notes

All metadata were obtained from publicly accessible repositories. The dataset contains no personal or sensitive information beyond publicly available bibliographic records. Users are encouraged to consult the accompanying codebook before conducting secondary analyses to ensure correct interpretation of variables and coding categories.