46-320-01 Tests and Measurements - PowerPoint PPT Presentation

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46-320-01 Tests and Measurements

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Cons: memorization, chance of being correct. Item Format. Polytomous format. More than two alternatives. Pros: less chance guessing, fast time, distractors ... – PowerPoint PPT presentation

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Title: 46-320-01 Tests and Measurements


1
46-320-01Tests and Measurements
  • Intersession 2006

2
Writing Items
  • DeVellis (1991)
  • Define
  • Item Pool
  • Avoid long items
  • Appropriate level of reading
  • Avoid double-barreled items
  • Mix positively and negatively worded items
  • Cultural/ethnic sensitivity

3
Item Format
  • Dichotomous format
  • Two alternatives
  • Pros Ease of construction and scoring, absolute
    judgment
  • Cons memorization, chance of being correct

4
Item Format
  • Polytomous format
  • More than two alternatives
  • Pros less chance guessing, fast time,
    distractors
  • Corrected scores
  • Guessing?

5
Item Format
  • Likert format
  • Degree of agreement
  • Five alternatives vs. six
  • Reverse scoring
  • Category format
  • 10-point scale why 10?
  • Remember context
  • Visual Analogue scale
  • 100 cm line

6
Item Format
  • Checklist
  • Usually adjectives
  • Q-Sort
  • Increases options (9)
  • Form normal distribution

7
Item Analysis
  • Purpose shorten a test and increase reliability
    and validity
  • Item difficulty
  • Proportion who get the item correct
  • Probability of chance
  • Optimum level
  • Variable difficulty (0.3 to 0.7)
  • Internal criteria test score

8
Discriminability
  • Extreme group method
  • Discrimination index
  • Negative discriminator
  • Point Biserial method
  • Small test n
  • Higher correlation, better the item

9
Discrimination
Item U (20) M (20) L (20) Difficulty (UML) Discrimination (U-L)
1 15 9 7 31 8
2 20 20 16 56 4
3 19 18 9 46 10
4 10 11 16 37 -6
5 11 13 11 35 0
6 16 14 9 39 7
7 5 0 0 5 5
10
Table Explained
  • Class n 60
  • Discrimination rough index U L
  • Item Difficulty U M L
  • Items
  • 2 too easy
  • 7 too difficult
  • 4 5 negative discriminative value

11
Further Item Analysis
Response Options Response Options Response Options Response Options Response Options
Item Group 1 2 3 4 5
2 Upper Lower 0 2 0 0 0 1 20 16 0 1
4 Upper Lower 0 2 10 16 9 2 0 0 1 0
5 Upper Lower 2 1 3 3 3 3 11 11 2 2
7 Upper Lower 5 0 3 5 5 8 4 3 3 4
12
Discrimination Index Percentages
Percent Passing Percent Passing Index of Discrimination (D)
Item Upper Lower Index of Discrimination (D)
1 75 35 40
2 100 80 20
3 95 45 50
4 50 80 -30
5 55 55 0
6 80 45 35
7 25 0 25
13
Item Characteristic Curve
  • X axis total test score (trait estimate)
  • Y axis proportion of test-takers with the item
    correct
  • Often use class intervals

14
Discriminability
  • Best scenario

15
Item Response Theory
  • Each item has an item characteristic curve
  • Specific range of difficulty can be identified
    with a test characteristic curve
  • Difficulty and discriminability
  • Sample items
  • Peaked conventional vs. rectangular conventional
    vs. adaptive

16
Criterion-Referenced Tests
  • Specify objectives aids learning
  • Give test to two groups
  • Exposed vs. not
  • Antimode cutting score
  • Any problems with this?

17
Test Manuals
  • Proprietary - qualifications
  • Nonproprietary
  • Standards for Educational and Psychological
    Testing
  • reflects changes in federal law and measurement
    trends affecting validity
  • testing individuals with disabilities or
    different linguistic backgrounds
  • new types of tests as well as new uses of
    existing tests

Taken from apa.org
18
Test Manuals
  • Should include
  • How to administer (standard conditions)
  • How to score
  • How to interpret
  • Information on reliability, validity, norms
  • Be critical!

19
Base Rates and Hit Rates
  • What does this test contribute beyond what is
    already know?
  • Cutting score not necessarily correct decision
  • Hit rate vs. base rate comparison
  • False negatives and false positives

20
Taylor-Russell Tables
  • What does the test contribute beyond base?
  • Need
  • Definition of success
  • Base rate
  • Selection ratio
  • Test validity coefficient
  • Determines likelihood someone selected on basis
    of test will succeed

21
Taylor-Russell Tables
Source Fisher, Schoenfeldt, Shaw (2003), Table
7.2
22
Taylor-Russell Tables
  • Best validity high, selection rate low
  • Bad validity low, selection rate high
  • Useless no validity
  • Selecting low scorers?

23
Incremental Validity
  • Unique information from using a test
  • Predicting future behavior and self-ratings
  • Prediction should consider
  • Simpler method?
  • Less expensive method?
  • Less subject strain?

24
Mental Measurements Yearbook
  • Test reviews
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