Clarify

Clarify: Software for Interpreting and Presenting Statistical Results. Clarify is a program that uses Monte Carlo simulation to convert the raw output of statistical procedures into results that are of direct interest to researchers, without changing statistical assumptions or requiring new statistical models. The program, designed for use with the Stata statistics package, offers a convenient way to implement the techniques described in: Gary King, Michael Tomz, and Jason Wittenberg (2000). ”Making the Most of Statistical Analyses: Improving Interpretation and Presentation.” American Journal of Political Science 44, no. 2 (April 2000): 347-61. We recommend that you read this article before using the software. Clarify simulates quantities of interest for the most commonly used statistical models, including linear regression, binary logit, binary probit, ordered logit, ordered probit, multinomial logit, Poisson regression, negative binomial regression, weibull regression, seemingly unrelated regression equations, and the additive logistic normal model for compositional data. Clarify Version 2.1 is forthcoming (2003) in Journal of Statistical Software.

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References in zbMATH (referenced in 3 articles , 1 standard article )

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  1. Rask, Kevin: Attrition in STEM fields at a liberal arts college: the importance of grades and pre-collegiate preferences (2010) MathEduc
  2. John Fox: Effect Displays in R for Generalised Linear Models (2003) not zbMATH
  3. Michael Tomz; Jason Wittenberg; Gary King: Clarify: Software for Interpreting and Presenting Statistical Results (2003) not zbMATH