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Using ExamSoft Data for
Faculty Development
Misty M Stutz, PharmD and Kimberly K Daugherty, PharmD BCPS
Sullivan University College of Pharmacy
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Using ExamSoft Data for
Faculty Development
Misty M Stutz, PharmD
Chair, Clinical and Administrative Sciences
Kimberly K Daugherty, PharmD BCPS
Assistant Dean, Academic Affairs and Assessment
Objectives
 Describe how to use ExamSoft reports to pull data
needed for a faculty teaching scorecard
 Explain how faculty scorecards can be used to help
faculty identify how their item writing compares to
their peers
 Discuss how the report cards can be interpreted and
how they can be used
 Describe how the report cards are organized and
presented to the faculty member
College Info
 Three year accelerated program
 Four quarter curriculum
 Academic Year July –June
 Graduated 1st class 2011
 Private Institution
 Career-based university
 Teaching focus
 Two departments
 30 Clinical and
Administrative Sciences
faculty
 11 Pharmaceutical Sciences
faculty
FACULTY EVALUATION
Background
 CAS Department: 45% of promotion criteria is
excellence in teaching
 Need for faculty feedback and development
 New college of pharmacy
 ”Young faculty”
 Prior to 2014, annual evaluation based on
 (1) self-evaluation and
 (2) student survey data
Assessment of teaching excellence
 Data from students and alumni (Subjective)
 Student Surveys
 Focus Groups
 Data from peers (Subjective/Objective)
 Classroom Observation
 Materials review
 Assessment review
 Self-assessment and reflection (Subjective/Objective)
 Reflections
 Student Performance
*P.Piascik et al./Currents in Pharmacy Teaching and Learning 3 (2011) 238-248
Faculty Teaching
Scorecard
Strongly
Agree
Agree Disagree
Strongly
Disagree
Unable to
Comment
18. The performance
feedback I receive is
effective. (“effective”
changed to
“constructive” 2016)
2013 21.7% (5) 60.9% (14) 17.4% (4) 0.0% (0) 0.0% (0)
2014 20.7% (6) 69.0% (20) 6.9% (2) 3.4% (1) 0.0% (0)
2015 39.3% (11) 57.1% (16) 0.0% (0) 0.0% (0) 3.6% (1)
2016 37.8% (14) 56.8 (21) 5.4% (2) 0.0% (0) 0.0% (0)
National 25.8% (789) 50.0% (1527) 13.7% (419) 4.3% (131) 6.2% (190)
AACP Faculty Survey
Using ExamSoft to create objective data
 All quizzes and examinations in Examsoft are tagged by:
 SUCOP outcome
 Curriculum topic
 Faculty Name
 Blooms taxonomy
 Item analysis is conducted after each examination to determine
if questions should be rescored:
 Exam Average
 Low and high exam scores
 Point biscerals
 Difficulty index
 Item analysis data can also be used to help develop faculty
exam writing skills.
http://university.examsoft.com/h/i/218895432-evaluating-the-statistics/233580
Item analysis
 Difficulty Index (0.00-1.00): The difficulty index
measures the proportion of Exam Takers who
answered an item correctly. A higher value indicates
a greater proportion of Exam Takers responded to an
item correctly. A lower value indicates that fewer
exam takers got the question correct.
 SUCOP rules for question review: questions are
reviewed for potential rescoring if they have a
difficulty level of 0.60
Item analysis
 Point Bi-Serial (-1.00-1.00): The point bi-serial
measures the correlation between an Exam Taker's
response on a given item and how the Exam Taker
performed on the overall exam.
 SUCOP rules for question rescoring:
 0.30 and up is considered a very good item and is not
rescored unless the difficulty index is below about 0.30
 0.20-0.29 is considered a reasonably good question that
may only need minor adjustment and is reviewed for
potential rescoring
 <0.20 is considered marginal to poor and is usually rescored
or full credit given
39
19
13
10
6
15
0
5
10
15
20
25
30
35
40
45
> 90% 80-90% 70-80% 60-70% 50-60% <50%
Percentageofcorrectanswers
Difficulty level of question
Percentage of total questions that exam takers got correct
CAS Faculty Average
How our faculty write questions
39
76
79
81
74
39
57
0
10
20
30
40
50
60
70
80
90
>90% 80-90% 70-80% 60-70% 50-60% <50% Total
Percentageofpb>0.2
Difficulty level of question
Percentage of questions with point bi-serial of > 0.2
CAS Faculty Average
How our faculty write questions
26
18
13
18
11
19
39
19
13
10
6
14
0
5
10
15
20
25
30
35
40
45
> 90% 80-90% 70-80% 60-70% 50-60% <50%
Percentageofcorrectanswers
Difficulty level of question
Percentage of total questions that exam takers got correct
"Hard" Item Writer Average
“Hard” item writer
40
31
13
10
2
7
39
19
13
10
6
14
0
5
10
15
20
25
30
35
40
45
> 90% 80-90% 70-80% 60-70% 50-60% <50%
Percentageofcorrectanswers
Difficulty level of question
Percentage of total questions that exam takers got correct
"Easy" Item Writer Average
“Easy” item writer
40
84
88 90
100
33
64
39
76
79 81
74
39
56
0
20
40
60
80
100
120
>90% 80-90% 70-80% 60-70% 50-60% <50% Total
Percentageofpb>0.2
Difficulty level of question
Percentage of questions with point bi-serial of > 0.2
"Good" Item Writer CAS Faculty Average
Example of good item writer
across all difficulty levels
27
58
73
48
52
38
46
39
76
79
81
74
39
56
0
10
20
30
40
50
60
70
80
90
>90% 80-90% 70-80% 60-70% 50-60% <50% Total
Percentageofpb>0.2
Difficulty level of question
Percentage of questions with point bi-serial of > 0.2
"Poor" Item Writer CAS Faculty Average
Example of poor item writer
across all difficulty levels
22
66
50
75
71
60
68
39
76
79
81
74
39
56
0
10
20
30
40
50
60
70
80
90
>90% 80-90% 70-80% 60-70% 50-60% <50% Total
Percentageofpb>0.2
Difficulty level of question
Percentage of questions with point bi-serial of > 0.2
"Mixed" Item Writer CAS Faculty Average
Example of item writer with bad “easy”
questions and good “hard” questions
Example of feedback
Analysis of Data
Your total # of questions: 348
It appears you are still writing more difficult
items than your peers and they are not
performing as well. Item writing should be on
your faculty development plan for this year.
HOW TO RETRIEVE DATA IN
EXAMSOFT
Total number of items written
Determine range of difficulty
Determine point bi-serial
For this faculty
• 20% of total items range in 80-90% difficulty
• 93% of those questions are >0.2 point bi-
serial
LIMITATONS
Limitations
 Tag questions appropriately
 Entering questions for another writer
 Limited number of questions for some faculty
 Items that are not analyzed. (Fill in blank,
essay, etc.)
 Mix of summative and formative assessments
Future Scorecards
 Tie questions to Blooms Taxonomy
 Faculty self-assessment to create faculty
development plan
Questions

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Using ExamSoft Data for Item Revision and Faculty Development

  • 1. 1 Using ExamSoft Data for Faculty Development Misty M Stutz, PharmD and Kimberly K Daugherty, PharmD BCPS Sullivan University College of Pharmacy Thank you for joining. The webinar will begin shortly.
  • 2. 2 Please pose questions to the presenter through the “Questions” field of the Go To Webinar tool on the right side of your screen. All questions will be addressed at the conclusion of the presentation.
  • 3. Using ExamSoft Data for Faculty Development Misty M Stutz, PharmD Chair, Clinical and Administrative Sciences Kimberly K Daugherty, PharmD BCPS Assistant Dean, Academic Affairs and Assessment
  • 4. Objectives  Describe how to use ExamSoft reports to pull data needed for a faculty teaching scorecard  Explain how faculty scorecards can be used to help faculty identify how their item writing compares to their peers  Discuss how the report cards can be interpreted and how they can be used  Describe how the report cards are organized and presented to the faculty member
  • 5. College Info  Three year accelerated program  Four quarter curriculum  Academic Year July –June  Graduated 1st class 2011  Private Institution  Career-based university  Teaching focus  Two departments  30 Clinical and Administrative Sciences faculty  11 Pharmaceutical Sciences faculty
  • 7. Background  CAS Department: 45% of promotion criteria is excellence in teaching  Need for faculty feedback and development  New college of pharmacy  ”Young faculty”  Prior to 2014, annual evaluation based on  (1) self-evaluation and  (2) student survey data
  • 8. Assessment of teaching excellence  Data from students and alumni (Subjective)  Student Surveys  Focus Groups  Data from peers (Subjective/Objective)  Classroom Observation  Materials review  Assessment review  Self-assessment and reflection (Subjective/Objective)  Reflections  Student Performance *P.Piascik et al./Currents in Pharmacy Teaching and Learning 3 (2011) 238-248
  • 10. Strongly Agree Agree Disagree Strongly Disagree Unable to Comment 18. The performance feedback I receive is effective. (“effective” changed to “constructive” 2016) 2013 21.7% (5) 60.9% (14) 17.4% (4) 0.0% (0) 0.0% (0) 2014 20.7% (6) 69.0% (20) 6.9% (2) 3.4% (1) 0.0% (0) 2015 39.3% (11) 57.1% (16) 0.0% (0) 0.0% (0) 3.6% (1) 2016 37.8% (14) 56.8 (21) 5.4% (2) 0.0% (0) 0.0% (0) National 25.8% (789) 50.0% (1527) 13.7% (419) 4.3% (131) 6.2% (190) AACP Faculty Survey
  • 11. Using ExamSoft to create objective data  All quizzes and examinations in Examsoft are tagged by:  SUCOP outcome  Curriculum topic  Faculty Name  Blooms taxonomy  Item analysis is conducted after each examination to determine if questions should be rescored:  Exam Average  Low and high exam scores  Point biscerals  Difficulty index  Item analysis data can also be used to help develop faculty exam writing skills. http://university.examsoft.com/h/i/218895432-evaluating-the-statistics/233580
  • 12. Item analysis  Difficulty Index (0.00-1.00): The difficulty index measures the proportion of Exam Takers who answered an item correctly. A higher value indicates a greater proportion of Exam Takers responded to an item correctly. A lower value indicates that fewer exam takers got the question correct.  SUCOP rules for question review: questions are reviewed for potential rescoring if they have a difficulty level of 0.60
  • 13. Item analysis  Point Bi-Serial (-1.00-1.00): The point bi-serial measures the correlation between an Exam Taker's response on a given item and how the Exam Taker performed on the overall exam.  SUCOP rules for question rescoring:  0.30 and up is considered a very good item and is not rescored unless the difficulty index is below about 0.30  0.20-0.29 is considered a reasonably good question that may only need minor adjustment and is reviewed for potential rescoring  <0.20 is considered marginal to poor and is usually rescored or full credit given
  • 14.
  • 15. 39 19 13 10 6 15 0 5 10 15 20 25 30 35 40 45 > 90% 80-90% 70-80% 60-70% 50-60% <50% Percentageofcorrectanswers Difficulty level of question Percentage of total questions that exam takers got correct CAS Faculty Average How our faculty write questions
  • 16. 39 76 79 81 74 39 57 0 10 20 30 40 50 60 70 80 90 >90% 80-90% 70-80% 60-70% 50-60% <50% Total Percentageofpb>0.2 Difficulty level of question Percentage of questions with point bi-serial of > 0.2 CAS Faculty Average How our faculty write questions
  • 17. 26 18 13 18 11 19 39 19 13 10 6 14 0 5 10 15 20 25 30 35 40 45 > 90% 80-90% 70-80% 60-70% 50-60% <50% Percentageofcorrectanswers Difficulty level of question Percentage of total questions that exam takers got correct "Hard" Item Writer Average “Hard” item writer
  • 18. 40 31 13 10 2 7 39 19 13 10 6 14 0 5 10 15 20 25 30 35 40 45 > 90% 80-90% 70-80% 60-70% 50-60% <50% Percentageofcorrectanswers Difficulty level of question Percentage of total questions that exam takers got correct "Easy" Item Writer Average “Easy” item writer
  • 19. 40 84 88 90 100 33 64 39 76 79 81 74 39 56 0 20 40 60 80 100 120 >90% 80-90% 70-80% 60-70% 50-60% <50% Total Percentageofpb>0.2 Difficulty level of question Percentage of questions with point bi-serial of > 0.2 "Good" Item Writer CAS Faculty Average Example of good item writer across all difficulty levels
  • 20. 27 58 73 48 52 38 46 39 76 79 81 74 39 56 0 10 20 30 40 50 60 70 80 90 >90% 80-90% 70-80% 60-70% 50-60% <50% Total Percentageofpb>0.2 Difficulty level of question Percentage of questions with point bi-serial of > 0.2 "Poor" Item Writer CAS Faculty Average Example of poor item writer across all difficulty levels
  • 21. 22 66 50 75 71 60 68 39 76 79 81 74 39 56 0 10 20 30 40 50 60 70 80 90 >90% 80-90% 70-80% 60-70% 50-60% <50% Total Percentageofpb>0.2 Difficulty level of question Percentage of questions with point bi-serial of > 0.2 "Mixed" Item Writer CAS Faculty Average Example of item writer with bad “easy” questions and good “hard” questions
  • 22. Example of feedback Analysis of Data Your total # of questions: 348 It appears you are still writing more difficult items than your peers and they are not performing as well. Item writing should be on your faculty development plan for this year.
  • 23. HOW TO RETRIEVE DATA IN EXAMSOFT
  • 24.
  • 25.
  • 26. Total number of items written
  • 27. Determine range of difficulty
  • 29. For this faculty • 20% of total items range in 80-90% difficulty • 93% of those questions are >0.2 point bi- serial
  • 31. Limitations  Tag questions appropriately  Entering questions for another writer  Limited number of questions for some faculty  Items that are not analyzed. (Fill in blank, essay, etc.)  Mix of summative and formative assessments
  • 32. Future Scorecards  Tie questions to Blooms Taxonomy  Faculty self-assessment to create faculty development plan