Child assessment has become imperative today as parents and teachers recognize the need for early diagnostic assessments to adequately cater for children’s’ diverse and growing needs so that children can benefit from services and attention in a psychological or educational setting. The Griffiths Mental Development Scales, an established and well-researched instrument is reported to be one of the most carefully designed measures of child development . Studies in various parts of the world have demonstrated that the Griffiths Scales are applicable to diverse populations and that they tap experiences that are common to different cultures. The recent revision and restandardisation of the Griffiths Mental Developmental Scales-Extended Revised (GMDS-ER) has necessitated investigations into its psychometric properties. In view of the important role that assessment measures play in the early identification of developmental delays, it is important that assessment measures are reliable and valid for their intended purpose(s). This study, which is part of a larger research project, attempted to explore and add further evidence of the construct validity of one of the six Subscales of the GMDS-ER, namely the Personal-Social Subscale (Subscale B). An exploratory-descriptive design using a triangulation approach was utilized to explore the construct validity of the Personal-Social Subscale. A nonprobability purposively selected sample of 18 experts working with children participated in the facet analysis to identify the constructs underlying Subscale B (the qualitative aspect of the study). The sample for the quantitative aspects of this study (i.e., the empirical validation of the identified constructs) was collected as part of the broader restandardisation and represented a stratified random sample of 1026 children between the ages of 3 and 8 years from across the United Kingdom and Eire. Three measures, namely a biographical questionnaire, the GMDS-ER and a construct evaluation form were used to gather the qualitative and quantitative data. The qualitative data was analysed by means of facet analysis and literature control. The quantitative data was analysed by using exploratory common factor analysis using oblique (DQUART) rotation to empirically verify the qualitatively identified construct model by specifying a onefactor solution for each underlying construct.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:9934 |
| Date | January 2007 |
| Creators | Moosajee, Shaheda |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Health Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Doctoral, DPhil |
| Format | 298 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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