Search results
Results from the WOW.Com Content Network
The measure consists of 25 items, each of which ask a question about an individual's behavior and require the rater to respond on a Likert-type rating scale. On the basis of the 25 items, the QABF produces scores in 5 distinct categories: Attention, Escape, Physical, Tangible, and Nonsocial.
The Bayley Scales of Infant and Toddler Development (version 4 was released September 2019) is a standard series of measurements originally developed by psychologist Nancy Bayley used primarily to assess the development of infants and toddlers, ages 1–42 months. [1]
The Parent-Infant Relationship Global Assessment Scale (PIR-GAS; from Axis II): to evaluate the quality of a caregiver-child relationship and identify relationship disorders. Relationship Problems Checklist (RPCL; from Axis II ) : allows the clinician to identify the extent to which a caregiver-child relationship can be described by several ...
Each form of the BRIEF parent- and teacher- rating form contains 86 items in eight non-overlapping clinical scales and two validity scales.These theoretically and statistically derived scales form two indexes: Behavioral Regulation (three scales) and Metacognition (five scales), as well as a Global Executive Composite [6] score that takes into account all of the clinical scales and represents ...
The Gesell Developmental Schedules are a set of developmental metrics which outline the ages & stages of development in young children developed by Dr. Arnold Gesell and colleagues. [1] The original scale is generally considered not to satisfy the standards of rigor currently accepted in the field of psychometrics and is no longer used as an ...
The Battelle Developmental Inventory is a clinical-administered assessment that measures mastery of developmental milestones in the global domains of communication, social-emotional, adaptive, motor, and cognitive development. It is appropriate for use with children from birth to 7 years, 11 months. This assessment is published by Riverside ...
The original scale used principal components analysis to group the items, [4] and more recent research has used confirmatory factor analysis to test the structure. [ 5 ] [ 6 ] [ 7 ] Similar questions are grouped into a number of syndrome scale scores, and their scores are summed to produce a raw score for that syndrome.
[3] [4] Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.