Rasch Meta-Metres of Growth for Some Intelligence and Attainment Tests: A Meta-metre for some Intelligence and Attainment Tests - Hardcover

Andrich, David; Marais, Ida; Sappl, Sonia

Hardcover

ISBN 10: 9819946921 ISBN 13: 9789819946921

Verlag: Springer, 2023

Inhaltsangabe

This book adapts Rasch’s approach for quantifying growth on physiological variables, where growth decelerates, to intellectual variables. To apply this approach, it is necessary to construct measurements in a constant unit over the relevant range of the variable. With such measurements, the book illustrates the approach to quantifying growth on six intellectual variables - two intelligences tests and two each of tests of proficiencies in reading comprehension and mathematics. The book discusses how it is not immediately obvious that deceleration on a quantitative scale should also hold for the growth in intellectual variables. It goes on to show that this is indeed the case with all six tests analysed and considers some implications of this feature for understanding intellectual development, in particular the centrality of the growth trajectory set in early life. 

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Über die Autorin bzw. den Autor

David Andrich first graduated in Mathematics, then in Education, and received a Fulbright Award for study for his PhD in the Measurement, Evaluation and Statistical Analysis Program at The University of Chicago, United States. His dissertation earned the Susan Colver Rosenberger prize for the best research thesis in the Division of the Social Sciences in 1973. He returned to his appointment at The University of Western Australia, and in 1985 was appointed Professor of Education at Murdoch University in Western Australia, where he held the position of Dean for two periods. In 2007, he returned to The University of Western Australia as the Chapple Professor of Education. He is also Visiting Professor in Educational Assessment at The University of Oxford, United Kingdom. He has also been a visiting Professor at The University of Trento in Italy, and visiting Scholar at the University of Copenhagen and The University of Chicago. He has held major research grants from the Australian Research Council continuously since 1985. David has also conducted commissioned research at both national and state levels, and has been a member of expert advisory committees at national and state levels concerned with large-scale assessments. In 1990, he was elected Fellow of the Academy of Social Sciences of Australia for his contributions to measurement in the social sciences. David is especially known for his work in modern test theory, and in particular Rasch measurement theory, where his work has ranged from the philosophy of measurement, through model exposition and interpretation, to software development. He has also given invited addresses at many conferences and has published in Educational, Psychological, Sociological and Statistical journals. 

Ida Marais is a Senior Research Fellow at the GSE Psychometric Laboratory, The University of Western Australia. After graduating with a BSc degree majoring in Computer Science and Psychology, she has worked as a computer analyst/programmer for a number of years before being awarded a University of Auckland Doctoral Scholarship and completing a MSc and PhD in Cognitive Psychology. Since then, Ida has been a researcher and lecturer in the fields of Psychology and Education in New Zealand and Australia. Her research activities focus on psychological and educational measurement, especially the measurement of change over time and simulation of data that violate the Rasch model. Ida's current research investigates the issue of maintaining invariant scales in state, national and international level assessments. She has written and continues to develop a data simulation program to study the implications of specific, various violations of responses according to the Rasch model, and the program is used by colleagues worldwide both for research and teaching of the Rasch model. Ida also jointly coordinates postgraduate units in Rasch measurement and supervises postgraduate students in educational measurement. She consults on a number of projects, including the audit of the Undergraduate Medicine and Health Sciences Admission test (UMAT) analysis and the analysis of the Australian national assessment Program (NAPLAN).

Sonia Sappl is a Research Assistant at the GSE Psychometric Laboratory, The University of Western Australia. After graduating with a BSc degree majoring in Psychology and Neuroscience, she has completed a Graduate Diploma in Professional Education, and is currently enrolled in a Master of Philosophy (Research) at The University of Western Australia. In her role as a research assistant, Sonia has assisted with the statistical analysis of the National Assessment Program for Science Literacy (NAP-SL) data for calibration and equating.

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This book adapts Rasch’s approach for quantifying growth on physiological variables, where growth decelerates, to intellectual variables. To apply this approach, it is necessary to construct measurements in a constant unit over the relevant range of the variable. With such measurements, the book illustrates the approach to quantifying growth on six intellectual variables - two intelligences tests and two each of tests of proficiencies in reading comprehension and mathematics. The book discusses how it is not immediately obvious that deceleration on a quantitative scale should also hold for the growth in intellectual variables. It goes on to show that this is indeed the case with all six tests analysed and considers some implications of this feature for understanding intellectual development, in particular the centrality of the growth trajectory set in early life. 

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 9819946921
• ISBN 13: 9789819946921
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 260
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Deutschland