ERIC Number: EJ1194991
Record Type: Journal
Publication Date: 2018-Nov
Abstractor: As Provided
Identifying Atypical Change at the Individual Level from Childhood to Adolescence
Estrada, Eduardo; Ferrer, Emilio; Shaywitz, Bennett A.; Holahan, John M.; Shaywitz, Sally E.
Developmental Psychology, v54 n11 p2193-2206 Nov 2018
Identifying change at the individual level is an important goal for researchers, educators, and clinicians. We present a set of statistical procedures for identifying individuals who depart from a normative change. Using Latent Change Scores models (LCS), we illustrate how the Individual Likelihood computed from a statistical model for change ("IL") and from an alternative unrestricted model ("ILsat") can be used to identify atypical trajectories in situations with several measurement occasions. Using LCS and linear regression, we also show how the observed and latent change residuals can be used to identify atypical individual change between 2 measurement occasions. We apply these methods to a measure of general verbal ability (from WISC-R), from a large sample of individuals assessed every 2 years from Grade 1 to 9. We demonstrate the efficiency of these techniques, illustrate their use to identify individual change in longitudinal data, and discuss potential applications in developmental research.
Descriptors: Change, Children, Adolescents, Age Differences, Verbal Ability, Individual Development, Intelligence Tests, Identification, Statistical Analysis, Longitudinal Studies, Dyslexia, Grade 1, Grade 3, Grade 5, Grade 7, Grade 9
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Publication Type: Journal Articles; Reports - Research
Education Level: Grade 1; Primary Education; Elementary Education; Early Childhood Education; Grade 3; Grade 5; Intermediate Grades; Middle Schools; Grade 7; Junior High Schools; Secondary Education; Grade 9; High Schools
Authoring Institution: N/A
Identifiers - Location: Connecticut
Identifiers - Assessments and Surveys: Wechsler Intelligence Scale for Children