Long term experiments are commonly analysed at the end of the experiment using all the data collected over the entire duration of the experiment. Various methods are adopted to analyse such data but, in general, little consideration is given to the effect of climatic factors during this period. Consequently, information gathered from such an analysis is often incomplete. An alternative approach for data analysis is proposed where the successive years of the experiment are classified jnto two states, namely, "Good year" and "Bad year" depending on the weather conditions. As a result, four different possible situations namely, "good year followed by a bad year", "good year followed by a good year", "bad year followed by a good year" and "bad year followed by a bad year" are considered. The method is illustrated using a data set from a trial carried out at the Coconut Research Institute and has demonstrated the feasibility of obtaining precise information on the treatment effect.
How to Cite:
PEIRIS, T.S.G. and SENEVIRATNE, E.K., 2010. An Alternative Approach for Analysis of Data from a Long-Term Experiment. COCOS, 7, pp.14–20. DOI: http://doi.org/10.4038/cocos.v7i0.2058