Book contents
- The Cambridge Encyclopedia of Child Development
- Child Development
- Copyright page
- Dedication
- Contents
- Contributors
- Editorial preface
- Foreword
- Acknowledgments: External Reviewers
- Introduction Study of child development: an interdisciplinary enterprise
- Part I Theories of development
- Part II Methods in child development research
- Biomechanics
- Cross-cultural comparisons
- Cross-species comparisons
- Developmental testing
- Experimental methods
- Eye tracking
- Fetal and neonatal magnetoencephalography
- Fetal ultrasonography
- Head-mounted eye tracking
- Interviewing children for research
- Magnetic resonance imaging (MRI)
- Functional near-infrared spectroscopy
- Direct observational methods
- Parent and teacher rating scales
- Qualitative methods
- Self-reports and peer ratings
- Epidemiological designs
- Longitudinal and cross-sectional designs
- Twin and related designs
- Bayesian data analysis
- Connectionist modeling
- Individual and group differences in developmental functions
- Indicators of accuracy for screening tests
- Multilevel modeling
- Structural equation modeling
- Time-series analysis
- Ethical considerations in studies with children
- Part III Prenatal development and the newborn
- Part IV Perceptual and cognitive development
- Part V Language and communication development
- Part VI Social and emotional development
- Part VII Motor and related development
- Part VIII Postnatal brain development
- Part IX Developmental pathology
- Part X Crossing the borders
- Part XI Speculations about future directions
- Book part
- Author Index
- Subject Index
- Plate Section (PDF Only)
- References
Multilevel modeling
from Part II - Methods in child development research
Published online by Cambridge University Press: 26 October 2017
Book contents
- The Cambridge Encyclopedia of Child Development
- Child Development
- Copyright page
- Dedication
- Contents
- Contributors
- Editorial preface
- Foreword
- Acknowledgments: External Reviewers
- Introduction Study of child development: an interdisciplinary enterprise
- Part I Theories of development
- Part II Methods in child development research
- Biomechanics
- Cross-cultural comparisons
- Cross-species comparisons
- Developmental testing
- Experimental methods
- Eye tracking
- Fetal and neonatal magnetoencephalography
- Fetal ultrasonography
- Head-mounted eye tracking
- Interviewing children for research
- Magnetic resonance imaging (MRI)
- Functional near-infrared spectroscopy
- Direct observational methods
- Parent and teacher rating scales
- Qualitative methods
- Self-reports and peer ratings
- Epidemiological designs
- Longitudinal and cross-sectional designs
- Twin and related designs
- Bayesian data analysis
- Connectionist modeling
- Individual and group differences in developmental functions
- Indicators of accuracy for screening tests
- Multilevel modeling
- Structural equation modeling
- Time-series analysis
- Ethical considerations in studies with children
- Part III Prenatal development and the newborn
- Part IV Perceptual and cognitive development
- Part V Language and communication development
- Part VI Social and emotional development
- Part VII Motor and related development
- Part VIII Postnatal brain development
- Part IX Developmental pathology
- Part X Crossing the borders
- Part XI Speculations about future directions
- Book part
- Author Index
- Subject Index
- Plate Section (PDF Only)
- References
Summary
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- The Cambridge Encyclopedia of Child Development , pp. 189 - 195Publisher: Cambridge University PressPrint publication year: 2017
References
Further reading
Bolker, B.M., Brooks, M.E., Clark, C.J., Geange, S.W., Poulsen, J.R., Stevens, M.H.H., & White, J.S.S. (2009). Generalized linear mixed models: A practical guide for ecology and evolution. Trends in Ecology & Evolution, 24, 127–135.Google Scholar
Jaeger, T.F. (2008). Categorical data analysis: Away from ANOVAs (transformation or not) and towards logit mixed models. Journal of Memory and Language, 59, 434–446.CrossRefGoogle ScholarPubMed
References
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Judd, C.M., Westfall, J., & Kenny, D.A. (2012). Treating stimuli as a random factor in social psychology: A new and comprehensive solution to a pervasive but largely ignored problem. Journal of Personality and Social Psychology, 103, 54–69.Google Scholar
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Pashler, H., & Wagenmakers, E.J. (2012). Editors’ introduction to the special section on Replicability in psychological science: A crisis of confidence? Perspectives on Psychological Science, 7, 528–530.CrossRefGoogle Scholar
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