MARC Record from harvard_bibliographic_metadata

LEADER: 06091cam a22004454a 4500
001 013894153-X
005 20140106090824.0
008 120816s2013 nyua b 001 0 eng
010 $a 2012032402
015 $aGBB284968$2bnb
016 7 $a016156453$2Uk
020 $a9781462506781 (hbk. : alk. paper)
020 $a146250678X (hbk. : alk. paper)
020 $a9781462506910 (ebook)
035 0 $aocn783142666
040 $aDLC$beng$cDLC$dBTCTA$dBDX$dYDXCP$dIG#$dCDX$dSTF$dOCLCO$dUPM$dNLGGC$dMUU$dUKMGB
042 $apcc
050 00 $aH61$b.B62165 2013
082 00 $a001.4/33$223
084 $a70.03$2bcl
100 1 $aBolger, Niall.
245 10 $aIntensive longitudinal methods :$ban introduction to diary and experience sampling research /$cNiall Bolger ; Jean-Philippe Laurenceau.
260 $aNew York, NY :$bGuilford Press,$cc2013.
300 $a256 p. :$bill. ;$c24 cm.
490 1 $aMethodology in the social sciences
504 $aIncludes bibliographical references and indexes.
505 0 $aMachine generated contents note: 1.Introduction 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 -- 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 Examples -- 2.4.Limitations of Intensive Longitudinal Designs -- 2.5.Which Intensive Longitudinal Design Is Best for You? -- 2.6.Chapter Summary -- 2.7.Recommended Readings -- 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 --
505 0 $a3.5.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 Readings -- 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 -- Appendix To Chapter 4 -- 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 Data -- 5.7.Chapter Summary -- 5.8.Recommended Readings -- Appendix To Chapter 5 -- 6.Modeling Categorical Outcomes -- 6.1.Exploring the Categorical Outcomes Dataset --
505 0 $a6.2.A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples -- 6.3.Implementation in SAS PROC GLIMMIX -- 6.4.Implementation in IBM SPSS GENLINMIXED -- 6.5.Implementation in Mplus -- 6.6.Chapter Summary -- 6.7.Recommended Readings -- Appendix To Chapter 6 -- 7.Psychometrics of Intensive Longitudinal Measures of Emotional States -- 7.1.Basic Ideas about Random Measurement Error -- 7.2.Making Use of Generalizability Theory -- 7.3.Making Use of Multilevel Confirmatory Factor Analysis -- 7.4.Chapter Summary -- 7.5.Recommended Readings -- 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 --
505 0 $a8.6.Recommended Readings -- Appendix To Chapter 8 -- 9.Within-Subject Mediation Analysis -- 9.1.Single-Level Mediation to Multilevel Mediation -- 9.2.Empirical Example -- 9.3.Implementing Within-Subject Mediation in Statistical Software -- 9.4.Interpretation of Results -- 9.5.Chapter Summary -- 9.6.Recommended Readings -- 10.Statistical Power for Intensive Longitudinal Designs -- 10.1.Approaches to Power -- 10.2.Power in Multilevel Models -- 10.3.Power for the Time Course Example -- 10.4.Power for the Causal Process Example -- 10.5.Power for the Categorical Outcomes Example -- 10.6.Power for the Dyadic Process Example -- 10.7.Power for the Within-Subject Mediation Example -- 10.8.Chapter Summary -- 10.9.Recommended Readings.
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 change processes for continuous and categorical outcomes, distinguish within-subject from between-subjects effects, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website."--Publisher's website.
650 0 $aSocial sciences$xMethodology.
650 0 $aSocial sciences$xLongitudinal methods.
700 1 $aLaurenceau, Jean-Philippe.
776 0 $tIntensive longitudinal methods$w(NL-LeOCL)35683039X
830 0 $aMethodology in the social sciences.
899 $a415_565948
988 $a20140106
049 $aHLSS
906 $0DLC