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Journals / Erzincan Üniversitesi Eğitim Fakültesi Dergisi / 2019 / Cilt: 21 - Sayı: 1

Missing Data Management Practices in L2 Research: The Good, The Bad and The Ugly

İkinci Dil Araştırmalarında Kayıp Veri Yönetim Uygulamaları: İyi, Kötü ve Çirkin

Talip GONULAL
Pages
56–73
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results indicated that missing data were indeed quite common in L2 research in that 41% of the studies indicated evidence of missing data, but L2 researchers’ management and reporting of missing data was often less than optimal.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Missing data are one of the frequently encountered problems in quantitative research.
📊
Key Findings & Data:However, the issue of missing data in quantitative second language (L2) research has largely been ignored when compared to the other sister disciplines such as education and psychology.
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Conclusion & Impact:The results indicated that missing data were indeed quite common in L2 research in that 41% of the studies indicated evidence of missing data, but L2 researchers’ management and reporting of missing data was often less than optimal.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Kayıp veri · nicel araştırma yöntemleri · istatistiksel okur-yazarlık

Abstract

Missing data are one of the frequently encountered problems in quantitative research. When neglected or handled improperly, this problem can have adverse impact on research results. However, the issue of missing data in quantitative second language (L2) research has largely been ignored when compared to the other sister disciplines such as education and psychology. The purpose of this methodological synthesis was, therefore, to investigate the issue of missing data in L2 research, with a particular focus on L2 researchers’ current missing data management practices. A total of 143 studies published in six leading L2 journals were reviewed in this synthesis. The results indicated that missing data were indeed quite common in L2 research in that 41% of the studies indicated evidence of missing data, but L2 researchers’ management and reporting of missing data was often less than optimal. In light of the results, several directed suggestions were made to improve the rigor and quality of L2 research.

Özet

Kayıp veriler nicel araştırmalarda sıklıkla karşılaşılan sorunlardan biridir. İhmal edildiğinde ya da yanlış şekilde ele alındığında, kayıp veriler araştırma sonuçları üzerinde olumsuz etki yaratabilir. Ancak, eğitim ve psikoloji gibi diğer yakın alanlarla karşılaştırıldığında, ikinci dil araştırmalarında kayıp verilerin durumu göz ardı edilmiştir. Bu nedenle, bu metodolojik sentezin amacı ikinci dil araştırmalarındaki mevcut kayıp veri yönetim uygulamalarını araştırmaktır. Bu sentezde ikinci dil araştırmaları dergisinde yayınlanan toplam 143 çalışma ele alındı. Sonuçlar, ikinci dil araştırmalarında kayıp verilerin gerçekten oldukça yaygın olduğunu gösterdi. İncelenem çalışmaların %41’inde kayıp veri bulgusuna rastlanmıştır. Ancak, ikinci dil araştırmacılarının kayıp veri yönetimi ve sunumu genel olarak çok yetersiz. Sonuçların ışığında, ikinci dil araştırmalarının kalitesini artırmak için çözüm odaklı bazı öneriler sunulmuştur.

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Cite This Article

GONULAL, T. (2022). Missing Data Management Practices in L2 Research: The Good, The Bad and The Ugly. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, Cilt: 21 - Sayı: 1, 56–73. https://ajindex.com/articles/504982

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