000			04312pam a22005171i 4500
001			993494381602419
003			GHU
005			20260531065758.0
006			m || d |
007			cr |||||||||||
008			220214s2022 cau o 000|0|eng|d
015			_aGBC232892 _2bnb
020			_a9781071801895 (ePub ebook) : _c£21.99
020			_z9781071801888 (paperback.) : _c£22.99
035			_a(Uk)ark:/81055/vdc_100152432201.0x000001
035			_a(Uk)020497018
037			_a9781071801895 _bIngram Content Group
040			_aStDuBDS _benglish _cStDuBDS _dUk _erda _epn _dWlAbNL
042			_aukblsr
050			_aQA279 RAA
082	0	4	_a301.015195 _223
100	1		_aRaab, Marcel, _eauthor. _0http://id.loc.gov/authorities/names/nb2022015565 _1http://viaf.org/viaf/9703157583871233970006
245	1	0	_aSequence analysis / _cMarcel Raab and Emanuela Struffolino.
264		1	_aLos Angeles : _bSAGE, _c2022.
300			_a1 online resource. _c20 centimetres.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	0		_aQuantitative applications in the social sciences
505	0		_aSeries Editor’s Introduction; Acknowledgments; Preface; About the Authors; Chapter 1.
505	0		_aIntroduction; 1.1 Sequence Analysis in the Social Sciences; 1.2 Organization of the Book; 1.3 Software, Data,
505	0		_aand 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
505	0		_aIndependent 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:
505	0		_aConclusions; 8.1 Summary of Recommendations: An Extended Checklist; 8.2 Achievements, Unresolved Issues, and Ongoing Innovation; References;
506	1		_aLegal Deposit; _cOnly available on premises controlled by the deposit library and to one user at any one time; _eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK). _5WlAbNL
540			_aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. _5WlAbNL
588			_aDescription based on CIP data; resource not viewed.
650		0	_aSociology _xStatistical methods. _0http://id.loc.gov/authorities/subjects/sh85124208
650		0	_aSequential analysis. _0http://id.loc.gov/authorities/subjects/sh85120148
700	1		_aStruffolino, Emanuela, _eauthor. _0http://id.loc.gov/authorities/names/nb2022015566 _1http://viaf.org/viaf/955165628877942480008
776	0	8	_iPrint version : _z9781071801888
942			_2lcc _cBOOK _n0
981			_aLD-Ebook
999			_c407 _d407