I want to analyse pooled data of different locations as well as different years. The experimental design is Randomized Complete Block Design. Please suggest me which software is best suited for this and how to do it.
Dr Saab Ajay Singh
you can simply use any software for statistical analysis.
Generally as you already know that our university scholar often use OP Stat for these analysis.
After pooling the data (taking average/mean of the same parameters over different years), its nothing different from doing the analysis of experimental data obtained after 1 year of field trial.
Usually, we usually go for 2 way or 3 ways experiment/models for field trials
like seeking the
Effect of date of sowing/transplanting on varieties of any particular crop
along with Rate of fertilizer Application
at different irrigation levels.
in Split-Plot or any other design.
But the often used approach is to do the analysis of pooled data.
Which we can do on SPSS, SAS, or Simply in The MS-Excel Spreadsheets or OP Stat Software.
But when we repeat the same trails over years,
it is not sure that we find the same or relevant results in the confirmatory range of previous year data, of the same parameters related to growth and yield attributes under observations.
It necessarily fluctuates,
I had previously, further extended the question that,
How can we take the years as one of the factor during analysis of data.
like as we assign numerical values like
3 - if we had 3 dates of sowing/transplanting
4- if we have taken 4 varieties in the subplots
4-if the experiment is replicated 4 times
which software allow us to assign input 2 or 3 as numerical value if we have the replicated data of same experimental trial for 2 or 3 years Respectively?
I was seeking the answer for performing analysis for one of my manuscript that way,
but didn't found any relevant source/software
so had to go the traditional way of pooling and analyzing the data.
https://www.researchgate.net/post/Is_there_any_way_software_to_compare_the_same_experimental_trial_of_2_different_years_by_taking_year_as_one_of_the_factor_in_statistical_analysis
Abhilash Singh Chauhan Pooled analysis are done for different locations or time period (say 2 or more than years). While performing the pooled analysis, the time or location is taken as factor. And the analysis is done accordingly. Pooled analysis are done differently than single location or year data.
Like if someone have conducted a field trial of Rice crop during 3 consecutive year 2015, 2016 and 2017
and he wants to do the pooled analysis of say straw yield,
Then he will simply take the average/pooled mean of 3 years replicated data of the straw yield, and perform its statistical analysis.
Without considering the effect of year (time period) or taking it as one of the factor.
If you have used some different approach, would you mind to share? Ajay Singh
Actually, you can use any Stat software as along as you know what and how to analyze your data. You're right that locations and years are to be considered factors in the analysis. Perhaps, it will be location x year x plant variety.
Dindo King Donayre Thank you for your valuable suggestion. Will do the same.
I have gone through all the reply from different researchers. but I think you should go through homogeneity test of the data obtained from different location/time period.
Bibhuti Bhusan Sahoo Thank you for your useful suggestion. I came to know that Bartlett test for homogeneity of variance is quite useful.
use SPSS software for pooled analysis, consider year also as a factor
You can use any statistical package like SAS, SPSS, or SigmaPlot and you can do it simply in MS-Excel
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