Last edited by Nikorisar
Thursday, May 7, 2020 | History

4 edition of Understanding log-linear analysis with ILOG found in the catalog.

Understanding log-linear analysis with ILOG

an interactive approach

by Roger Bakeman

  • 76 Want to read
  • 17 Currently reading

Published by L. Erlbaum in Hillsdale, N.J .
Written in English

    Subjects:
  • ILOG.,
  • Log-linear models -- Data processing.

  • Edition Notes

    StatementRoger Bakeman, Byron F. Robinson.
    ContributionsRobinson, Byron F.
    Classifications
    LC ClassificationsQA278 .B34 1994
    The Physical Object
    Paginationxii, 139 p. :
    Number of Pages139
    ID Numbers
    Open LibraryOL1433596M
    ISBN 100805812393
    LC Control Number93045405

    He is author, with John M. Gottman, of Observing Interaction: An Introduction to Sequential Analysis; with Vicen Quera, of Analyzing Interaction: Sequential Analysis with SDIS and GSEQ; and with Byron F. Robinson, of Understanding Statistics in the Behavioral Sciences and . The book is rich with examples of coding schemes and different approaches to sequential analysis, including both statistical and graphical means. Understanding log-linear analysis with ILOG: An interactive approach. Hillsdale, NJ: Erlbaum. Old books: English and Spanish Versions.

    Log-Linear Modeling is an excellent book for courses on categorical data analysis at the upper-undergraduate and graduate levels. It also serves as an excellent reference for applied researchers in virtually any area of study, from medicine and statistics to the social sciences, who analyze empirical data in their everyday work. Session 7: Log-Linear Models The analysis of multi-way contingency tables is based on log-linear models. In order to develop this theory, consider the simpler situation of a two-way tables as produced by a cross-tabulation of SEX by LIFE (GSS91 data). Respondent's Sex * Is Life Exciting or Dull Crosstabulation 12

    A monograph on log-linear analysis and logit regression in quantitative research. Log-linear Analysis Table of Contents Overview 8 Key Concepts and Terms 10 Types of log-linear analysis 10 General log-linear analysis 10 Hierarchical log-linear analysis 11 Types of variables 11 Factors 12 Covariates 12 Cell structure variables/cell weight variables 12 Contrast variables 12 Types of models Bakeman, R. Robinson, B. F. Understanding log-linear analysis with ILOG: An interactive approach Hillsdale, NJ Lawrence Erlbaum Associates Bakeman, R. Robinson, B. F. Understanding statistics in the behavioral sciences Mahwah, NJ Lawrence Erlbaum Associates.


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Understanding log-linear analysis with ILOG by Roger Bakeman Download PDF EPUB FB2

Until recently, however, log-linear analysis seemed difficult -- accessible only to the statistically motivated and savvy. Designed for students and researchers who want to know more about this extension of the two-dimensional chi-square, this book introduces basic ideas in clear and straightforward prose and applies them to a core of example Cited by: Understanding Log-linear Analysis With Ilog: An Interactive Approach - Kindle edition by Bakeman, Roger, Robinson, Byron F.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Understanding Log-linear Analysis With Ilog: An Interactive cturer: Psychology Press. Read "Understanding Log-linear Analysis With Ilog An Interactive Approach" by Roger Bakeman available from Rakuten Kobo.

Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is ap Understanding log-linear analysis with ILOG book Taylor And Francis. : Understanding Log-linear Analysis With Ilog: An Interactive Approach (): Bakeman, Roger, Robinson, Byron F.: BooksCited by: Book Description.

Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate.

Like analysis of variance and multiple regression for quantitative data, log-linear analysis lets users ask which main effects and interactions affect an outcome of interest.

This interactive program lets readers work through and explore examples provided throughout the book. Because ILOG is capable of serious log-linear analyses, readers gain not only understanding, but the means to put that understanding into practice as well.

Understanding log-linear analysis with ILOG: an interactive approach. [Roger Bakeman; Byron F Robinson] Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate.

This text introduces basic ideas and applies them to example. Get this from a library. Understanding Log-linear Analysis With Ilog: an Interactive Approach. [Roger Bakeman; Byron F Robinson] -- Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is appropriate.

Like analysis of variance and multiple regression for quantitative. Until recently, however, log-linear analysis seemed difficult -- accessible only to the statistically motivated and savvy. Designed for students and researchers who want to know more about this extension of the two-dimensional chi-square, this book introduces basic ideas in clear and straightforward prose and applies them to a core of example Author: Roger Bakeman, Byron F.

Robinson. Up to 90% off Textbooks at Amazon Canada. Plus, free two-day shipping for six months when you sign up for Amazon Prime for Students. Lee "Understanding Log-linear Analysis With Ilog An Interactive Approach" por Roger Bakeman disponible en Rakuten Kobo. Whenever data are categorical and their frequencies can be arrayed in multidimensional tables, log-linear analysis is ap Brand: Taylor And Francis.

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This interactive program lets readers work through and explore examples provided throughout the book. Because ILOG is capable of serious log-linear analyses, readers gain not only understanding, but the means to put that understanding into.

This interactive program lets readers work through and explore examples provided throughout the book. Because ILOG is capable of serious log-linear analyses, readers gain not only understanding, but the means to put that understanding into practice as well.

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