Handbook of Developmental Research MethodsBrett Laursen, Todd D. Little, Noel A. Card 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. |
Contents
3 | |
17 | |
31 | |
Chapter 4TimeScaleDependent Longitudinal Designs | 46 |
Chapter 5Event Frequency Measurement | 65 |
Chapter 6The Impact of Scaling and Measurement Methods on Individual Differences in Growth | 82 |
Chapter 7Investigating Factorial Invariance in Longitudinal Data | 109 |
Part IIApproaches to Data Collection | 127 |
Chapter 23Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories | 385 |
Chapter 24Growth Curve Modeling from a Structural Equation Modeling Perspective | 411 |
Chapter 25Growth Curve Modeling from a Multilevel Model Perspective | 432 |
Chapter 26Nonlinear Growth Modeling | 445 |
Chapter 27GroupBased Trajectory Modeling in Developmental Science | 464 |
Chapter 28Longitudinal Mixture Models and the Identification of Archetypes | 481 |
Chapter 29Multilevel Structural Equation Modeling | 501 |
Part VINonindependent Data Analysis | 519 |
Chapter 8Foundational Issues in Longitudinal Data Collection | 129 |
Chapter 9The Use of LargeScale Data Sets for the Study of Developmental Science | 148 |
Chapter 10Telemetrics and Online Data Collection | 163 |
Chapter 11Collecting and Analyzing Longitudinal Diary Data | 181 |
Chapter 12Retrospective Methods in Developmental Science | 196 |
Chapter 13Peer Ratings | 211 |
Part IIIInterindividual Longitudinal Analysis | 229 |
Chapter 14Foundational Issues in Investigating Development as Interindividual Variation | 231 |
Chapter 15Analysis of Experimental and QuasiExperimental Data | 247 |
Chapter 16Autoregressive and CrossLagged Panel Analysis for Longitudinal Data | 265 |
Chapter 17Analyzing Change between Two or More Groups | 279 |
Chapter 18Mediation Models for Developmental Data | 291 |
Part IVIntraindividual Longitudinal Analysis | 311 |
Chapter 19Foundational Issues in Intraindividual Longitudinal Analysis | 313 |
Chapter 20Dynamic Factor Analysis and Control of Developmental Processes | 333 |
Chapter 21PTechnique Factor Analysis | 350 |
Chapter 22Hazard Event History and Survival Modeling | 364 |
Part VCombining Interindividual and Intraindividual Longitudinal Analysis | 383 |
Chapter 30Foundational Issues in Nonindependent Data Analysis | 521 |
Chapter 31Dyadic Data Analyses in a Developmental Context | 537 |
Chapter 32Applying the Social Relations Model to Developmental Research | 557 |
Chapter 33Analysis of Static Social Networks and Their Developmental Effects | 577 |
Chapter 34ActorBased Model for Network and Behavior Dynamics | 598 |
Part VIISpecial Topics in Data Analysis | 619 |
Chapter 35Configural Frequency Analysis in Developmental Research | 621 |
645 | |
Chapter 37MetaAnalysis in Developmental Science | 667 |
687 | |
706 | |
Chapter 40Dynamic Systems | 725 |
Chapter 41Planned Missing Data Designs for Developmental Research | 742 |
Author Index | 755 |
768 | |
About the Editors | 783 |
Contributors | 785 |
Other editions - View all
Handbook of Developmental Research Methods Brett Paul Laursen,Todd D. Little,Noel A. Card Limited preview - 2011 |
Handbook of Developmental Research Methods Brett Laursen,Todd D. Little,Noel A. Card No preview available - 2013 |
Common terms and phrases
actor effects adolescent ANOVA antitypes applied approach assessments assumption autoregressive behavior causal child cluster coefficients cognitive cohort correlation covariance cross-lagged data collection data sets Developmental Psychology developmental research dyad dyadic dynamic effect sizes EMOSA error estimates evaluate event example factor analysis function gender genetic growth curve modeling growth model indices individual differences influence interactions intercept intraindividual invariance item response theory Journal lagged latent growth latent variables linear longitudinal data longitudinal studies matrix McArdle measurement meta-analysis methods missing data mixture models Molenaar Mplus multilevel modeling multiple multivariate Muthén Nesselroade nonindependence nonlinear observed outcome P-technique panel model parameters participants partner effects patterns peer person population predicted predictors propensity score quadratic growth random regression relations relationship reports response sample scale scores social networks social networks analysis specific statistical structural equation modeling theory tion trajectory types values variance within-person