Hey, I want to run a binary logistic regression to model the presence or absense of conflict (dependent variable) from a set of independent variables over a 10 year period (1997-2006), with each year having 107 observations. My independents are: land degradation (catagorical for 2 types of degrataion); population increase (0- no; 1-yes); livelihood type (0 - type one; 1 - type two); population density (three levels of density); NDVI continuous (max. veg productivity); NDVIt-1 (decline in veg from the previous year - 0 - no; 1 -yes) and NDVIt-2 (decline in veg from two years past - 0- no; 1- yes). I am fairly new to it all - this is a project my lecturer has given me - and so I would REALLY love some advice or guidence. I've been pulling my hair out for a while and have finally swallowed some pride to post on the forum. I can email you the Excel spreadsheet if you are willing to help out! Thanks in advance!
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"and so I would REALLY love some advice or guidance. "
First steps would be to acquire a book or monograph on Logistic Regression (or Google Logistic Regression) and puzzle over it for some time. Difficult for anyone to provide general guidance without knowing the specific reasons for your hair loss. If you have specific questions then you will undoubtedly receive considerable assistance from others. OTOH, this sounds like a homework assignment and a request for others to do your work and thinking for you. One question which lurks in my mind is "What are the observations?" If they are repeated measurements of the same 'object/entity/parcel?' then you have a more serious problem due to the observations not being independent and you will need to deal with issues of autocorrelation etc in some fashion. ---
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Last week I updated my binary and multinomial logistic page at
http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm and it might give a little guidance. It has SPSS and SAS examples. Dave Garson On 3/1/2012 12:37 PM, David Marso wrote: > "and so I would REALLY love some advice or guidance." > First steps would be to acquire a book or monograph on Logistic Regression > (or Google Logistic Regression) and puzzle over it for some time. Difficult > for anyone to provide general guidance without knowing the specific reasons > for your hair loss. If you have specific questions then you will > undoubtedly receive considerable assistance from others. OTOH, this sounds > like a homework assignment and a request for others to do your work and > thinking for you. > One question which lurks in my mind is "What are the observations?" If they > are repeated measurements of the same 'object/entity/parcel?' then you have > a more serious problem due to the observations not being independent and you > will need to deal with issues of autocorrelation etc in some fashion. > --- > > sdh23 wrote >> Hey, I want to run a binary logistic regression to model the presence or >> absense of conflict (dependent variable) from a set of independent >> variables over a 10 year period (1997-2006), with each year having 107 >> observations. My independents are: land degradation (catagorical for 2 >> types of degrataion); population increase (0- no; 1-yes); livelihood type >> (0 - type one; 1 - type two); population density (three levels of >> density); NDVI continuous (max. veg productivity); NDVIt-1 (decline in veg >> from the previous year - 0 - no; 1 -yes) and NDVIt-2 (decline in veg from >> two years past - 0- no; 1- yes). I am fairly new to it all - this is a >> project my lecturer has given me - and so I would REALLY love some advice >> or guidence. I've been pulling my hair out for a while and have finally >> swallowed some pride to post on the forum. I can email you the Excel >> spreadsheet if you are willing to help out! Thanks in advance! >> Stephen >> > > -- > View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Can-someone-help-me-with-logistic-regression-I-m-really-stuck-tp5528346p5528600.html > Sent from the SPSSX Discussion mailing list archive at Nabble.com. > > ===================== > To manage your subscription to SPSSX-L, send a message to > [hidden email] (not to SPSSX-L), with no body text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the command > INFO REFCARD -- _________________________________________________________ G. David Garson Editor, Social Science Computer Review School of Public and International Affairs North Carolina State University, Campus Box #8102 Raleigh, NC 27695-8102 For Fedex and other express mail add: 212 Caldwell Hall, Hillsborough Street Tel. 1-919-616-2273 Fax: 1-919-515-7333 Email [hidden email] ________________________________________________________ ===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD |
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