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Considerations for Online
Assessment Program
Design

   Co-hosted by: ExcelSoft


                             Hash tag #CaveonWbnr
Considerations For Online
Assessment Program Design
                      Presented by:

 Mika Hoffman
 Executive Director – Center for Educational Measurement
 Excelsior College
 &

 Lawrence M. Rudner
 Vice President and Chief Psychometrician
 Research and Development
 Graduate Management Admission Council (GMAC)
Contents

Introduction
Understanding Online Assessment Programs
Understanding Test Development &
Psychometricians
Q&A
Considerations for Online
        Assessment Program
        Design



Understanding Online
Assessment Programs

Mika Hoffman
Overview

   Types of academic assessment
   The stakes involved
   Validity
   Test planning
   Proctoring and identity verification
   Example—how Excelsior does it
Types of academic assessment
 Diagnostic assessment
   Placement in sections/courses
   Identification of strengths and weaknesses
 Formative assessment
   Provides feedback to students
   May shape lesson plans
   Identification of strengths and weaknesses
 Summative assessment
   Assesses outcome of learning
The stakes involved
 Low stakes
   Quizzes with little impact on grade
   Self-assessments
   Assessments in non-credit courses
 Mid stakes
   Tests with substantial impact on grade
   Challenge exams to bypass requirements
 High stakes
   Summative assessments determining all or most of grade
   Credit by examination
   Entrance exams (e.g., SAT, GRE, GMAT)
Validity

 In academic testing, we can say that a
  test is valid if it gives us reasonable
  assurance that a person claiming to know
  the relevant academic material actually
  does know it.
 Need to establish
   What is the knowledge?
   Is it relevant to the academic subject?
   Who has the knowledge?
Test Planning

 Deals with what knowledge is being
  tested and whether it’s relevant to the
  academic subject and the purpose of the
  assessment
   For tests that are for “all the marbles,” the
    test plan is the equivalent of a syllabus and
    learning objectives
   Even for quizzes, it’s good to know what the
    quiz is expected to accomplish
Test Security

 Not just about proctoring
   Need to know that the test has been secure
    throughout development
 Security is related to validity
   If students get a good score because they
    saw the material and memorized it ahead of
    time, what are you testing?
Proctoring and Identity Verification

 Need to verify that the people taking the
  test are who they say they are
 Need to verify that the people taking the
  test are using their knowledge of the
  subject, not other aids (references,
  friends, the Internet)
 Need to ensure that the test content is
  secure
Example

 Excelsior College’s exams are high stakes, “all the
  marbles” exams: designed to stand alone as the
  equivalent of a 3-credit course
 Test Plans are written by a committee with testing
  experts and instructors of the subject taken from
  around the country
 Practice exams delivered online with
  username/password verification
 Proctoring and identity verification done in person at
  Pearson VUE testing centers
Considerations for Online
        Assessment Program
        Design



Understanding Test
Development & Psychometricians

Lawrence M. Rudner
Overview

            Building a quality test



           Marks of quality



           Sources of error
Question for our attendees


    Why should we worry about test quality?
Quality

 Test takers are entitled to assurance that no
  examinee enjoys an unfair advantage
 Testing organizations have an obligation to
  provide, or use its best efforts to provide, only
  valid scores
 Organizations have the right to protect their own
  reputation by assuring the reliability of the
  information they provide.
Test Development Process
                                 Review
                                 Review
Identify desired   Develop
                   Develop         new
                                    new
    content          new
                      new         items
                                   items
                    items
                     items
                                             Pilot new
                                             Pilot new
                                               items
                                                items
Establish test     Administer
                   Administer
specifications
                                           Conduct
                                           Conduct
                         Assemble
                         Assemble            item
                                              item
                           new
                            new            analysis
                                            analysis
                        pool/forms
                        pool/forms
Marks of Quality – Test Reliability
Marks of Quality – Test Reliability
More Validity
Validity: relationship between test score and outcome measure



Success /
True
Master




            200            500              800
                             Test Score
Item Analysis – Response Options
Item Analysis – Response Options
Item Analysis – Response Options
Item Analysis – Response Options
                            Item 27             Rit = 0.43
             100

             80
Percentage




             60                                                  1 (3)

                                                                 2* (69)
             40
                                                                 3 (7)
             20                                                  4 (20)

              0
                   1              2              3           4
                                 Score Groups
                       Subgroup 0 -- Subtest 0 (Missings)
Item Analysis – Response Options
                            Item 22             Rit = -0.26
             100

             80
Percentage




             60                                                   1 (5)

                                                                  2 (5)
             40
                                                                  3 (59)
             20                                                   4* (30)

              0
                   1              2              3            4
                                 Score Groups
                       Subgroup 0 -- Subtest 0 (Missings)
Item Analysis – Response Options
                       Item 39             Rit = 0.15
             100

             80
Percentage




             60                                             1* (97)

                                                            2 (0)
             40
                                                            3 (1)
             20                                             4 (2)

              0
                   1         2             3            4
                           Score Groups
                       Subgroup 0 -- Subtest 0
Item Analysis – Response Options
                        Item 34             Rit = 0.57
              100

              80
 Percentage




              60                                             1* (73)

                                                             2 (7)
              40
                                                             3 (11)
              20                                             4 (9)

               0
                    1         2             3            4
                            Score Groups
                        Subgroup 0 -- Subtest 0
Item Analysis – Item discrimination
Question 19
              Score R/W
               80    1      r = .70
               70    1
               65    0
               60    1
               50    0
               30    0
               20    0
Item Analysis – Item discrimination
Question 7
Item Analysis – Item discrimination
    Question 19
Item Analysis – Item discrimination
  Question 7
Constructing a quality test


  1. Good representation of content
  2. Good, proven test questions
  3. Enough test questions
  4. Equivalent alternate forms
Our Gifts To You!
Online Item Writing                       30 minute needs analysis
Training
URL: training.caveon.net              http://testing-assessments.excelind
Code word: online14


    • Internet-based training – 1 hour of training, code good for 2 weeks!

    • ExcelSoft will provide you with a 30-minute consultation, at no
    cost, for assessing your testing development and delivery needs
         • Looking to implement or make change to your test delivery
         platform
Helpful Resources
LinkedIn Group – “Caveon Test Security” Join Us!
Follow us on twitter @Caveon
www.caveon/resources/webinars – slides & recordings
Cheating Articles at www.caveon.com/citn
Caveon Security Insights blog – www.caveon.com/blog
CSI Newsletter – Contact us to get on the mailing list!
Thank You!
       Special Thanks to:

           Lawrence M. Rudner, Ph.D.
           Vice President and Chief Psychometrician
           Research and Development
           Graduate Management Admission Council
           lrudner@gmac.com

           Mika Hoffman, Ph.D.
           Executive Director - Center for Educational Measurement
           Excelsior College
           mhoffman@excelsior.edu


Please contact: richelle.gruber@caveon.com
for feedback or a copy of the slides
Upcoming Events
 Please visit our sessions and our Caveon booth #209 at
  ATP’s Innovations In Testing – February 3-6, 2013
 Steve Addicott presenting at SeaSkyLand Conference in
  ShenZhen – February 2013
 John presenting at TILSA meeting February 7th in Atlanta.
    Other presenters include John Olson, Greg Cizek.

 Release of TILSA Test Security Guidebook – Visit our booth
  to discuss it with John Fremer at ATP!
 Handbook of Test Security – To be published March 2013
 CCSSO Best Practices meeting in June 2013
Caveon ATP Sessions
 Tell it to the Judge! Winning with Data Forensics
  Evidence in Court
   Steve Addicott - 2/4/13 – 10 am
 Data Forensics: Opening the Black Box
   John Fremer & Dennis Maynes – 2/4/13 – 2:45 pm
 A Synopsis of the Handbook of Test Security
   David Foster & John Fremer – 2/4/13 – 5 pm
 From Foundations to Futures: Online Proctoring
  and Authentication (Kryterion session)
   David Foster – 2/5/13 – 11 am
 Make, Buy, or Borrow: Acquiring SMEs
   Nat Foster – 2/5/13 – 1:15 pm
ATP Sessions of our presenters
 Free Tools to Nail the Brain Dumps
   Monday 2/4/2013 4:00 PM – 5:00 PM
      Lawrence Rudner
 The Game’s Afoot: Sleuths Match Wits
   Tuesday 2/5/2013 11:00 AM – Noon
      Lawrence Rudner & Dennis Maynes
 Online Education – How Can We Make Sure
  Students are Really Learning?
   Tuesday 2/5/2013 11:00 AM – Noon
      Jamie Mulkey
      Mika Hoffman
We hope to “See You” at our next
sessions!

 Caveon’s Lessons Learned from ATP
   To be held: Feb 20, 2013


 The next webinar in the Online Education series:
   Designing Assessments for the Online Education
    Environment
      To be held: March 20, 2013

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Caveon Webinar Series: Considerations for Online Assessment Program Design

  • 1. Considerations for Online Assessment Program Design Co-hosted by: ExcelSoft Hash tag #CaveonWbnr
  • 2. Considerations For Online Assessment Program Design Presented by: Mika Hoffman Executive Director – Center for Educational Measurement Excelsior College & Lawrence M. Rudner Vice President and Chief Psychometrician Research and Development Graduate Management Admission Council (GMAC)
  • 3. Contents Introduction Understanding Online Assessment Programs Understanding Test Development & Psychometricians Q&A
  • 4. Considerations for Online Assessment Program Design Understanding Online Assessment Programs Mika Hoffman
  • 5. Overview  Types of academic assessment  The stakes involved  Validity  Test planning  Proctoring and identity verification  Example—how Excelsior does it
  • 6. Types of academic assessment  Diagnostic assessment  Placement in sections/courses  Identification of strengths and weaknesses  Formative assessment  Provides feedback to students  May shape lesson plans  Identification of strengths and weaknesses  Summative assessment  Assesses outcome of learning
  • 7. The stakes involved  Low stakes  Quizzes with little impact on grade  Self-assessments  Assessments in non-credit courses  Mid stakes  Tests with substantial impact on grade  Challenge exams to bypass requirements  High stakes  Summative assessments determining all or most of grade  Credit by examination  Entrance exams (e.g., SAT, GRE, GMAT)
  • 8. Validity  In academic testing, we can say that a test is valid if it gives us reasonable assurance that a person claiming to know the relevant academic material actually does know it.  Need to establish  What is the knowledge?  Is it relevant to the academic subject?  Who has the knowledge?
  • 9. Test Planning  Deals with what knowledge is being tested and whether it’s relevant to the academic subject and the purpose of the assessment  For tests that are for “all the marbles,” the test plan is the equivalent of a syllabus and learning objectives  Even for quizzes, it’s good to know what the quiz is expected to accomplish
  • 10. Test Security  Not just about proctoring  Need to know that the test has been secure throughout development  Security is related to validity  If students get a good score because they saw the material and memorized it ahead of time, what are you testing?
  • 11. Proctoring and Identity Verification  Need to verify that the people taking the test are who they say they are  Need to verify that the people taking the test are using their knowledge of the subject, not other aids (references, friends, the Internet)  Need to ensure that the test content is secure
  • 12. Example  Excelsior College’s exams are high stakes, “all the marbles” exams: designed to stand alone as the equivalent of a 3-credit course  Test Plans are written by a committee with testing experts and instructors of the subject taken from around the country  Practice exams delivered online with username/password verification  Proctoring and identity verification done in person at Pearson VUE testing centers
  • 13. Considerations for Online Assessment Program Design Understanding Test Development & Psychometricians Lawrence M. Rudner
  • 14. Overview Building a quality test Marks of quality Sources of error
  • 15. Question for our attendees Why should we worry about test quality?
  • 16. Quality  Test takers are entitled to assurance that no examinee enjoys an unfair advantage  Testing organizations have an obligation to provide, or use its best efforts to provide, only valid scores  Organizations have the right to protect their own reputation by assuring the reliability of the information they provide.
  • 17. Test Development Process Review Review Identify desired Develop Develop new new content new new items items items items Pilot new Pilot new items items Establish test Administer Administer specifications Conduct Conduct Assemble Assemble item item new new analysis analysis pool/forms pool/forms
  • 18. Marks of Quality – Test Reliability
  • 19. Marks of Quality – Test Reliability
  • 20. More Validity Validity: relationship between test score and outcome measure Success / True Master 200 500 800 Test Score
  • 21. Item Analysis – Response Options
  • 22. Item Analysis – Response Options
  • 23. Item Analysis – Response Options
  • 24. Item Analysis – Response Options Item 27 Rit = 0.43 100 80 Percentage 60 1 (3) 2* (69) 40 3 (7) 20 4 (20) 0 1 2 3 4 Score Groups Subgroup 0 -- Subtest 0 (Missings)
  • 25. Item Analysis – Response Options Item 22 Rit = -0.26 100 80 Percentage 60 1 (5) 2 (5) 40 3 (59) 20 4* (30) 0 1 2 3 4 Score Groups Subgroup 0 -- Subtest 0 (Missings)
  • 26. Item Analysis – Response Options Item 39 Rit = 0.15 100 80 Percentage 60 1* (97) 2 (0) 40 3 (1) 20 4 (2) 0 1 2 3 4 Score Groups Subgroup 0 -- Subtest 0
  • 27. Item Analysis – Response Options Item 34 Rit = 0.57 100 80 Percentage 60 1* (73) 2 (7) 40 3 (11) 20 4 (9) 0 1 2 3 4 Score Groups Subgroup 0 -- Subtest 0
  • 28. Item Analysis – Item discrimination Question 19 Score R/W 80 1 r = .70 70 1 65 0 60 1 50 0 30 0 20 0
  • 29. Item Analysis – Item discrimination Question 7
  • 30. Item Analysis – Item discrimination Question 19
  • 31. Item Analysis – Item discrimination Question 7
  • 32. Constructing a quality test 1. Good representation of content 2. Good, proven test questions 3. Enough test questions 4. Equivalent alternate forms
  • 33. Our Gifts To You! Online Item Writing 30 minute needs analysis Training URL: training.caveon.net http://testing-assessments.excelind Code word: online14 • Internet-based training – 1 hour of training, code good for 2 weeks! • ExcelSoft will provide you with a 30-minute consultation, at no cost, for assessing your testing development and delivery needs • Looking to implement or make change to your test delivery platform
  • 34. Helpful Resources LinkedIn Group – “Caveon Test Security” Join Us! Follow us on twitter @Caveon www.caveon/resources/webinars – slides & recordings Cheating Articles at www.caveon.com/citn Caveon Security Insights blog – www.caveon.com/blog CSI Newsletter – Contact us to get on the mailing list!
  • 35. Thank You! Special Thanks to: Lawrence M. Rudner, Ph.D. Vice President and Chief Psychometrician Research and Development Graduate Management Admission Council lrudner@gmac.com Mika Hoffman, Ph.D. Executive Director - Center for Educational Measurement Excelsior College mhoffman@excelsior.edu Please contact: richelle.gruber@caveon.com for feedback or a copy of the slides
  • 36. Upcoming Events  Please visit our sessions and our Caveon booth #209 at ATP’s Innovations In Testing – February 3-6, 2013  Steve Addicott presenting at SeaSkyLand Conference in ShenZhen – February 2013  John presenting at TILSA meeting February 7th in Atlanta.  Other presenters include John Olson, Greg Cizek.  Release of TILSA Test Security Guidebook – Visit our booth to discuss it with John Fremer at ATP!  Handbook of Test Security – To be published March 2013  CCSSO Best Practices meeting in June 2013
  • 37. Caveon ATP Sessions  Tell it to the Judge! Winning with Data Forensics Evidence in Court  Steve Addicott - 2/4/13 – 10 am  Data Forensics: Opening the Black Box  John Fremer & Dennis Maynes – 2/4/13 – 2:45 pm  A Synopsis of the Handbook of Test Security  David Foster & John Fremer – 2/4/13 – 5 pm  From Foundations to Futures: Online Proctoring and Authentication (Kryterion session)  David Foster – 2/5/13 – 11 am  Make, Buy, or Borrow: Acquiring SMEs  Nat Foster – 2/5/13 – 1:15 pm
  • 38. ATP Sessions of our presenters  Free Tools to Nail the Brain Dumps  Monday 2/4/2013 4:00 PM – 5:00 PM  Lawrence Rudner  The Game’s Afoot: Sleuths Match Wits  Tuesday 2/5/2013 11:00 AM – Noon  Lawrence Rudner & Dennis Maynes  Online Education – How Can We Make Sure Students are Really Learning?  Tuesday 2/5/2013 11:00 AM – Noon  Jamie Mulkey  Mika Hoffman
  • 39. We hope to “See You” at our next sessions!  Caveon’s Lessons Learned from ATP  To be held: Feb 20, 2013  The next webinar in the Online Education series:  Designing Assessments for the Online Education Environment  To be held: March 20, 2013

Editor's Notes

  1. Upcoming Events slide?
  2. Let’s try to trim this down in the Dry Run
  3. What stakes are attached to a non-credit placement exam? (Low, Mid, High) What stakes are attached to an exam leading to a non-credit certificate for professional training? (Low, Mid, High)
  4. Why should we worry about test quality?
  5. We talked about validity earlier- basically the relationship between performance on the GMAT® and performance in your program. This chart shows the relationship between the gmat and first year grades. Each point shows values for one person. In general, higher GMAT® scores lead to higher expected grades, but this is not true for every case. Validity is the measure of the average line closest to these points. A lot of things will affect this validity, for instance, these people may not be accepted into the program, so it may be harder to find the trend with just these points. By the same token, if everyone gets grades in this range, again it’s hard to make out the trend. You may have a couple of people who buck the trend, people who succeed who you might not have expected to, or people who do poorly even when they have everything going for them. These people when averaged in with the others might skew the results a bit.
  6. Explain next Webinar(s)?