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Second Interim Report Of Nab Schools First Evaluation Of The 2010 Awards : Submitted To The National Australia Bank Group, Robert Simons
Second Interim Report Of Nab Schools First Evaluation Of The 2010 Awards : Submitted To The National Australia Bank Group, Robert Simons
Dr Robert Simons
The primary objective of the NAB Schools First Awards is to recognise social networks that already exist between schools and communities and to encourage both the strengthening of these and the building of new linkages. This report looks at how effectively NAB Schools First has recognised and encouraged school and community partnerships. It also looks at how effectively a subset of 2009 NAB Schools First Award partnerships can demonstrate improvements in partnership collaboration, sustainability, and effectiveness from 2010 to 2011. Also considered is the extent to which the NAB Schools First judging process ‘raised the bar’ on applications for Awards …
Rasch Models Of Multidimensionality Between Items And Within Items, W Wen-Chung, M Wilson, Ray Adams
Rasch Models Of Multidimensionality Between Items And Within Items, W Wen-Chung, M Wilson, Ray Adams
Prof Ray Adams
This chapter focuses on Rasch measurement and extends it to multidimensional Rasch models. The author first clarifies multidimensionality at two levels: the item level and the test level. With this two way classification, three kinds of tests are formed: undimensional tests, multidimensional between-item tests, and multidimensional within-item tests. The author describes a multidimensional Rasch model, the multidimensional random coefficients multinomial logit (MRCML) model, for multidimensional tests. The model, when applied to multidimensional between-item tests, is more efficient than are unidimensional models in terms of model fit and reliability indices. The model can also be applied to investigate scale interaction of …
Bias In Weighted Likelihood Estimation When Using The Rasch Model, D Roberts, Ray Adams
Bias In Weighted Likelihood Estimation When Using The Rasch Model, D Roberts, Ray Adams
Prof Ray Adams
There are three methods of maximum likelihood estimation that are commonly used with Rasch item response models: Joint maximum likelihood, which provides point estimates for both person and item parameters; conditional maximum likelihood, which produces estimates for the item parameters only, and marginal maximum likelihood, which produces estimates of the item parameters and parameters of the distribution from which it has been assumed that the persons have been sampled. A number of approaches have been suggested for obtaining ability estimates for subsequent use in reporting or analysis when either conditional or marginal methods have been used to obtain the item …