This study was aimed to review the abstracts of articles on Turkish language teaching according to content components (introduction/aim, method, findings/conclusion, and implications), formal components (word count and keywords) and relationship between content and formal components. The study used descriptive survey design, data collected using document analysis, one of the qualitative methods and techniques, and analyzed through descriptive analysis. The study materials were consisted of 200 articles, selected from 20 journals indexed in TR Dizin that publish articles on Turkish education. To analyze the article abstracts in this study, an "Article Abstract Evaluation Form" was developed by the researcher. In our study, it was found that the average score for the article abstracts published in the journals was 15.1, which corresponds to 76%. The highest success was observed in the introduction/aim (97%) and finding/conclusion (96%) sections, while the lowest success was in the recommendation section (23%), and the method section achieved 81% success. It was found that the journals with the highest scores for abstracts were Turkish Studies, Journal of Mother Tongue Education, and EKEV Academy Journal. In our study, it revealed that the average word count for the article abstracts was 181 words, with a range between 132 and 242 words and the average number of keywords was 4,00. It was determined that there was a positive correlation between the average word count and the scores of the abstracts, and a positive correlation between the word count of the abstracts and the sub-components of method and suggestion. In this case, some suggestions can be put forward. First, the journal's editorial team should more carefully check abstracts for adherence to the journal’s guidelines. Second, journals could raise the word count limit to a level that allows authors to fully reflect the introduction/aim, method, findings/conclusion, and implications in their abstracts.

Turkish language education, abstracts, articles, document analysis.