The DHS Program User Forum
Discussions regarding The DHS Program data and results
Home » Data » Dataset use in SPSS » Trend analysis of dichotomous categorical outcome variable on spss
Trend analysis of dichotomous categorical outcome variable on spss [message #8847] Sat, 02 January 2016 08:16 Go to next message
signori is currently offline  signori
Messages: 4
Registered: January 2016
Member
Happy new year!!!
I am relatively new to this forum and also a relative novice with regards to data analysis and only familiar with spss.
I am currently working on a dissertation on trend analysis of undernutrition in Nigeria over a 10 year period using ndhs datasets. Having prepared my data for analysis, I am a bit stuck with regards on how to proceed with both a chi square and a logistic regression for trend on the complex survey module of spss. I would be very grateful for any useful guidance offered.
Thank you.

Ikenna Onoh.

Report message to a moderator

Re: Trend analysis of dichotomous categorical outcome variable on spss [message #8901 is a reply to message #8847] Tue, 12 January 2016 12:27 Go to previous message
Trevor-DHS is currently offline  Trevor-DHS
Messages: 746
Registered: January 2013
Senior Member
SPSS provides some help on using chi-square with complex samples at http://www-01.ibm.com/support/docview.wss?uid=swg21478586.
For complex samples logistic regression, see: http://www-01.ibm.com/support/knowledgecenter/SSLVMB_20.0.0/ com.ibm.spss.statistics.help/idh_idd_cslr_main.htm

Report message to a moderator

Previous Topic: USING SPSS for Maternal Mortality-Dominican Republic
Next Topic: Missing data is coded?
Goto Forum:
  

[ Syndicate this forum (XML) ] [ RSS ] [ PDF ]

Current Time: Wed May 12 10:09:12 Coordinated Universal Time 2021
.:: Contact :: Home :: Privacy Policy ::.

Powered by: FUDforum 3.0.9.
Copyright ©2001-2018 FUDforum Bulletin Board Software

The information provided on this Web site is not official U.S. Government information and
does not represent the views or positions of the U.S. Agency for International Development or the U.S. Government.