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Journals / Harran Üniversitesi Ziraat Fakültesi Dergisi / 2011 / Cilt: 15 - Sayı: 4

Agricultural data assessment with meta analysis

Meta analiz ile tarımsal verilerin değerlendirilmesi

Zeki DOĞAN
Mehmet ŞELLİ
Pages
45–56
Publication Date
2022-10-17
DOI
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AI Summary & Key Takeaways

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

As a result of this evaluation, the researchers were presented the possibility to reachmor e reliable results by combining the studies that were carried out in different places during differenttimes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study focuses on the qualitative and quantitative combination of various studies that were carriedout in different places during different times and the meta -analysis, which is an auxiliary statisticalmethod used to reach a result thus emphasized the agricultural data can be evaluated by using thismeta -analysis.
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Key Findings & Data:In scope of the application chapter of the study, a simulation work consisting of dataobtained from the software produced with Microsoft Visual Basic Studio 2010 C# programminglanguage was evaluated by the meta -analysis.
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Conclusion & Impact:As a result of this evaluation, the researchers were presented the possibility to reachmor e reliable results by combining the studies that were carried out in different places during differenttimes.
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:Domain Parameters

Abstract

This study focuses on the qualitative and quantitative combination of various studies that were carriedout in different places during different times and the meta -analysis, which is an auxiliary statisticalmethod used to reach a result thus emphasized the agricultural data can be evaluated by using thismeta -analysis. In scope of the application chapter of the study, a simulation work consisting of dataobtained from the software produced with Microsoft Visual Basic Studio 2010 C# programminglanguage was evaluated by the meta -analysis. Odds ratio was used as an effective measurement onthis example and it was determined whether heterogeneity specification is important or not by using Qtest statistic. As a result of this evaluation, the researchers were presented the possibility to reachmor e reliable results by combining the studies that were carried out in different places during differenttimes.

Özet

Bu çalışmada, belirli bir konu üzerinde farklı yer ve zamanlarda yapılmış birçok çalışmayı bir arayagetirip niteliksel ve niceliksel olarak birleştirmeye ve o konuda bir sonuca ulaşmaya yardımc ıistatistiksel bir yöntem olan meta analizi üzerinde durulmuş ve meta analiz ile tarımsal veriler indeğerlendirilebileceği gösterilmiştir. Çalışmanın uygula ma kısmında, Microsoft Visual Basic Studio2010 C # programlama dili ile yazılmış programdan elde edilen verilerle bir simülasyon çalışmasıyapılarak meta analiz ile yorumlanmıştır. Bu örnek üzerinde etki ölçütü olarak odds oranı kullanılmışve çalışmalar arası heterojenliğin önemli olup olmadığı ise Q test istatistiği ile tespit edilmiştir. Buşekilde araştırıcılara aynı konu üzerinde farklı yer ve zamanlarda yapılmış çalışmaları birleştirerek okonu üzerinde daha güvenilir sonuçlara ulaşmaları ve daha doğru yorumlama imkânları sunulmuştur.

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Cite This Article

DOĞAN, Z., ŞELLİ, M. (2022). Agricultural data assessment with meta analysis. Harran Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 15 - Sayı: 4, 45–56. https://ajindex.com/articles/534518

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