Use of Missing Data Methods in Longitudinal Studies: The Persistence of Bad Practices in Developmental Psychology

Developmental science rests on describing, explaining, and optimizing intraindividual changes and, hence, empirically requires longitudinal research. Problems of missing data arise in most longitudinal studies, thus creating challenges for interpreting the substance and structure of intraindividual...

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Veröffentlicht in:	Developmental psychology 2009-07, Vol.45 (4), p.1195-1199
Hauptverfasser:	Jeličić, Helena, Phelps, Erin, Lerner, Richard M
Format:	Artikel
Sprache:	eng
Schlagworte:	Academic journals Adolescent Development Bias Biological and medical sciences Child Child Development Data analysis Data Collection Data Collection - statistics & numerical data Developmental Psychology Discrepancies Fundamental and applied biological sciences. Psychology Human Humans Inappropriateness Likelihood Functions Longitudinal Studies Maximum Likelihood Maximum likelihood method Maximum Likelihood Statistics Methodology Missing data Multiple imputation Psychology Psychology, Child - statistics & numerical data Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics. Statistics. Methodology Research Design - statistics & numerical data Research Methodology Research methods Research Problems Statistical Analysis Statistical Data Statistics. Mathematics Studies
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