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This study examined the underlying constructs measured by the Woodcock‐Johnson Tests of Cognitive Abilities, Third Edition (WJ‐III COG) and the Stanford‐Binet Intelligence Scales, Fifth Edition (SB5), based on the Cattell‐Horn‐Carrol (CHC) theory of cognitive abilities. This study reports the results of the first joint confirmatory factor analysis of the WJ‐III COG and SB5 with an independently collected preschool‐aged sample. The WJ‐III COG and SB5 were administered to 200 preschool‐aged children of 4 to 5 with no known disorders or disabilities. Confirmatory factor analyses using maximum likelihood estimation were conducted to evaluate three models of increasing complexity and two alternative models to determine which model best describe the underlying constructs measured by the WJ‐III COG and the SB5. Though none of the models displayed a good fit to the data, results showed that the underlying construct of the two tests was best represented by a Three‐Stratum alternative CHC model in which the Gf factor and subtests were omitted. Exploratory factor analysis was conducted to provide further insights into the actual latent structure underlying the data. Implications of findings to guide school‐based practitioners in using cross‐battery assessment with preschool children were addressed.  相似文献   
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The basis of this article is findings from the Music for Life Project which investigated the benefits and challenges of music activity participation for the over 50s in three case study sites in the United Kingdom. The paper uses a philosophical lens to explore the leaders’ and participants’ views on the purpose of the activities, how learners are characterised, the role of the activity leader, and the use of assessment. Data from 147 participant and 13 activity leader questionnaires, from 28 participant and 13 activity leader individual interviews, and from 15 participant focus groups were analysed within a philosophical framework that refers to six approaches: liberal, progressive, behaviourist, humanistic, radical and analytic. NVivo and SPSS assisted with the quantitative and qualitative analyses. The analyses indicated that humanism was prevalent although other approaches, particularly behaviourist and progressive, were evident. Activity leaders’ emphasis on humanism might lead to more concern with the comfort side of participation than with musical progression. There was very little use of formal assessment or feedback to support progression. There was some discrepancy between purposes for participation between leaders and participants. There might be a need to clarify purpose, particularly if activities are part of adult education rather than adult social groups.  相似文献   
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Arts policy has a longstanding relationship with the concept of “quality” and the ways in which organisations measure, evaluate and account for it. Culture Counts, an evaluation system and digital platform, compiles data from standardised evaluation surveys of different stakeholder groups – organisations, audiences, critics, funders and peers – and provides the means to compare and triangulate data in an accessible format. As a result, it claims to provide a more effective, democratic tool for quality measurement of art, which demonstrates the public value of funding [Department of Culture and the Arts, & Knell, J. (2014). Public value measurement framework: Measuring the quality of the arts. Perth: Department of Culture and the Arts.]. Through qualitative research with two consortia of organisations involved in Culture Counts pilot projects in Manchester, England and Victoria, Australia, we explore these claims, comparing the reception and promotion of the system in both countries and considering its potential incorporation into policy assessment frameworks and adoption within arts organisations’ existing evaluation capacities.  相似文献   
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The purpose of this simulation study was to assess the performance of latent variable models that take into account the complex sampling mechanism that often underlies data used in educational, psychological, and other social science research. Analyses were conducted using the multiple indicator multiple cause (MIMIC) model, which is a flexible and effective tool for relating observed and latent variables. The data were simulated in a hierarchical framework (e.g., individuals nested in schools) so that a multilevel modeling approach would be appropriate. Analyses were conducted accounting for and not accounting for the nested data to determine the impact of ignoring such multilevel data structures in full structural equation models. Results highlight the differences in modeling results when the analytic strategy is congruent with the data structure and what occurs when this congruency is absent. Type I error rates and power for the standard and multilevel methods were similar for within-cluster variables and for the multilevel model with between-cluster variables. However, Type I error rates were inflated for the standard approach when modeling between-cluster variables.  相似文献   
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