Re: Data analysis
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Greetings, I have some data set which I need help on. I am not sure of the best analysis to perform. I have some information about farmers which include (their age, gender, education level, whether he is a member or not a member of a farmers organisation, their number in the household, their total income, the number of livestock they own). I would like to believe that these are independent variables. I would like to find out how these kind of farmers respond to a drought. They responded by giving five different strategies. I would therefore want to check which kind of farmers buy additional feed, or sell excess animals, or migrate to other areas. I suppose these are dependent variables. I have tried cross-tabulations, which I think are not robust enough. I am not sure whether to do a classification analysis. I would be grateful for any suggestions. Regards BM |
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In reply to this post by bmnice
Bethwell You can actually do quite a lot with crosstabs, but without more information, I’m not sure what help you’ll get from the list members. How big is your sample? How are your variables coded? How many categories are there in your independent and dependent variables? The list does not accept attachments, but if you send me (off-list and in complete confidence) a copy of, or extract from, your SPSS Data Editor, together with your questionnaire and coding scheme, I should be able to give you some specific advice and assistance. John F Hall (Mr) [retired academic survey researcher] Email: [hidden email] Website: www.surveyresearch.weebly.com From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Bethwell Moyo Greetings, I have some data set which I need help on. I am not sure of the best analysis to perform. I have some information about farmers which include (their age, gender, education level, whether he is a member or not a member of a farmers organisation, their number in the household, their total income, the number of livestock they own). I would like to believe that these are independent variables. I would like to find out how these kind of farmers respond to a drought. They responded by giving five different strategies. I would therefore want to check which kind of farmers buy additional feed, or sell excess animals, or migrate to other areas. I suppose these are dependent variables. I have tried cross-tabulations, which I think are not robust enough. I am not sure whether to do a classification analysis. I would be grateful for any suggestions. Regards BM |
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"The list does not accept attachments".
Actually if you access it through Nabble then it does! This Thread: http://spssx-discussion.1045642.n5.nabble.com/Re-Data-analysis-td5717559.html I don't tend to give out specific free stats info but if you have the background to interpret it consider exploring logistic regression or related methods.
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In reply to this post by bmnice
Note that the dependent variables you list (e.g., buying additional feed, selling excess animals, migrating to other areas) are not mutually exclusive of each other. How do you plan on dealing with that?
What is the sample size?
--
Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/ "When all else fails, RTFM." PLEASE NOTE THE FOLLOWING: 1. My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above. 2. The SPSSX Discussion forum on Nabble is no longer linked to the SPSSX-L listserv administered by UGA (https://listserv.uga.edu/). |
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Indeed! I was thinking the same thing. In fact one might find
interesting sequential patterns in such: For example first effort might be to buy more feed. When that get's tough sell some animals. Finally when that goes south, get the hell out of Dodge! I would try to find a way to categorize the combinations of responses into some sort of ordinal (potentially interval scaled) single outcome and then regress that onto the predictors. On Tue, Jan 22, 2013 at 7:15 AM, Bruce Weaver [via SPSSX Discussion] <[hidden email]> wrote: > Note that the dependent variables you list (e.g., buying additional feed, > selling excess animals, migrating to other areas) are not mutually exclusive > of each other. How do you plan on dealing with that? > > What is the sample size? > > > bmnice wrote > Greetings, > > I have some data set which I need help on. I am not sure of the best > analysis to perform. I have some information about farmers which > include(their age, gender, education level, whether he is a member or not a > member of a farmers organisation, their number in the household, their total > income, the number of livestock they own). I would like to believe that > these are independent variables. I would like to find out how these kind of > farmers respond to a drought. They responded by giving five different > strategies. I would therefore want to check which kind of farmers buy > additional feed, or sell excess animals, or migrate to other areas. I > suppose these are dependent variables. I have tried cross-tabulations, which > I think are not robust enough. I am not sure whether to do a classification > analysis. > I would be grateful for any suggestions. > > Regards > BM > > -- > Bruce Weaver > [hidden email] > http://sites.google.com/a/lakeheadu.ca/bweaver/ > > "When all else fails, RTFM." > > NOTE: My Hotmail account is not monitored regularly. > To send me an e-mail, please use the address shown above. > > > ________________________________ > If you reply to this email, your message will be added to the discussion > below: > http://spssx-discussion.1045642.n5.nabble.com/Re-Data-analysis-tp5717559p5717567.html > To unsubscribe from Re: Data analysis, click here. > NAML
Please reply to the list and not to my personal email.
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