This study aimed to develop the Computerized Adaptive Test of Motor Development (MD-CAT) in preschool children based on multidimensional Rasch analysis.
A retrospective study with cross-sectional design.
A medical center.
A total of 1738 children (N=1738).
Main Outcome Measures
Multidimensional Rasch analysis was used to develop the item bank of the MD-CAT. The item bank of the MD-CAT contained 74 items, with 44 and 30 items, respectively, for the subscales of gross and fine motor skills. High correlation existed between the 2 subscales (r=0.96). Three stopping rules were set for the MD-CAT: (1) the person reliability achieved 0.95 or the limited reliability increase by <0.01; (2) at least 3 items were assessed in each dimension; and (3) the number of items used for assessment reached 16. Based on the 3 stopping rules, the MD-CAT had high correlations with its total test length (r=0.87-0.98 for the 2 dimensions), indicating sufficient construct validity. The MD-CAT also had adequate diagnostic validity (area under the curve=0.72-0.93) and efficiency (an average of 3-6 items used for the assessment).
The MD-CAT has high precision and efficiency, good construct validity, and high diagnostic validity. The results of our study indicate that the MD-CAT can be useful in clinical practice and in research as a diagnostic measure.
List of abbreviations:AUC (area under the curve), CAT (computerized adaptive test), CDIIT (Comprehensive Developmental Inventory for Infants and Toddlers), DQ (developmental quotient), EAP/PV (expected a posteriori/plausible value), FM-CAT (Computerized Adaptive Test of Fine Motor Skills), GM-CAT (Computerized Adaptive Test of Gross Motor Skills), MD-CAT (Computerized Adaptive Test of Motor Development), MNSQ (mean square), MRM (multidimensional Rasch modeling)
To read this article in full you will need to make a payment
Purchase one-time access:Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
One-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:Subscribe to Archives of Physical Medicine and Rehabilitation
Already a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
- The relationships among sensorimotor components, fine motor skill, and functional performance in preschool children.Am J Occup Ther. 1995; 49: 645-652
- Fine motor activities in elementary school: preliminary findings and provisional implications for children with fine motor problems.Am J Occup Ther. 1992; 46: 898-903
- Peabody Developmental Motor Scales: examininer's manual.2nd ed. PRO-ED, Inc, Austin2000
- The standardization of the comprehensive developmental inventory for the infants and toddlers.Psychol Test. 1998; 45: 19-46
- Review of the Bayley Scales of Infant Development—second edition.J Sch Psychol. 1994; 32: 201-209
- Construction and validation of the Alberta Infant Motor Scale (AIMS).Can J Public Heal Rev Can Sante Publique. 1991; 83: S46-S50
- Concurrent validity in Taiwan of the Comprehensive Developmental Inventory for Infants and Toddlers who were full-term infants.Percept Mot Skills. 2008; 107: 29-44
- Test-retest and inter-rater reliability for the Comprehensive Developmental Inventory for Infants and Toddlers diagnostic and screening tests.Early Hum Dev. 2005; 81: 927-937
- Development of a computerized adaptive test of children's gross motor skills.Arch Phys Med Rehabil. 2018; 99: 512-520
- Improving the utility of the fine motor skills subscale of the comprehensive developmental inventory for infants and toddlers: a computerized adaptive test.Disabil Rehabil. 2018; 40: 2803-2809
- Motor skills in kindergarten: internal structure, cognitive correlates and relationships to background variables.Hum Mov Sci. 2017; 52: 170-180
- Some relationships of fine and gross motor abilities.Res Quarterly Am Assoc Heal Phys Educ Recreat. 1942; 13: 259-274
- Validation of the Mental Retardation Attitude Inventory-Revised (MRAI-R): a multidimensional Rasch analysis.Int J Soc Sci Humanit. 2015; 6: 519-524
- Evaluation of the Parent-Report Inventory of Callous-Unemotional Traits in a sample of children recruited from intimate partner violence services: a multidimensional Rasch analysis.J Clin Psychol. 2018; 74: 418-441
- A multidimensional Rasch analysis of the Functional Independence Measure based on the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems National Database.J Neurotrauma. 2016; 33: 1358-1362
- Measurement properties of fine motor scale of Peabody Developmental Motor Scales: a Rasch analysis.Am J Phys Med Rehabil. 2009; 88: 376-386
- Crowdsourcing and education with relation to the knowledge economy.Int J Web-Based Learn Teach Technol. 2011; 6: 1-13
- The Comprehensive Developmental Inventory for Infants and Toddlers Manual. Revised version.Taipei Special Education Division Ministry Education; Taipei. 2003;
- Assessing the accuracy of diagnostic tests.Shanghai Arch Psychiatry. 2018; 30: 207
- relationship among the Manual Ability Classification System (MACS), the Gross Motor Function Classification System (GMFCS), and the functional status (WeeFIM) in children with spastic cerebral palsy.Eur J Pediatr. 2009; 168: 477-485
- Functional classifications for cerebral palsy: correlations between the gross motor function classification system (GMFCS), the manual ability classification system (MACS) and the communication function classification system (CFCS).Res Dev Disabil. 2014; 35: 2651-2657
- Association between gross motor function (GMFCS) and manual ability (MACS) in children with cerebral palsy. A population-based study of 359 children.BMC Musculoskelet Disord. 2007; 8: 50
- Use of chopsticks in Chinese children.Child Care Health Dev. 2002; 28: 157-161
- Psychometric evaluation of the PROMIS Physical Function Computerized Adaptive Test in comparison to the American Shoulder and Elbow Surgeons score and Simple Shoulder Test in patients with rotator cuff disease.J Shoulder Elb Surg. 2015; 24: 1961-1967
- Rasch analysis of the Gross Motor Function Measure: validating the assumptions of the Rasch model to create an interval-level measure.Arch Phys Med Rehabil. 2003; 84: 697-705
Published online: July 07, 2021
Accepted: June 20, 2021
Received in revised form: May 6, 2021
Received: August 13, 2020
Supported by Chi-Mei Hospital and National Cheng Kung University Hospital (grant no. CMFHR10767).
© 2021 The American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.