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Produktbild: Sequence Analysis
Band 190 - 13%

Sequence Analysis

Aus der Reihe Quantitative Applications in the Social Sciences
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39,99 € UVP 46,29 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.06.2022

Verlag

Sage Publications

Seitenzahl

194

Maße (L/B/H)

21,6/14/1,3 cm

Gewicht

281 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-07-180188-8

Beschreibung

Rezension

This book provides a comprehensive and updated introduction to sequence analysis, I highly recommend it for anyone who wants to learn the topic systematically Tim F. Liao

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

02.06.2022

Verlag

Sage Publications

Seitenzahl

194

Maße (L/B/H)

21,6/14/1,3 cm

Gewicht

281 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-07-180188-8

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE

Herstelleradresse

SAGE Publications
1 Oliver's Yard 55 City Road
EC1Y 1SP London
GB

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  • Produktbild: Sequence Analysis
  • Series Editor's Introduction
    Acknowledgments
    Preface
    About the Authors
    Chapter 1. Introduction
    1.1 Sequence Analysis in the Social Sciences
    1.2 Organization of the Book
    1.3 Software, Data, and Companion Webpage
    Chapter 2: Describing and Visualizing Sequences
    2.1 Basic Concepts and Terminology
    2.1 Basic Concepts and Terminology
    2.3 Description of Sequence Data I: The Basics
    2.4 Visualization of Sequences
    2.5 Description of Sequences II: Assessing Sequence
    Chapter 3: Comparing Sequences
    3.1 Dissimilarity Measures to Compare Sequences
    3.2 Alignment Techniques
    3.3 Alignment-Based Extensions of OM
    3.4 Nonalignment Techniques
    3.5 Comparing Dissimilarity Matrices
    3.6 Comparing Sequences of Different Length
    3.7 Beyond the Standard Full-Sample Pairwise Sequence Comparison
    Chapter 4: Identifying Groups in Data: Analyses Based On Dissimilarities Between Sequences
    4.1 Clustering Sequences to Uncover Typologies
    4.2 Illustrative Application
    4.3 "Construct Validity" for Typologies From Cluster Analysis to Sequences
    4.4 Using Typologies as Dependent and Independent Variables in a Regression Framework
    Chapter 5: Multidimensional Sequence Analysis
    5.1 Accounting for Simultaneous Temporal Processes
    5.2 Expanding the Alphabet: Combining Multiple Channels Into a Single Alphabet
    5.3 Cross-Tabulation of Groups Identified From Different Dissimilarity Matrices
    5.4 Combining Domain-Specific Dissimilarities
    5.5 Multichannel Sequence Analysis
    Chapter 6: Examining Group Differences Without Cluster Analysis
    6.1 Comparing Within-Group Discrepancies
    6.2 Measuring Associations Between Sequences and Covariates
    6.3 Statistical Implicative Analysis
    Chapter 7: Combining Sequence Analysis With Other Explanatory Methods
    7.1 The Rationale Behind the Combination of Stochastic and Algorithmic Analytical Tools
    7.2 Competing Trajectories Analysis
    7.3 Sequence Analysis Multistate Model Procedure
    7.4 Combining SA and (Propensity Score) Matching
    Chapter 8: Conclusions
    8.1 Summary of Recommendations: An Extended Checklist
    8.2 Achievements, Unresolved Issues, and Ongoing Innovation
    References