Timeline for Unbalanced repeated measure design for the given data?
Current License: CC BY-SA 2.5
8 events
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| Oct 14, 2010 at 0:39 | comment | added | suncoolsu | Also, please modify your question above so that we can see the full detail. The comment space is too small for such discussions. | |
| Oct 14, 2010 at 0:17 | comment | added | suncoolsu | @Jacki, you would do this in SPSS using the mixed model options. I am sorry, but this is the end of my knowledge in SPSS (not a regular user :-( ). I can point out some good reference for R or SAS, in case you are interested. | |
| Oct 13, 2010 at 22:40 | comment | added | jacki | Thanks for you detailed answer and help! The design you made is fine. Yes I am also interested to see the differences between varieties. Do you know how to do in SPSS? | |
| Oct 13, 2010 at 17:37 | history | edited | suncoolsu | CC BY-SA 2.5 |
added 1667 characters in body
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| Oct 13, 2010 at 15:11 | comment | added | suncoolsu | @Jacki, Your experimental design looks like a special case of Split plot design, but to decide the special case, I need extra details. Can you please represent your design inform of a picture (see my update) ? Currently, I don't see how you use the varieties? Is the difference between varieties of interest or not? | |
| Oct 13, 2010 at 11:27 | comment | added | jacki | Hi all, Thanks for you answers! 1) I want check the effect of treatment(control, stress) with time (week1, week2,...,week12) and with varieties (var1,var2,...,var12). 2) difference b/w replicates is because of source available 3)Some description of data is given below: All Citrus plants were grown in pots with same soil and all condition same. Then only' Stress' labelled plants were treated with chemical 'NO3' and other plants 'Control' were untreated. Chlorophyll content (Data given) was recorded at day 1 and then each week for exactly the same plants. | |
| Oct 12, 2010 at 22:52 | history | edited | csgillespie | CC BY-SA 2.5 |
Fixed list formatting
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| Oct 12, 2010 at 22:43 | history | answered | suncoolsu | CC BY-SA 2.5 |