Interpreting Probability Models: Logit, Probit, And Other Generalized Linear Models (quantitative Applications In The Social Sciences) [CHM]

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E-Book Overview

What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic way of interpreting commonly used probability models. Since much of what social scientists study is measured in noncontinuous ways and, therefore, cannot be analyzed using a classical regression model, it becomes necessary to model the likelihood that an event will occur. This book explores these models first by reviewing each probability model and then by presenting a systematic way for interpreting the results from each.

E-Book Information

  • Year: 1,994

  • Edition: 1

  • Pages: 88

  • Language: English

  • Issue: до 2011-08

  • Identifier: 0803949995,9780803949997

  • Ddc: 519.5/38

  • Lcc: QA279 .L52 1994

  • Paginated: 1

  • Org File Size: 270,926

  • Extension: chm

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