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Background questionnaires: Why ask about social identity

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Title: The Role of Assessment in Developing Valid and Sound Student Evaluation Systems Author: PMcDivitt Last modified by: Marielle Simon Created Date – PowerPoint PPT presentation

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Title: Background questionnaires: Why ask about social identity


1
Background questionnaires Why ask about social
identity
  • Ruth Childs (OISE-UT)
  • Orlena Broomes (OISE-UT)

2
Social Identity
  • Social Identity is a potentially important factor
    in our attempts to understand student achievement
    on large scale tests.
  • We typically do not collect enough information
    about this variable.
  • It takes time and effort to develop good
    questionnaire items

3
Questions
  • How do we deal with those groups who do not want
    the information that could be obtained by such
    items?
  • Aboriginal population
  • What are the implications of options such as I
    prefer not to Respond
  • Can respondents distinguish between
    confidentiality and anonymity

4
Four Perspectives on the Issue of Motivation as
it Relates to Large-scale Assessment
  • Christina van Barneveld (Lakehead University)
  • Sherri-Lynne Pharand (Lakehead University)
  • Lori Ruberto (Lakehead Public Schools)
  • Daphne Haggart (Lakehead Public Schools)

5
Motivation
  • Motivation can have an impact on students test
    performance.
  • The importance of expectation and value
  • There are a variety of methods to detect lack of
    motivation.
  • There is a real value in examining the
    perspectives of different stakeholders.

6
Questions
  • Which students are not motivated?
  • Are there other ways to raise motivation rather
    than through the use of incentives and support?
  • What do you mean by the notion that motivation
    is a content irrelevant factor?
  • Have you been able to get the perspectives of
    others within your stakeholder groups?
  • Does increased motivation lead to change?

7
Testing of English- and French Speaking Students
in Canada
  • Kadriye Ercikan, UBC
  • Marielle Simon, University of Ottawa
  • María Elena Oliveri, UBC
  • Normand Dufour, Quebec Ministry of Education

8
Comparability of Translated Tests
  • It is difficult to do this successfully.
  • Minority language population are often small
    (lt5)
  • There are a variety of procedures, both
    statistical and descriptive to try to address
    these comparability issues.
  • We have a long way to go.

9
Questions
  • Why is there such a large section on DIF?
  • Should we be promoting comparability across
    languages or discouraging it?
  • When can we be confident in the comparability of
    results across languages?

10
Complexities, Challenges and Opportunities in
Scoring Provincial Assessments A Perspective
from British Columbia
  • María Elena Oliveri (University of British
    Columbia)
  • Britta Gundersen-Bryden (B. C. Ministry of
    Education)
  • Kadriye Ercikan (University of British Columbia)

11
Scoring
  • The methods used to score large-scale assessments
    can impact the accuracy of the results.
  • The case of British Columbia.

12
Questions
  • Which kinds of tests and items are more
    susceptible to scoring errors?.
  • What are some of the real challenges of
    decentralized scoring?
  • Move beyond consistency
  • Downloading of responsibility
  • What have other researchers found out here?

13
Improving the Ways we Report Test Scores
Research Findings, and Important Steps and
Methods.
  • Ron Hambleton (University of Massachusetts)
  • April Zenisky (University of Massachusetts)

14
Reporting
  • There is a need for score reports to include
    important technical information?
  • Scales
  • Measurement Error
  • We need to develop reports that make it easier
    for accurate interpretations.
  • Potential of benchmarking.
  • Diagnostic Information

15
Questions
  • But, students, teachers, etc. want more
    information!
  • What accurate information can we provide?
  • The need for large-scale test honesty.

16
Summary Across Papers
  • Each chapter highlights an important issue in
    large-scale testing
  • These topics often do not receive sufficient
    attention in large-scale testing systems
  • The chapters are well written summaries of what
    we know
  • Differences in the writing, structure, and depth
    of each chapter.
  • There is not much new in the chapters. Most of
    the information has been reported in other forums.
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