Learn about logistic regression in R with data from the National Household Education Surveys Program, School Readiness Survey (2007) / The Odum Institute
1 online resource : illustrations (black and white, and colour)
Summary
This work introduces readers to logistic regression, often simply called logit. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The logit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2007 School Readiness Survey conducted as part of the National Household Education Surveys program operated by the National Center for Education Statistics in the United States Department of Education. It looks specifically at whether or not young children know all or most of the letters of the alphabet and if that is predicted by their TV viewing, their age, and whether their parents read to them. An analysis like this allows researchers to consider policies or other programs that might stimulate early childhood development
Audience
Specialized
Notes
Description based on online resource; title from home page (viewed on May 18, 2015)
