Handbook of Developmental Research Methods
eBook - PDF

Handbook of Developmental Research Methods

  1. 788 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Handbook of Developmental Research Methods

About this book

Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

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Yes, you can access Handbook of Developmental Research Methods by Brett Laursen,Todd D. Little,Noel A. Card, Brett Laursen, Todd D. Little, Noel A. Card in PDF and/or ePUB format, as well as other popular books in Social Sciences & Research in Education. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Contents
  4. Part I--Measurement and Design
  5. Chapter 1--Foundational Issues of Design and Measurement in Developmental Research
  6. Chapter 2--Causal Inference, Identification, and Plausibility
  7. Chapter 3--Accelerated Longitudinal Designs
  8. Chapter 4--Time-Scale-Dependent Longitudinal Designs
  9. Chapter 5--Event Frequency Measurement
  10. Chapter 6--The Impact of Scaling and Measurement Methods on Individual Differences in Growth
  11. Chapter 7--Investigating Factorial Invariance in Longitudinal Data
  12. Part II--Approaches to Data Collection
  13. Chapter 8--Foundational Issues in Longitudinal Data Collection
  14. Chapter 9--The Use of Large-Scale Data Sets for the Study of Developmental Science
  15. Chapter 10--Telemetrics and Online Data Collection
  16. Chapter 11--Collecting and Analyzing Longitudinal Diary Data
  17. Chapter 12--Retrospective Methods in Developmental Science
  18. Chapter 13--Peer Ratings
  19. Part III--Interindividual Longitudinal Analysis
  20. Chapter 14--Foundational Issues in Investigating Development as Interindividual Variation
  21. Chapter 15--Analysis of Experimental and Quasi-Experimental Data
  22. Chapter 16--Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data
  23. Chapter 17--Analyzing Change between Two or More Groups
  24. Chapter 18--Mediation Models for Developmental Data
  25. Part IV--Intraindividual Longitudinal Analysis
  26. Chapter 19--Foundational Issues in Intraindividual Longitudinal Analysis
  27. Chapter 20--Dynamic Factor Analysis and Control of Developmental Processes
  28. Chapter 21--P-Technique Factor Analysis
  29. Chapter 22--Hazard, Event History, and Survival Modeling
  30. Part V--Combining Interindividual and Intraindividual Longitudinal Analysis
  31. Chapter 23--Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories
  32. Chapter 24--Growth Curve Modeling from a Structural Equation Modeling Perspective
  33. Chapter 25--Growth Curve Modeling from a Multilevel Model Perspective
  34. Chapter 26--Nonlinear Growth Modeling
  35. Chapter 27--Group-Based Trajectory Modeling in Developmental Science
  36. Chapter 28--Longitudinal Mixture Models and the Identification of Archetypes
  37. Chapter 29--Multilevel Structural Equation Modeling
  38. Part VI--Nonindependent Data Analysis
  39. Chapter 30--Foundational Issues in Nonindependent Data Analysis
  40. Chapter 31--Dyadic Data Analyses in a Developmental Context
  41. Chapter 32--Applying the Social Relations Model to Developmental Research
  42. Chapter 33--Analysis of Static Social Networks and Their Developmental Effects
  43. Chapter 34--Actor-Based Model for Network and Behavior Dynamics
  44. Part VII--Special Topics in Data Analysis
  45. Chapter 35--Configural Frequency Analysis in Developmental Research
  46. Chapter 36--Cluster Analysis and Latent Class Clustering Techniques
  47. Chapter 37--Meta-Analysis in Developmental Science
  48. Chapter 38--Evaluating Geneā€“Environment Interplay
  49. Chapter 39--Epidemic Models of the Onset of Social Activities
  50. Chapter 40--Dynamic Systems
  51. Chapter 41--Planned Missing Data Designs for Developmental Research
  52. Author Index
  53. Subject Index
  54. About the Editors
  55. Contributors