Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 11 of 11
Full-Text Articles in Education
What Makes A Difference? Measuring Non-Academic Outcomes, Prue Anderson, Julian Fraillon
What Makes A Difference? Measuring Non-Academic Outcomes, Prue Anderson, Julian Fraillon
Prue Anderson
There are some very real challenges that educators face in attempting to define, measure and improve the non-academic outcomes of students in Australian schools but there is plenty that can be done to better measure and influence them. There are many challenges in measuring non-academic outcomes but the overarching one is to determine what they are, and whether they are actually 'non-academic' at all. This article addresses each of three major challenges: (1) Defining the outcomes, followed by a recommendation; (2) measuring the outcomes; recommendation; and (3) improving outcomes; recommendation.
Developing Large-Scale Assessments, Ray Philpot
Developing Large-Scale Assessments, Ray Philpot
Ray Philpot
A seminar on large-scale assessment given to a post-graduate class at Boston College, USA. In this seminar I discussed concepts in measurement theory, explained the principles for developing large-scale assessments and gave practical advice on how high quality tests can be constructed.
Adaptive Testing For Psychological Assessment: How Many Items Are Enough To Run An Adaptive Testing Algorithm?, Michaela Wagner-Menghin, Geoff Masters
Adaptive Testing For Psychological Assessment: How Many Items Are Enough To Run An Adaptive Testing Algorithm?, Michaela Wagner-Menghin, Geoff Masters
Prof Geoff Masters AO
Although the principles of adaptive testing were established in the psychometric literature many years ago (e.g., Weiss, 1977), and practice of adaptive testing is established in educational assessment, it is not yet widespread in psychological assessment. One obstacle to adaptive psychological testing is a lack of clarity about the necessary number of items to run an adaptive algorithm. The study explores the relationship between item bank size, test length and measurement precision. Simulated adaptive test runs (allowing a maximum of 30 items per person) out of an item bank with 10 items per ability level (covering .5 logits, 150 items …
Using The Partial Credit Model To Identify And Adjust For Differences Among Assessors, Geoff Masters, Siek Khoo
Using The Partial Credit Model To Identify And Adjust For Differences Among Assessors, Geoff Masters, Siek Khoo
Prof Geoff Masters AO
No abstract provided.
What Makes A Difference? Measuring Non-Academic Outcomes, Prue Anderson, Julian Fraillon
What Makes A Difference? Measuring Non-Academic Outcomes, Prue Anderson, Julian Fraillon
Julian Fraillon
There are some very real challenges that educators face in attempting to define, measure and improve the non-academic outcomes of students in Australian schools but there is plenty that can be done to better measure and influence them. There are many challenges in measuring non-academic outcomes but the overarching one is to determine what they are, and whether they are actually 'non-academic' at all. This article addresses each of three major challenges: (1) Defining the outcomes, followed by a recommendation; (2) measuring the outcomes; recommendation; and (3) improving outcomes; recommendation.
The Partial Credit Model, Geoff Masters
The Partial Credit Model, Geoff Masters
Prof Geoff Masters AO
This chapter demonstrates the elegant simplicity of the underlying concept on which the partial credit model (PCM) was built. This provides a valuable basis for understanding this highly influential polytomous item response theory (IRT) model, including its relationship to other models and the reasons for its widespread use.
Measuring English Language Proficiency: Revision Of The Ielts Pronunciation Scale, Sacha Develle
Measuring English Language Proficiency: Revision Of The Ielts Pronunciation Scale, Sacha Develle
Dr Sacha DeVelle
No abstract provided.
What Is The Value Of Educational Technologies In Schools?: Initial Findings From The International Research Project ‘Measuring The Value Of Educational Technologies In Schools’, Kathryn Moyle
Professor Kathryn Moyle
Understanding the costs as well as the value of educational technologies in schools is important for school leaders to be able to strategically lead school development processes. This paper outlines some of the findings from the first case studies emerging from the international project, Measuring the value of educational technologies in schools, involving a school in each of USA, UK and Australia. The Measuring the value of educational technologies in schools research project is examining the relationships that exist in schools between educational technologies or ‘tangible information technology (IT) assets’, and ‘intangible assets’ such as the capabilities of teachers and …
The Process Of The Assessment Of Writing Performance : The Rater's Perspective, Tom Lumley
The Process Of The Assessment Of Writing Performance : The Rater's Perspective, Tom Lumley
Dr Tom Lumley
This study investigates the process of rating texts written by adult ESL learners. Four experienced raters provided think-aloud protocols describing the rating process for a set of 24 texts. The think-aloud data allowed analysis of the sequence of rating, raters' interpretations of the scoring categories, and difficulties raters faced. The study reveals the complexity of the rating process, whereby raters struggle to resolve a tension between the wordings (or rules) of the rating scale and their complex, initial, intuitive impression of the text. Rating requires training to provide reliable measurement. The study also demonstrates that caution is needed in interpreting …
Defining A 'Fear-Of-Crime' Variable: A Comparison Of Two Rasch Models, Geoff Masters
Defining A 'Fear-Of-Crime' Variable: A Comparison Of Two Rasch Models, Geoff Masters
Prof Geoff Masters AO
No abstract provided.
Rating Scale Analysis, Benjamin Wright, Geoff Masters
Rating Scale Analysis, Benjamin Wright, Geoff Masters
Prof Geoff Masters AO
No abstract provided.