As you know when experiments are replicated over time and location, they are named “combined experiments”. The analysis of combined experiments is somewhat different from the other simple experiments and sometimes are treated a split-plot experiment in time or space. What I do know is that the F-ratios are calculated differently (see McIntosh, 1983; Moore and Dixon, 2015). Is there anyone who is familiar with the way of analyzing data for this type of experiments using a mixed model in Minitab and SPSS? I setup an experiment with four tillage systems as fixed factor and three sampling years as random factor, and was not able to calculate the correct ANOVA (F values) according to McIntosh (1983) and Moore and Dixon ( 2015). Any help is highly appreciated.
Fayez,
Great question. I like Combined Experiments as they take advantage of two knowledge sets and synergistically contribute more knowledge than the two datasets separated.
I recent published a paper of a combined experiment wherein I measured how different ethnicities interact and perceive wildlife and their natural environment. I was able to show that Hispanic and Non-Hispanic White communities perceive wildlife differently, but not as an artifact of interpreting my survey instrument in culturally-divergent ways.
It should be clear how the analysis was done from the methods section. Though done in R, it should be easy for you to replicate in SPSS with the AMOS add-in.
Article Measurement of Wildlife Value Orientations Among Diverse Aud...
This is also called meta-analysis and you will find a lot about that in the statistical literature. See also the recent paper by A. Kopp-Schneider
http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300123/abstract
Dear Fayez
Your data can be analyzed using mixed model repeated measured ANOVA.
This test can be performed using any software such as SPSS, Minitab, STATA, GraphPad and etc.
If you need any help, Please dont hesitate to contact me.
BR
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