ERIC Number: EJ1461035
Record Type: Journal
Publication Date: 2025-Jan
Pages: 13
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1522-7227
EISSN: EISSN-1522-7219
Available Date: 2024-12-16
Strengthening Developmental Science with Psychometric Evaluations: An Examination of the Spatial Arrangement Method as a Measure of Semantic Structure in Children
Catarina Vales1; Zach Branson2; Anna V. Fisher1
Infant and Child Development, v34 n1 e2560 2025
Cognitive tasks are seldom evaluated on their ability to provide valid and reliable measurements of the construct they intend to measure. This scarcity of psychometric evaluations makes it challenging to evaluate replications of experimental effects and to relate performance in cognitive tasks to other constructs of interest. In developmental science, these issues are compounded by the often-imprecise measures derived from tasks completed by child participants. Here, we focus on the spatial arrangement method when used to assess semantic structure in children and evaluate its psychometric properties. Using a new analytic approach to capture individual variability in participants' arrangement in this task, we show that the spatial arrangement method has appropriate construct validity ([beta] = 0.40), internal consistency (r[superscript 2] = 0.20), and test-retest reliability (r[superscript 2] = 0.41; ICC = 0.56) when used to evaluate semantic structure in U.S. children (4-9 years of age; N = 200 across 4 datasets). We discuss the implications of these findings for examining semantic structure in children and for strengthening methodological practices in developmental science more broadly.
Descriptors: Child Development, Psychometrics, Semantics, Preschool Children, Children, Cognitive Processes, Task Analysis, Spatial Ability, Individual Differences, Construct Validity, Measurement Techniques
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 1918259
Data File: URL: https://osf.io/b5yv4/
Author Affiliations: 1Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA; 2Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA