ORCID Profile
0000-0003-1867-8218
Current Organisation
The University of Auckland
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Publisher: Wiley
Date: 13-09-2016
DOI: 10.1002/BERJ.3210
Publisher: Public Library of Science (PLoS)
Date: 11-10-2021
DOI: 10.1371/JOURNAL.PONE.0257682
Abstract: In this paper, we present autopsych , a novel online tool that allows school assessment experts, test developers, and researchers to perform routine psychometric analyses and equating of student test data and to examine the effect of student demographic and group conditions on student test performance. The app extends current open-source software by providing (1) extensive embedded result narration and summaries for written reports, (2) improved handling of partial credit data via customizable item-person Wright maps, (3) customizable item- and person-flagging systems, (4) item-response theory model constraints and controls, (5) many-facets Rasch analysis to examine item bias, (6) Rasch fixed item equating for mapping student ability across test forms, (7) tabbed spreadsheet outputs and immediate options for secondary data analysis, (8) customizable graphical color schemes, (9) extended ANOVA analysis for examining group differences, and (10) inter-rater reliability analyses for the verifying the consistency of rater scoring systems. We present the app’s architecture and functionalities and test its performance with simulated and real-world small-, medium-, and large-scale assessment data. Implications and planned future developments are also discussed.
Publisher: Max Planck Institute for Demographic Research
Date: 16-03-2021
Publisher: Springer Science and Business Media LLC
Date: 18-09-1970
Publisher: Elsevier BV
Date: 12-2022
Publisher: Elsevier BV
Date: 03-2022
DOI: 10.1016/J.SSRESEARCH.2021.102648
Abstract: Ethnic classification is an inherently subjective process, especially when multiple ethnic identifications are involved. There are two methods commonly used to classify multiple ethnicities into single categories: administrative-prioritisation (assignment via a predetermined hierarchy) and self-prioritisation (where in iduals select their "main" ethnicity). Currently, little is known about whether the demographic composition of outputted ethnic groups differs by prioritisation method. This study utilised large-scale data of multi-ethnic children (N = 1,860), adolescents (N = 2,413), and adults (N = 1,056) from Aotearoa New Zealand to examine in idual and contextual demographic characteristics associated with discrepancies between administratively-prioritised and self-prioritised ethnicity. Results showed that discrepancy rates, which exceeded 50%, were systematically associated with neighbourhood ethnic composition and socioeconomic deprivation, but largely not associated with gender, age, and birthplace. The contextual nature of self-prioritisation highlights the importance of researchers' choice of ethnic classification method. Implications are discussed in the context of increasing multi-ethnic prevalence.
Publisher: Informa UK Limited
Date: 06-04-2022
No related grants have been discovered for Kane Meissel.