THE USE OF BIOMETRICS IN AGRICULTURAL RESEARCH: WHAT DO WE DO WRONG? (CROSBI ID 654053)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Pecina Marija
engleski
THE USE OF BIOMETRICS IN AGRICULTURAL RESEARCH: WHAT DO WE DO WRONG?
Biometric analyses are an irreplaceable and powerful tool in agricultural scientific research. Moreover they are constantly evolving into advanced and more complex biometric models ; they are adapting and developing simultaneously with the basic topics and objectives of the research. However, before using the complex models the researchers need to be aware of potential errors and omissions at the very beginning of the study as well as of the misuse of generally known and widely used biometric techniques.A significant increase in the use of statistical methods has been documented in a wide range of biotechnical journals. However, a large portion of the published agricultural research contains statistical errors and flaws, or is rejected for publication by higher ranking journals due to generally low quality of the statistical analyses. Most of the problems arise from the lack of understanding of statistical techniques, their proper use, and their limitations. The availability of a 'user-friendly' statistical software has caused authors to become increasingly careless about the logic of interpreting their results and to rely uncritically on a computer output. It has become common and comfortable to use the 'default option' although a slightly different option would be more correct or at least more appropriate. Therefore biometricians should be involved in the early stages of planning the experimental design as mistakes at this point can have major negative repercussions affecting all subsequent stages of agricultural research. My intention is to present some of the common statistical pitfalls which may occur at different stages in the scientific research process, ranging from planning studies, through conducting statistical data analyses and documenting statistical methods applied, to interpreting and presenting the study results. Key Words: Statistics in Agricultural Research ; Common Pitfalls and Errors ; Experimental Design ; Statistical Analysis ; Interpretation ; Presentation
Statistics in Agricultural Research ; Common Pitfalls and Errors ; Experimental Design ; Statistical Analysis ; Interpretation ; Presentation
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Podaci o prilogu
36-36.
2016.
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objavljeno
978-99938-93-37-0
Podaci o matičnoj publikaciji
AgroRes 2016 Book of Abstracts
Đurić Gordana
Banja Luka: Poljoprivredni fakultet Univerziteta u Banjoj Luci
Podaci o skupu
5th International Symposium on Agricultural Sciences AgroReS 2016
pozvano predavanje
29.02.2016-03.03.2016
Banja Luka, Bosna i Hercegovina