Interpreting Comparing Effects Logistic by Hagenaars Jacques (14 results)
Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
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Paperback. Condition: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
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Condition: New. 1st edition NO-PA16APR2015-KAP.
Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
Seller: Majestic Books, Hounslow, , United KingdomMajestic Books
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P./ Kuhnel, Steffen/ Andress, Hans-Jurgen
- Softcover
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 181 pages. 8.25x5.50x0.50 inches. In Stock.
Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression | Jacques A. P. A. P. Hagenaars (u. a.) | Taschenbuch | Quantitative Applications in the Social Sciences | Englisch | 2024 | SAGE Publications, Inc | EAN 9781544364018 | Verantwortliche Person für die EU: Zeitfracht Medien G…mbH, Ferdinand-Jühlke-Str. 7, 99095 Erfurt, produktsicherheit[at]zeitfracht[dot]de | Anbieter: preigu.
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 cat…egorical 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. 204 pp. Englisch.
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 categor…ical 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. 204 pp. Englisch.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 categori…cal 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.
