| 000 | 01095camuu2200301 a 4500 | |
| 001 | 000045775217 | |
| 005 | 20131119092850 | |
| 008 | 131115s2013 nyua b 001 eng | |
| 010 | ▼a 2012032402 | |
| 020 | ▼a 9781462506781 (hbk. : alk. paper) | |
| 035 | ▼a (KERIS)REF000016908352 | |
| 040 | ▼a DLC ▼c DLC ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a H61 ▼b .B62165 2013 |
| 082 | 0 0 | ▼a 001.4/33 ▼2 23 |
| 084 | ▼a 001.433 ▼2 DDCK | |
| 090 | ▼a 001.433 ▼b B688i | |
| 100 | 1 | ▼a Bolger, Niall. |
| 245 | 1 0 | ▼a Intensive longitudinal methods : ▼b an introduction to diary and experience sampling research / ▼c Niall Bolger ; Jean-Philippe Laurenceau. |
| 260 | ▼a New York, NY : ▼b Guilford Press, ▼c c2013. | |
| 300 | ▼a 256 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a Methodology in the social sciences |
| 504 | ▼a Includes bibliographical references and indexes. | |
| 650 | 0 | ▼a Social sciences ▼x Methodology. |
| 650 | 0 | ▼a Social sciences ▼x Longitudinal methods. |
| 700 | 1 | ▼a Laurenceau, Jean-Philippe. |
| 830 | 0 | ▼a Methodology in the social sciences. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.433 B688i | 등록번호 111706958 (15회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. 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, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, 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 (www.intensivelongitudinal.com).
This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. 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, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, 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 (www.intensivelongitudinal.com).
정보제공 :
목차
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 Chapter Overview
2.2 Strengths of Intensive Longitudinal Designs
2.3 Types of Research Questions
2.4 Types of Designs and Prototypical Examples
2.5 Limitations of Intensive Longitudinal Designs
2.6 Which Intensive Longitudinal Design Is Best for You?
2.7 Chapter Summary
2.8 Recommended Readings
3. Fundamentals of Intensive Longitudinal Data
3.1 Chapter Overview
3.2 An Example Dataset
3.3 Between-Subjects and Within-Subjects Levels of Analysis
3.4 Allowing for Between-Subjects Heterogeneity: Random Effects
3.5 Taking Account of Time
3.6 How Many Independent Units Are There in Intensive Longitudinal Datasets?
3.7 Choosing an Appropriate Zero Point For X
3.8 Chapter Summary
3.9 Recommended Readings
4. Modeling the Time Course of Continuous Outcomes
4.1 Chapter Overview
4.2 The Example Intervention Dataset
4.3 An Application of Linear Growth Curve Analysis
4.4 Example Write-Up of Intervention Study Data
4.5 Chapter Summary
4.6 Recommended Readings
5. Modeling the Within-Subject Causal Process
5.1 Chapter Overview
5.2 Conceptualizing a Within-Subject Causal Process
5.3 Example Daily Conflict and Intimacy Dataset
5.4 Multilevel Causal Model Linking Daily Conflict and Intimacy
5.5 Modeling a Process with Missing Repeated Measures Data
5.6 When the Intervals between Measurements Are Unequal
5.7 Example Write-Up of Daily Conflict Study Data
5.8 Chapter Summary
5.9 Recommended Readings
6. Modeling Categorical Outcomes
6.1 Chapter Overview
6.2 Exploring the Example Dataset
6.3 A Longitudinal Multilevel Model Linking Morning Anger to the Incidence of Daily Conflict in Couples
6.4 Implementation in SAS PROC GLIMMIX
6.5 Implementation in IBM SPSS GENLINMIXED
6.6 Implementation in Mplus
6.7 Chapter Summary
6.8 Recommended Readings
7. Psychometrics of Intensive Longitudinal Measures of Emotional States
7.1 Chapter Overview
7.2 Basic Ideas about Random Measurement Error
7.3 Making Use of Generalizability Theory
7.4 Making Use of Multilevel Confirmatory Factor Analysis
7.5 Chapter Summary
7.6 Recommended Readings
8. Design and Analysis of Intensive Longitudinal Studies of Distinguishable Dyads
8.1 Chapter Overview
8.2 Motivation for Studying the Everyday Lives of Dyads
8.3 Methodological and Design Issues in Intensive Longitudinal Studies of Distinguishable Dyads
8.4 The Multilevel Model for Intensive Longitudinal Data from Distinguishable Dyads
8.5 Example Write-Up of Dyadic Study Data
8.6 Chapter Summary
8.7 Recommended Readings
9. Within-Subject Mediation Analysis
9.1 Chapter Overview
9.2 Single-Level Mediation to Multilevel Mediation
9.3 Empirical Example
9.4 Implementing Within-Subject Mediation in Statistical Software
9.5 Interpretation of Results
9.6 Chapter Summary
9.7 Recommended Readings
10. Statistical Power for Intensive Longitudinal Designs
10.1 Chapter Overview
10.2 Approaches to Power
10.3 Power in Multilevel Models
10.4 Power for the Marital Therapy and Intimacy Example
10.5 Power for the Daily Conflicts and Intimacy Example
10.6 Power Analysis for the Daily Conflict Categorical Outcomes Example
10.7 Power for the Dyadic Process Example
10.8 Power for the Within-Subject Multilevel Mediation Example
10.9 Chapter Summary
10.10 Recommended Readings
정보제공 :