How to statistically test whether breastfeeding support influences breastfeeding initiation and duration? I would like to know which technique is appropriate for analyzing data collected via self-administered survey. Some background information follows:
Topic: Breastfeeding support and the workplace
Setting: University campus
Sample size: 30-40 working women who were on maternity leave from 2011-2012 (first 6 months)
Hypothesis: Breastfeeding support influences breastfeeding initiation and duration.
Example questions: socio and demographic items in order to describe women, Likert scale questions addressing: university policies and work culture, immediate manager support, immediate colleague support and work flow. There will be some close questions related to the intention to breastfeed.
This builds on my previous question about the sampling approach and what to treat as the unit of analysis.
I really appreciate all your help and consideration.
Best,
 A: My guess is simple regression methods will go a long way towards helping you understand your data.  Although this is not usually considered an advanced statistical topic, if you are not already sufficiently familiar with these techniques you will have a steep hill to climb.  In such a case I would suggest working with a good statistical consultant; the university probably has some.  This is especially true since @MichaelChernick's point is on target, and that it sounds like you want to make a causal inference, but will have observational data, which is, in fact, a very advanced statistical topic.  
A: You can compute average scores and draw inference about the population means based on the formula for the variance of the estimate which is f σ$^2$/n where f=1-n/N is the finite population correction N is the population size, n is the sample size and σ$^2$ is the population variance.  Sometimes questions are designed to represent certain domains and the response can be combined to get domain scores.  If that is the case inferences to the population can also be made based on those combined scores.  Cochran's classic book Sampling Techniques provides the most lucid description of the theory,  See this link:
http://www.amazon.com/Sampling-Techniques-Edition-William-Cochran/dp/047116240X/ref=sr_1_1?s=books&ie=UTF8&qid=1339472916&sr=1-1 
