Final - Item Response Theory (Reise et al.) Flashcards

1
Q

What are 2 key limitations of classical test theory?

A
  • interpretation of true score is test and sample dependent
  • reliability of true score is a function of items used (assumes all items are interchangeable which we can’t rly assume)
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2
Q

What are the 4 assumptions of IRT?

A
  • true score defined on latent trait dimension rather than observed score
  • knowing the properties of the item a person endorses tells us the trait level the person possesses (items characterized using same latent trait dimension used to characterize ppl)
  • properties of item don’t change if we administer item using different samples
  • true score does not change regardless of which set of items is administered
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3
Q

IRT is a family of _____ that describe the probability of _____ as a function of _____

A
  • family of mathematical models
  • prob of a given response to an item as a function of certain item properties and respondent true score
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4
Q

The probability of an item endorsement across the range of true scores is represented by a function called _____

A

item response function

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5
Q

What is the item characteristic curve (ICC)?

A
  • plot of IRF (equation relating theta/true score to prob of endorsing an item)
  • x-axis = theta/latent trait
  • y-axis = probability of item endorsement
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6
Q

What does it mean that the item characteristic curve is monotonic?

A
  • prob of item endorsement increases w increases in theta
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7
Q

In the middle of the ICC, changes in theta correspond to (large/small) changes in probability relative to the ends of ICC

A

LARGE (steeper in middle)

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8
Q

ICC is limited by ___ and ___

A

0 and 1 (probability is bound by 0-1)

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9
Q

What is item difficulty (b)?

A
  • point on theta where probability of item endorsement is 50%
  • draw a horizontal line from 0.5, b is where line intersects w curve
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10
Q

Item difficulty (b) typically ranges between __ and __

A

-2 and 2

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11
Q

What does it mean if:
- b is negative
- b is positive
- theta > b
- theta < b
- theta = b

A
  • b is negative: easier item (more freq endorsed)
  • b is positive: difficult item (less freq endorsed)
  • theta > b: item more likely to be endorsed
  • theta < b: item less likely to be endorsed
  • theta = b: 50% chance of item being endorsed
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12
Q

What is item discrimination (a)?

A
  • value of slope at steepest point of curve (when b = 1)
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13
Q

item discrimination (a) typically ranges between __ and __

A

.5 and 1.5

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14
Q

Highly discriminating items have (smaller/steeper) slopes
Poorly discriminating items have (smaller/steeper) slopes

A
  • highly: steeper slopes
  • poorly: smaller slopes
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15
Q

What is the ITEM information curve?

A
  • how well an item differentiates among respondents who are at diff levels of latent variable
  • basically how well are items doing their job at assessing the true score
  • item diff: location on latent trait where info is maximized
  • item discr: how much info item provides
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16
Q

What is the TEST information curve (TIC)?

A
  • relative precision of scale across diff locations of theta
  • height proportional to SEM (inversely related)
  • want curve high for entire range of theta (think table)
17
Q

(T/F) SEM is the same across all latent trait values

A

FALSE, different for every value of theta

18
Q

in IRT, what are the 2 ways items vary?

A

difficulty and discrimination

19
Q

the location on the curve where items provide the most information is at ____

A

theta = b

20
Q

What are the 5 ways IRT helps us improve psychological tests?

A
  • IDENTIFY item characteristics (eg difficulty, discr.)
  • CHOOSE items w higher discrimination covering entire range of latent continuum
  • INCREASE reliability w fewer items
  • COMPARE items across diff measures of same construct
  • COMPARE group differences
21
Q

What are the 2 primary applications of IRT?

A
  • improving existing measures
  • detecting differential item functioning
22
Q

What is differential item functioning (DIF)?

A
  • assesses whether there is measurement equivalency btw 2 or more groups
  • examination of group diffs in item responses when controlling for latent trait (groups should be equal on theta)
23
Q
A