Interpreting And Comparing Effects In Logistic Probit And Logit Regression PDF Download
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Author | : Jacques A. P. Hagenaars |
Publisher | : SAGE Publications |
Total Pages | : 174 |
Release | : 2024-01-16 |
Genre | : Social Science |
ISBN | : 1544363990 |
Download Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression Book in PDF, ePub and Kindle
Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website at: https://study.sagepub.com/researchmethods/qass/hagenaars-interpreting-effects.
Author | : Jacques A P Hagenaars |
Publisher | : Sage Publications, Incorporated |
Total Pages | : 0 |
Release | : 2024-03-05 |
Genre | : |
ISBN | : 9781544364018 |
Download Interpreting and Comparing Effects in Logistic, Probit and Logit Regression Book in PDF, ePub and Kindle
Interpreting Effects in Logistic Regression and Logit Models shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one model, (ii) between identical models estimated in different subgroups, and (iii) between nested models. Additionally, this volume presents a practical, unified treatment of comparison problems and considers the advantages and disadvantages of each approach and when to use them.
Author | : Jacques A. P. Hagenaars |
Publisher | : SAGE Publications |
Total Pages | : 205 |
Release | : 2024-02-27 |
Genre | : Political Science |
ISBN | : 1544364008 |
Download Interpreting and Comparing Effects in Logistic, Probit and Logit Regression Book in PDF, ePub and Kindle
Interpreting and Comparing Effects in Logistic, Probit and Logit Regression shows applied researchers how to compare coefficient estimates from regression models for categorical dependent variables in typical research situations. It presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them.
Author | : John H. Aldrich |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1984-11 |
Genre | : Mathematics |
ISBN | : 9780803921337 |
Download Linear Probability, Logit, and Probit Models Book in PDF, ePub and Kindle
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.
Author | : Jason W. Osborne |
Publisher | : SAGE Publications |
Total Pages | : 489 |
Release | : 2014-02-26 |
Genre | : Social Science |
ISBN | : 1483312097 |
Download Best Practices in Logistic Regression Book in PDF, ePub and Kindle
Jason W. Osborne’s Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne’s applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Author | : Tim Futing Liao |
Publisher | : SAGE |
Total Pages | : 100 |
Release | : 1994-06-30 |
Genre | : Mathematics |
ISBN | : 9780803949997 |
Download Interpreting Probability Models Book in PDF, ePub and Kindle
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.
Author | : J. Scott Long |
Publisher | : SAGE |
Total Pages | : 334 |
Release | : 1997-01-09 |
Genre | : Mathematics |
ISBN | : 9780803973749 |
Download Regression Models for Categorical and Limited Dependent Variables Book in PDF, ePub and Kindle
Evaluates the most useful models for categorical and limited dependent variables (CLDVs), emphasizing the links among models and applying common methods of derivation, interpretation, and testing. The author also explains how models relate to linear regression models whenever possible. Annotation c.
Author | : Kristian Bernt Karlson |
Publisher | : |
Total Pages | : 0 |
Release | : 2012 |
Genre | : |
ISBN | : |
Download Comparing Regression Coefficients Between Models Using Logit and Probit Book in PDF, ePub and Kindle
Logit and probit models are widely used in empirical sociological research. However, the widespread practice of comparing the coefficients of a given variable across differently specified models does not warrant the same interpretation in logits and probits as in linear regression. Unlike in linear models, the change in the coefficient of the variable of interest cannot be straightforwardly attributed to the inclusion of confounding variables. The reason for this is that the variance of the underlying latent variable is not identified and will differ between models. We refer to this as the problem of rescaling. We propose a solution that allows researchers to assess the influence of confounding relative to the influence of rescaling, and we develop a test statistic that allows researchers to assess the statistical significance of both confounding and rescaling. We also show why y-standardized coefficients and average partial effects are not suitable for comparing coefficients across models. We present examples of the application of our method using simulated data and data from the National Educational Longitudinal Survey.
Author | : Vani K. Borooah |
Publisher | : SAGE |
Total Pages | : 108 |
Release | : 2002 |
Genre | : Mathematics |
ISBN | : 9780761922421 |
Download Logit and Probit Book in PDF, ePub and Kindle
Many problems in the social sciences are amenable to analysis using the analytical tools of logit and probit models. This book explains what ordered and multinomial models are and also shows how to apply them to analysing issues in the social sciences.
Author | : Scott W. Menard |
Publisher | : SAGE |
Total Pages | : 393 |
Release | : 2010 |
Genre | : Mathematics |
ISBN | : 1412974836 |
Download Logistic Regression Book in PDF, ePub and Kindle
Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.