Week 4 Test Development Flashcards

1
Q

Define test conceptualisation

A

Starts with a question.
1. Review the literature - relevant theories/ constructs, definition, parameter setting

  1. Obtain a clear, theory-informed conceptualisation and definition of the target construct
  2. Develop an initial item pool
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2
Q

Define test construction

A

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3
Q

Define tryout

A

Administering the test on a representative sample using standardised instructions.

Data from the test tryout used to narrow down number of items

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4
Q

What are 6 writing guidelines in test construction?

A

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5
Q

What are 8 writing guidelines in test construction?

A

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6
Q

What are the four types of scales used in psychological test construction?

A

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7
Q

What are the pros/cons of Likert scales?

A
Pros
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8
Q

What are the two types of response formats in test construction?

A
  • Likert

- B. C S

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9
Q

What are the pros/cons of Likert scales?

A
Pros
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10
Q

What are the pros/cons of binary choice scales?

A
Pros
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11
Q

What are the 4 types of response formats in test construction?

A
  • Likert
  • B. C S
  • P. C
  • C. S
  • E or W
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12
Q

What are the pros/cons of binary choice scales?

A
Pros
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13
Q

What are the pros/cons of essay/ written format tests?

A

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cons
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14
Q

What are the 3 benefits of having an expert review an initial item pool before administering to the target sample?

A
  • confirm/invalidate definition of construct by asking…
  • evaluate the items c___ and c___
  • identify other
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15
Q

Articulate the criteria that assess whether an item is a ‘good item’

A

good test items = good tests
achieved through item analysis.

criteria:

  • reliability
  • validity
  • discriminates at different level of trait/ability
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16
Q

Articulate the criteria that assess whether an item is a ‘good item’

A

good test items = good tests
achieved through item analysis.

criteria:

  • reliability
  • validity
  • discriminates at different level of trait/ability
17
Q

What are the item properties which you may investigate when trying to assess whether an item is a ‘good item’?

A
  • item difficulty/ distribution
  • ## --
18
Q

what is the formula for item difficulty index?

what does a high index mean?

What must also be considered when looking at optimal item difficulty index?

A

formula:
item difficulty index = examines who answered correctly/ total number of examinees

index= range between 0 & 1

high index =

consideration: probability of ___

19
Q

Binary choice scales (BCS)(true/false) have a high probability of one guessing the item correctly (0.5 out of 1 on the item difficulty-index).

a) What is an optimal item-difficulty index for BCS?

A

a) 0.75 out of 1 on the item-difficulty index. It is better to set the optimal item-difficulty index higher because more people w4

20
Q

Binary choice scales (BCS)(true/false) have a high probability of one guessing the item correctly (0.5 out of 1 on the item difficulty-index).

a) What is an optimal item-difficulty index for BCS?

A Multiple Choice Question test with 4 items has a item difficulty index of 0.25/ 1.

b) What is an optimal item-difficulty index for multiple choice questions?

A

a) 0.75 out of 1 on the item-difficulty index. It is better to set the optimal item-difficulty index higher because test takers have a high chance (0.5) of guessing correctly.
b) 0.625. It is lower because MCQ takers have a lower probability of guessing correctly (0.25/1)

21
Q

In item analysis, there is an item property called dimensionality (factor analysis). Why would you use it?

A

Having a set of items doesn’t mean you have a scale

  • items may not have underlying variable OR
  • they may have multiple underlying variables
22
Q

What can factor analysis help with?

A
  • determining the # of underlying latent variables or constructs
  • help condense information
  • define content or meaning of factors
  • identify that are performing better/worse e.g. items which don’t fit into any factor/fit into multiple –> elimination
23
Q

What are the factor analysis decisions

A

number of factors to extract

  • Eigenvalues (>1)
  • Scree plot

Rotation

  • helps interpret the data
  • oblique: assumes factors are correlated
  • Orthogonal: assumes factors uncorrelated
24
Q

How is item reliability measured?

A

measures internal consistency of test

25
Q

How is item reliability measured?

A

measures internal consistency of test

  • item-discrimination index
  • item-characteristic curve
26
Q

When a test developer is deciding to retain or delete an item, is poor performance on ONE task/ aspect of item analysis sufficient enough to delete the item?

A

no

27
Q

What is an indication of item with good a good item-characteristic curve?

A

e.g. individuals with a low ability score lowly, moderate ability score in the middle range and those with a high ability score highly on a test.

28
Q

In the final stage of test development, test revision, one must undergo cross validation. what is cross validation?

A

administering revised test in another population to determine its applicability for this population.

it is a test of validity. sometimes validity shrinkage occurs