Sequence analysis /
Raab, Marcel,
Sequence analysis / Marcel Raab and Emanuela Struffolino. - 1 online resource. 20 centimetres. - Quantitative applications in the social sciences .
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;
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time;
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
9781071801895 (ePub ebook) : £21.99 £22.99
9781071801895 Ingram Content Group
GBC232892 bnb
Sociology--Statistical methods.
Sequential analysis.
QA279 RAA
301.015195
Sequence analysis / Marcel Raab and Emanuela Struffolino. - 1 online resource. 20 centimetres. - Quantitative applications in the social sciences .
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;
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time;
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
9781071801895 (ePub ebook) : £21.99 £22.99
9781071801895 Ingram Content Group
GBC232892 bnb
Sociology--Statistical methods.
Sequential analysis.
QA279 RAA
301.015195