The power of the ‘object’ to influence teacher induction outcomes

In this paper we explore newly qualified New Zealand secondary teachers’ varied accounts of induction. We claim that multiple interpretations of objectives for induction programs are a significant source of this variation. With reference to an activity system framework, we identify four primary objects of induction that were represented in the induction accounts as follows: ‘orientation to learning about the context’, ‘fitting into the school’, ‘completing registration requirements’, and ‘becoming a professional inquirer’. Whilst teachers would be expected to experience all of these objects within their induction experiences, the balance and emphases of these objects within programs varied considerably.     

Spurious Latent Classes in the Mixture Rasch Model

Mixture Rasch models have been used to study a number of psychometric issues such as goodness of fit, response strategy differences, strategy shifts, and multidimensionality. Although these models offer the potential for improving understanding of the latent variables being measured, under some conditions overextraction of latent classes may occur, potentially leading to misinterpretation of results. In this study, a mixture Rasch model was applied to data from a statewide test that was initially calibrated to conform to a 3‐parameter logistic (3PL) model. Results suggested how latent classes could be explained and also suggested that these latent classes might be due to applying a mixture Rasch model to 3PL data. To support this latter conjecture, a simulation study was presented to demonstrate how data generated to fit a one‐class 2‐parameter logistic (2PL) model required more than one class when fit with a mixture Rasch model.     

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