Teaching assistants (TAs) play an influential role in primary and secondary schools. But there is an absence in literature about the TA’s efficacy, and to date no instrument is available for measuring TA’s efficacy. The present study aims to develop and validate a scale (Teaching Assistant Efficacy Scale, TAES) for measuring TA’s efficacy on identified capabilities. A total of 531 teaching assistants from Hong Kong schools participated in the survey. The multidimensional Rasch model was used to analyse the data. The results revealed that a 5-dimension structure of TA’s efficacy was supported. The final 30-item version of TAES assesses TA’s efficacy on learning support, teaching support, behaviour management, cooperation, and administrative support. The Rasch reliabilities for all five dimensions were around 0.90. The 6-category response structure worked well for the scale. Further research was recommended to validate and test the robustness of the TAES both in Hong Kong and elsewhere.

The purpose of this study was to establish the factorial construct validity and dimensionality of the Metacognitive Orientation Learning Environment Scale – Science (MOLES-S) which was designed to measure the metacognitive orientation of science classroom learning environments. The metacognitive orientation of a science classroom learning environment is the extent to which psychosocial conditions that are known to enhance students’ metacognition are evident within that classroom. The development of items comprising this scale was based on a theoretical understanding of metacognition, learning environments and the development of previous learning environments instruments. Four possible hypothesized structure models, each consistent with the literature, were reviewed and their merits were compared on the basis of empirical data drawn from two populations of 1026 and 1223 Hong Kong secondary school students using confirmatory factor analysis procedures. The scale was calibrated using the Rasch rating scale model using data from the 1223 student sample. The results suggest that there is strong evidence to support the factorial construct validity of the MOLES-S but that, on the basis of the Rasch analysis, there are still suggestions for further refinement and improvement of the MOLES-S.
[Copyright © 2004 Journal of Applied Measurement.]