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Direct linkPetscher, Yaacov; Quinn, Jamie M.; Wagner, Richard K. – Developmental Psychology, 2016
Conceptualizations of developmental trends are driven by the particular method used to analyze the period of change of interest. Various techniques exist to analyze developmental data, including individual growth curve analysis in observed and latent frameworks, cross-lagged regression to assess interrelations among variables, and multilevel…
Descriptors: Individual Development, Correlation, Longitudinal Studies, Oral Reading
Kahn, Peter H., Jr.; Kanda, Takayuki; Ishiguro, Hiroshi; Freier, Nathan G.; Severson, Rachel L.; Gill, Brian T.; Ruckert, Jolina H.; Shen, Solace – Developmental Psychology, 2012
Children will increasingly come of age with personified robots and potentially form social and even moral relationships with them. What will such relationships look like? To address this question, 90 children (9-, 12-, and 15-year-olds) initially interacted with a humanoid robot, Robovie, in 15-min sessions. Each session ended when an experimenter…
Descriptors: Children, Age Differences, Robotics, Interviews
Yoshikawa, Hirokazu; Weisner, Thomas S.; Kalil, Ariel; Way, Niobe – Developmental Psychology, 2008
Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may…
Descriptors: Research Methodology, Statistical Analysis, Qualitative Research, Individual Development
Peer reviewedWalker, Lawrence J.; Gustafson, Paul; Hennig, Karl H. – Developmental Psychology, 2001
This longitudinal study with 62 children and adolescents examined the validity of the consolidation/transition model in the context of moral reasoning development. Results of standard statistical and Bayesian techniques supported the hypotheses regarding cyclical patterns of change and predictors of stage transition, and demonstrated the utility…
Descriptors: Adolescents, Children, Cognitive Development, Data Analysis
Peer reviewedDixon, James A.; Moore, Colleen F. – Developmental Psychology, 2000
Analyzes the logical basis of testing developmental order hypotheses with categorical measures. Argues that depending on whether saltatory or continuous developmental changes are being assessed, the observed relationship between categorical measures yields different types of information about developmental ordering. Maintains that when change is…
Descriptors: Child Development, Data Analysis, Developmental Psychology, Developmental Stages
Peer reviewedBurchinal, Margaret R.; Roberts, Joanne E.; Hooper, Stephen; Zeisel, Susan A. – Developmental Psychology, 2000
Examined analytic methods for describing children's social risk. Found that the individual-risk-variables approach provided better overall prediction of developmental outcomes at a particular age. The risk-factor approach provided good prediction of developmental trajectories with moderate to large sample sizes. The risk-index was useful for…
Descriptors: At Risk Persons, Child Development, Cognitive Development, Comparative Analysis
