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Learn about probit in R with data from the American National Election Study (2012) / The Odum Institute.

Medverkande: Materialtyp: TextUtgivningsuppgift: London : SAGE Publications, 2016Beskrivning: 1 online resource : illustrations (colour)Innehållstyp:
  • text
  • still image
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9781473962378 (online resource) :
Ämnen: DDK-klassifikation:
  • 001.422 23
Onlineresurser: This dataset example introduces the probit regression model. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The probit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2012 American National Election Study. It presents an analysis of whether survey respondents reported voting for Barack Obama or Mitt Romney for U.S. President in 2012 and whether that vote choice can be predicted by several factors, including a respondent's race/ethnicity and how they feel about the Democratic and Republican Parties. An analysis like this allows researchers to test theories regarding what types of factor predict voting behaviour.
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Includes bibliographical references.

This dataset example introduces the probit regression model. This technique allows researchers to evaluate whether a dichotomous dependent variable is a function of one or more independent variables. The probit model is most commonly estimated via maximum likelihood estimation (MLE). This example uses a subset of data from the 2012 American National Election Study. It presents an analysis of whether survey respondents reported voting for Barack Obama or Mitt Romney for U.S. President in 2012 and whether that vote choice can be predicted by several factors, including a respondent's race/ethnicity and how they feel about the Democratic and Republican Parties. An analysis like this allows researchers to test theories regarding what types of factor predict voting behaviour.

Specialized.

Description based on online resource; title from home page (viewed on January 8, 2016).

Licensed e-book