Journals / Black Sea Journal of Engineering and Science / 2019 / Cilt: 2 - Sayı: 1

Contrast Analysis on Single Factorial Studies and Solution with SPSS

Pages
1–6
Publication Date
2019-01-01
DOI
—
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AI Summary & Key Takeaways

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

In conclusion, contrast analysis results showed that a great part of the difference between the methods is due to the difference between method 3 and the others (p <0.01) according to F test detailed with 1 degree of freedom.

📌 3 Key Takeaways

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Objective & Hypothesis:Contrast analysis is a method for comparing sets of means using specific coefficients for weighting the means.
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Key Findings & Data:The steps of the contrast analysis are explained using the SPSS.18 package program.
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Conclusion & Impact:In conclusion, contrast analysis results showed that a great part of the difference between the methods is due to the difference between method 3 and the others (p <0.01) according to F test detailed with 1 degree of freedom.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:ANOVA · Contrast · Mean comparison

Abstract

Contrast analysis is a method for comparing sets of means using specific coefficients for weighting the means. In this study, contrast analysis as a planned comparison method and its use in one-factor trial designs are examined. For this purpose, a hypothetical data set is used to analyze the data related to the amount of dry matter determined by three different methods. The steps of the contrast analysis are explained using the SPSS.18 package program. In conclusion, contrast analysis results showed that a great part of the difference between the methods is due to the difference between method 3 and the others (p <0.01) according to F test detailed with 1 degree of freedom.

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Cite This Article

ÇANGA, D., YENİPINAR, A., KARAOKUR, Ö. F., ÖNEM, A. B., EFE, E. (2019). Contrast Analysis on Single Factorial Studies and Solution with SPSS. Black Sea Journal of Engineering and Science, Cilt: 2 - Sayı: 1, 1–6. https://ajindex.com/articles/745130

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References (3)

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