Intensive longitudinal methods :: an introduction to diary and experience sampling research /
A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on ind...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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New York, NY :
Guilford Press,
©2013.
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| Schriftenreihe: | Methodology in the social sciences.
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| Online-Zugang: | Volltext |
| Zusammenfassung: | A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject cha. |
| Beschreibung: | 1 online resource (xv, 256 pages) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781462506910 1462506917 9781283976305 1283976307 |
| Zugangseinschränkungen: | Access restricted to Ryerson students, faculty and staff. |
Internformat
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| 100 | 1 | |a Bolger, Niall. |0 http://id.loc.gov/authorities/names/n88117497 | |
| 245 | 1 | 0 | |a Intensive longitudinal methods : |b an introduction to diary and experience sampling research / |c Niall Bolger and Jean-Philippe Laurenceau. |
| 260 | |a New York, NY : |b Guilford Press, |c ©2013. | ||
| 300 | |a 1 online resource (xv, 256 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Methodology in the social sciences | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on April 19, 2019). | |
| 505 | 0 | |a Cover; Half Title; Series Page; Front Matter; Title Page; Copyright; Dedication; Founding Editor's Note; Preface; Acknowledgments; Contents; Chapter 1 -- Introductive to Intensive Longitudinal Methods; 1.1 What Are Intensive Longitudinal Methods?; 1.2 Applications of Intensive Longitudinal Methods; 1.3 Why Use Intensive Longitudinal Methods?; 1.4 Goals for This Book and Intended Audience; 1.5 Organization of This Book; 1.6 Recommended Readings; Chapter 2 -- Types of Intensive Longitudinal Designs; 2.1 Strengths of Intensive Longitudinal Designs; 2.2 Types of Research Questions. | |
| 505 | 8 | |a 2.3 Types of Designs and Prototypical Examples2.4 Limitations of Intensive Longitudinal Designs; 2.5 Which Intensive Longitudinal Design Is Best for You?; 2.6 Chapter Summary; 2.7 Recommended Readings; Chapter 3 -- Fundamentals of Intensive Longitudinal Data; 3.1 An Example Dataset; 3.2 between-Subjects and Within-Subjects Levels of Analysis; 3.3 Allowing for Between-Subjects Heterogeneity: Random Effects; 3.4 Taking Account of Time; 3.5 How Many Independent Units Are There in Intensive Longitudinal Datasets?; 3.6 Choosing an Appropriate Zero Point for X; 3.7 Chapter Summary. | |
| 505 | 8 | |a 3.8 Recommended ReadingsChapter 4 -- Modeling the Time Course of Continuous Outcomes; 4.1 The Time Course Dataset; 4.2 An Application of Linear Growth Curve Analysis; 4.3 Example Write-Up of Time Course Data; 4.4 Chapter Summary; 4.5 Recommended Readings; Chapter 5 -- Modeling the Within-Subject Causal Process; 5.1 Conceptualizing a Within-Subject Causal Process; 5.2 Example Causal Process Dataset; 5.3 Multilevel Causal Model Linking Daily Conflict to Intimacy; 5.4 Modeling a process with Missing Repeated Measurements; 5.5 When the Intervals between Measurements Are Unequal. | |
| 505 | 8 | |a 5.6 Example Write-Up of Causal Process Data5.7 Chapter Summary; 5.8 Recommended Readings; Chapter 6 -- Modeling Categorical Outcomes; 6.1 Exploring the Categorical Outcomes Dataset; 6.2 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples; 6.3 Implementation in SAS PROC GLIMMIX; 6.4 Implementtation in IBM SPSS GENLINMIXED; 6.5 Implementation in Mplus; 6.6 Chapter Summary; 6.7 Recommended Readings; Chapter 7 -- Psychometrics of Intensive Longitudinal Measures of Emotional States; 7.1 Basic Ideas about Random Measurement Error. | |
| 505 | 8 | |a 7.2 Making Use of Generalizability Theory7.3 Making Use of Multilevel Confirmatory Factor Analysis; 7.4 Chapter Summary; 7.5 Recommended Readings; Chapter 8 -- Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads; 8.1 Motivation for Studying the Everyday Lives of Dyads; 8.2 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads; 8.3 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads; 8.4 Example Write-Up of Dyadic Process Study Data; 8.5 Chapter Summary; 8.6 Recommended Readings. | |
| 505 | 8 | |a Chapter 9 -- Within-Subject Mediation Analysis. | |
| 520 | |a A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject cha. | ||
| 506 | |a Access restricted to Ryerson students, faculty and staff. |5 CaOTR | ||
| 650 | 0 | |a Social sciences |x Methodology. |0 http://id.loc.gov/authorities/subjects/sh85124011 | |
| 650 | 0 | |a Social sciences |x Longitudinal studies. | |
| 650 | 6 | |a Sciences sociales |x Études longitudinales. | |
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| 650 | 7 | |a Social sciences |2 fast | |
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| 650 | 7 | |a Longitudinella undersökningar. |2 sao | |
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| 655 | 7 | |a Longitudinal studies |2 fast | |
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| contents | Cover; Half Title; Series Page; Front Matter; Title Page; Copyright; Dedication; Founding Editor's Note; Preface; Acknowledgments; Contents; Chapter 1 -- Introductive to Intensive Longitudinal Methods; 1.1 What Are Intensive Longitudinal Methods?; 1.2 Applications of Intensive Longitudinal Methods; 1.3 Why Use Intensive Longitudinal Methods?; 1.4 Goals for This Book and Intended Audience; 1.5 Organization of This Book; 1.6 Recommended Readings; Chapter 2 -- Types of Intensive Longitudinal Designs; 2.1 Strengths of Intensive Longitudinal Designs; 2.2 Types of Research Questions. 2.3 Types of Designs and Prototypical Examples2.4 Limitations of Intensive Longitudinal Designs; 2.5 Which Intensive Longitudinal Design Is Best for You?; 2.6 Chapter Summary; 2.7 Recommended Readings; Chapter 3 -- Fundamentals of Intensive Longitudinal Data; 3.1 An Example Dataset; 3.2 between-Subjects and Within-Subjects Levels of Analysis; 3.3 Allowing for Between-Subjects Heterogeneity: Random Effects; 3.4 Taking Account of Time; 3.5 How Many Independent Units Are There in Intensive Longitudinal Datasets?; 3.6 Choosing an Appropriate Zero Point for X; 3.7 Chapter Summary. 3.8 Recommended ReadingsChapter 4 -- Modeling the Time Course of Continuous Outcomes; 4.1 The Time Course Dataset; 4.2 An Application of Linear Growth Curve Analysis; 4.3 Example Write-Up of Time Course Data; 4.4 Chapter Summary; 4.5 Recommended Readings; Chapter 5 -- Modeling the Within-Subject Causal Process; 5.1 Conceptualizing a Within-Subject Causal Process; 5.2 Example Causal Process Dataset; 5.3 Multilevel Causal Model Linking Daily Conflict to Intimacy; 5.4 Modeling a process with Missing Repeated Measurements; 5.5 When the Intervals between Measurements Are Unequal. 5.6 Example Write-Up of Causal Process Data5.7 Chapter Summary; 5.8 Recommended Readings; Chapter 6 -- Modeling Categorical Outcomes; 6.1 Exploring the Categorical Outcomes Dataset; 6.2 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples; 6.3 Implementation in SAS PROC GLIMMIX; 6.4 Implementtation in IBM SPSS GENLINMIXED; 6.5 Implementation in Mplus; 6.6 Chapter Summary; 6.7 Recommended Readings; Chapter 7 -- Psychometrics of Intensive Longitudinal Measures of Emotional States; 7.1 Basic Ideas about Random Measurement Error. 7.2 Making Use of Generalizability Theory7.3 Making Use of Multilevel Confirmatory Factor Analysis; 7.4 Chapter Summary; 7.5 Recommended Readings; Chapter 8 -- Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads; 8.1 Motivation for Studying the Everyday Lives of Dyads; 8.2 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads; 8.3 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads; 8.4 Example Write-Up of Dyadic Process Study Data; 8.5 Chapter Summary; 8.6 Recommended Readings. Chapter 9 -- Within-Subject Mediation Analysis. |
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Categorical Outcomes; 6.1 Exploring the Categorical Outcomes Dataset; 6.2 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples; 6.3 Implementation in SAS PROC GLIMMIX; 6.4 Implementtation in IBM SPSS GENLINMIXED; 6.5 Implementation in Mplus; 6.6 Chapter Summary; 6.7 Recommended Readings; Chapter 7 -- Psychometrics of Intensive Longitudinal Measures of Emotional States; 7.1 Basic Ideas about Random Measurement Error.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7.2 Making Use of Generalizability Theory7.3 Making Use of Multilevel Confirmatory Factor Analysis; 7.4 Chapter Summary; 7.5 Recommended Readings; Chapter 8 -- Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads; 8.1 Motivation for Studying the Everyday Lives of Dyads; 8.2 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads; 8.3 The Multilevel Model for Intensive Longitudinal Data 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| genre | Longitudinal studies fast dissertations. aat Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf |
| genre_facet | Longitudinal studies dissertations. Academic theses. Thèses et écrits académiques. |
| id | ZDB-4-EBU-ocn828029080 |
| illustrated | Illustrated |
| indexdate | 2024-11-26T14:49:08Z |
| institution | BVB |
| isbn | 9781462506910 1462506917 9781283976305 1283976307 |
| language | English |
| oclc_num | 828029080 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xv, 256 pages) : illustrations |
| psigel | ZDB-4-EBU |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Guilford Press, |
| record_format | marc |
| series | Methodology in the social sciences. |
| series2 | Methodology in the social sciences |
| spelling | Bolger, Niall. http://id.loc.gov/authorities/names/n88117497 Intensive longitudinal methods : an introduction to diary and experience sampling research / Niall Bolger and Jean-Philippe Laurenceau. New York, NY : Guilford Press, ©2013. 1 online resource (xv, 256 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Methodology in the social sciences Includes bibliographical references and index. Online resource; title from digital title page (viewed on April 19, 2019). Cover; Half Title; Series Page; Front Matter; Title Page; Copyright; Dedication; Founding Editor's Note; Preface; Acknowledgments; Contents; Chapter 1 -- Introductive to Intensive Longitudinal Methods; 1.1 What Are Intensive Longitudinal Methods?; 1.2 Applications of Intensive Longitudinal Methods; 1.3 Why Use Intensive Longitudinal Methods?; 1.4 Goals for This Book and Intended Audience; 1.5 Organization of This Book; 1.6 Recommended Readings; Chapter 2 -- Types of Intensive Longitudinal Designs; 2.1 Strengths of Intensive Longitudinal Designs; 2.2 Types of Research Questions. 2.3 Types of Designs and Prototypical Examples2.4 Limitations of Intensive Longitudinal Designs; 2.5 Which Intensive Longitudinal Design Is Best for You?; 2.6 Chapter Summary; 2.7 Recommended Readings; Chapter 3 -- Fundamentals of Intensive Longitudinal Data; 3.1 An Example Dataset; 3.2 between-Subjects and Within-Subjects Levels of Analysis; 3.3 Allowing for Between-Subjects Heterogeneity: Random Effects; 3.4 Taking Account of Time; 3.5 How Many Independent Units Are There in Intensive Longitudinal Datasets?; 3.6 Choosing an Appropriate Zero Point for X; 3.7 Chapter Summary. 3.8 Recommended ReadingsChapter 4 -- Modeling the Time Course of Continuous Outcomes; 4.1 The Time Course Dataset; 4.2 An Application of Linear Growth Curve Analysis; 4.3 Example Write-Up of Time Course Data; 4.4 Chapter Summary; 4.5 Recommended Readings; Chapter 5 -- Modeling the Within-Subject Causal Process; 5.1 Conceptualizing a Within-Subject Causal Process; 5.2 Example Causal Process Dataset; 5.3 Multilevel Causal Model Linking Daily Conflict to Intimacy; 5.4 Modeling a process with Missing Repeated Measurements; 5.5 When the Intervals between Measurements Are Unequal. 5.6 Example Write-Up of Causal Process Data5.7 Chapter Summary; 5.8 Recommended Readings; Chapter 6 -- Modeling Categorical Outcomes; 6.1 Exploring the Categorical Outcomes Dataset; 6.2 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples; 6.3 Implementation in SAS PROC GLIMMIX; 6.4 Implementtation in IBM SPSS GENLINMIXED; 6.5 Implementation in Mplus; 6.6 Chapter Summary; 6.7 Recommended Readings; Chapter 7 -- Psychometrics of Intensive Longitudinal Measures of Emotional States; 7.1 Basic Ideas about Random Measurement Error. 7.2 Making Use of Generalizability Theory7.3 Making Use of Multilevel Confirmatory Factor Analysis; 7.4 Chapter Summary; 7.5 Recommended Readings; Chapter 8 -- Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads; 8.1 Motivation for Studying the Everyday Lives of Dyads; 8.2 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads; 8.3 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads; 8.4 Example Write-Up of Dyadic Process Study Data; 8.5 Chapter Summary; 8.6 Recommended Readings. Chapter 9 -- Within-Subject Mediation Analysis. A complete, practical guide to planning and executing an intensive longitudinal study, this book provides the tools for understanding within-subject social, psychological, and physiological processes in everyday contexts. Intensive longitudinal studies involve many repeated measurements taken on individuals, dyads, or groups, and include diary and experience sampling studies. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, model within-subject cha. Access restricted to Ryerson students, faculty and staff. CaOTR Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Social sciences Longitudinal studies. Sciences sociales Études longitudinales. REFERENCE Research. bisacsh Social sciences fast Social sciences Methodology fast Longitudinella undersökningar. sao Forskningsmetodik. sao Longitudinal studies fast dissertations. aat Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf Laurenceau, Jean-Philippe. http://id.loc.gov/authorities/names/n2012053316 Print version: Bolger, Niall. Intensive longitudinal methods. New York, NY : Guilford Press, ©2013 9781462506781 (DLC) 2012032402 (OCoLC)783142666 Methodology in the social sciences. http://id.loc.gov/authorities/names/n97116200 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=530431 Volltext |
| spellingShingle | Bolger, Niall Intensive longitudinal methods : an introduction to diary and experience sampling research / Methodology in the social sciences. Cover; Half Title; Series Page; Front Matter; Title Page; Copyright; Dedication; Founding Editor's Note; Preface; Acknowledgments; Contents; Chapter 1 -- Introductive to Intensive Longitudinal Methods; 1.1 What Are Intensive Longitudinal Methods?; 1.2 Applications of Intensive Longitudinal Methods; 1.3 Why Use Intensive Longitudinal Methods?; 1.4 Goals for This Book and Intended Audience; 1.5 Organization of This Book; 1.6 Recommended Readings; Chapter 2 -- Types of Intensive Longitudinal Designs; 2.1 Strengths of Intensive Longitudinal Designs; 2.2 Types of Research Questions. 2.3 Types of Designs and Prototypical Examples2.4 Limitations of Intensive Longitudinal Designs; 2.5 Which Intensive Longitudinal Design Is Best for You?; 2.6 Chapter Summary; 2.7 Recommended Readings; Chapter 3 -- Fundamentals of Intensive Longitudinal Data; 3.1 An Example Dataset; 3.2 between-Subjects and Within-Subjects Levels of Analysis; 3.3 Allowing for Between-Subjects Heterogeneity: Random Effects; 3.4 Taking Account of Time; 3.5 How Many Independent Units Are There in Intensive Longitudinal Datasets?; 3.6 Choosing an Appropriate Zero Point for X; 3.7 Chapter Summary. 3.8 Recommended ReadingsChapter 4 -- Modeling the Time Course of Continuous Outcomes; 4.1 The Time Course Dataset; 4.2 An Application of Linear Growth Curve Analysis; 4.3 Example Write-Up of Time Course Data; 4.4 Chapter Summary; 4.5 Recommended Readings; Chapter 5 -- Modeling the Within-Subject Causal Process; 5.1 Conceptualizing a Within-Subject Causal Process; 5.2 Example Causal Process Dataset; 5.3 Multilevel Causal Model Linking Daily Conflict to Intimacy; 5.4 Modeling a process with Missing Repeated Measurements; 5.5 When the Intervals between Measurements Are Unequal. 5.6 Example Write-Up of Causal Process Data5.7 Chapter Summary; 5.8 Recommended Readings; Chapter 6 -- Modeling Categorical Outcomes; 6.1 Exploring the Categorical Outcomes Dataset; 6.2 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples; 6.3 Implementation in SAS PROC GLIMMIX; 6.4 Implementtation in IBM SPSS GENLINMIXED; 6.5 Implementation in Mplus; 6.6 Chapter Summary; 6.7 Recommended Readings; Chapter 7 -- Psychometrics of Intensive Longitudinal Measures of Emotional States; 7.1 Basic Ideas about Random Measurement Error. 7.2 Making Use of Generalizability Theory7.3 Making Use of Multilevel Confirmatory Factor Analysis; 7.4 Chapter Summary; 7.5 Recommended Readings; Chapter 8 -- Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads; 8.1 Motivation for Studying the Everyday Lives of Dyads; 8.2 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads; 8.3 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads; 8.4 Example Write-Up of Dyadic Process Study Data; 8.5 Chapter Summary; 8.6 Recommended Readings. Chapter 9 -- Within-Subject Mediation Analysis. Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Social sciences Longitudinal studies. Sciences sociales Études longitudinales. REFERENCE Research. bisacsh Social sciences fast Social sciences Methodology fast Longitudinella undersökningar. sao Forskningsmetodik. sao |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85124011 http://id.loc.gov/authorities/genreForms/gf2014026039 |
| title | Intensive longitudinal methods : an introduction to diary and experience sampling research / |
| title_auth | Intensive longitudinal methods : an introduction to diary and experience sampling research / |
| title_exact_search | Intensive longitudinal methods : an introduction to diary and experience sampling research / |
| title_full | Intensive longitudinal methods : an introduction to diary and experience sampling research / Niall Bolger and Jean-Philippe Laurenceau. |
| title_fullStr | Intensive longitudinal methods : an introduction to diary and experience sampling research / Niall Bolger and Jean-Philippe Laurenceau. |
| title_full_unstemmed | Intensive longitudinal methods : an introduction to diary and experience sampling research / Niall Bolger and Jean-Philippe Laurenceau. |
| title_short | Intensive longitudinal methods : |
| title_sort | intensive longitudinal methods an introduction to diary and experience sampling research |
| title_sub | an introduction to diary and experience sampling research / |
| topic | Social sciences Methodology. http://id.loc.gov/authorities/subjects/sh85124011 Social sciences Longitudinal studies. Sciences sociales Études longitudinales. REFERENCE Research. bisacsh Social sciences fast Social sciences Methodology fast Longitudinella undersökningar. sao Forskningsmetodik. sao |
| topic_facet | Social sciences Methodology. Social sciences Longitudinal studies. Sciences sociales Études longitudinales. REFERENCE Research. Social sciences Social sciences Methodology Longitudinella undersökningar. Forskningsmetodik. Longitudinal studies dissertations. Academic theses. Thèses et écrits académiques. |
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