Module 4: Utility Flashcards

1
Q

Utility

A

usefulness or practical value of testing to improve efficiency

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2
Q

What can utility identify?

A

can tell us something about the practical value of the information derived from scores on the test

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3
Q

What can utility help with?

A

Helps us make better decisions

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4
Q

What makes higher utility?

A

Higher criterion-related validity = higher utility

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5
Q

What is one of the most basic elements in utility analysis?

A

One of the most basic elements in utility analysis is financial cost of the selection device

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6
Q

Cost

A

disadvantages, losses, or expenses both economic and noneconomic terms

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7
Q

Benefit

A

profits, gains or advantages

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8
Q

When does the cost of test administration become worth it?

A

The cost of test administration can be well worth it if the results is certain noneconomic benefits

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9
Q

Utility Analysis

A

family of techniques that entail a cost-benefit analysis designed to yield information relevant to a decision about the usefulness and/or practical value of a tool of assessment

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10
Q

Expectancy table

A

provide an indication that a testtaker will score within some interval of scores on
a criterion measure – passing, acceptable, failing

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11
Q

What might utility predict?

A

Might indicate future behaviors, then if successful, the test is working as it should

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12
Q

Taylor-Russel Tables

A

provide an estimate of the extent to which inclusion of a particular test in the selection system will improve selection

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13
Q

Selection Ratio

A

numerical value that reflects the relationship between the number of people to be hired and the number of people available to be hired

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14
Q

Selection Ratio Formula

A

number of hired candidates / total number of candidates

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15
Q

Base Rate

A

percentage of people hired under the existing system for a particular position

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16
Q

What is one limitation of Taylor-Russel Tables?

A

One limitation of Taylor-Russel Tables is that the relationship between the predictor (test) and criterion must be linear

17
Q

Naylor-Shine Tables

A

entails obtaining the difference between the means of the selected and unselected groups to derive an index of what the test
is adding to already established procedures

18
Q

Brogden-Cronbach-Gleser Formula

A

used to calculate the dollar amount of a utility gain resulting from the use of a particular selection instrument

19
Q

Utility Gain

A

estimate of the benefit of using a particular test

20
Q

Productivity Gains

A

an estimated increase in work output

21
Q

What does it mean when a job is more complex?

A

The more complex the job, the more people differ on how well or poorly they do that job

22
Q

Cut Score

A

reference point derived as a result of a
judgement and used to divide a set of data into two or more classifications

23
Q

Types of Cut Scores

A
  1. Relative Cut Score
  2. Fixed Cut Scores
  3. Multiple Cut Scores
  4. Multiple Hurdle
  5. Compensatory Model of Selection
24
Q

Relative Cut Score

A

reference point based on norm-related considerations (norm-referenced), not fixed per se

25
Q

Fixed Cut Scores

A

set with reference to a judgement
concerning minimum level of proficiency required

e.g., Board Exams

26
Q

Multiple Cut Scores

A

refers to the use of two or more cut scores with reference to one predictor for the purpose of categorization

27
Q

Multiple Hurdle

A

multi-stage selection process, a cut score is in place for each predictor

28
Q

Compensatory Model of Selection

A

assumption that high scores on one attribute can compensate for lower scores

29
Q

Angoff Method

A

+ setting fixed cut scores
+ low interrater reliability
+ requires expert judges to discuss the issues involved in determining a pass mark and to evaluate the examination by using a well-defined and rational procedure

30
Q

Known Groups Method

A

+ collection of data on the predictor of interest from group known to possess
and not possess a trait of interest
+ the determination of where to set cutoff score is inherently affected by the composition of contrasting groups

31
Q

IRT-Based Methods

A

cut scores are typically set based on testtaker’s performance across all the items on the test

32
Q

Types of IRT-Based Methods

A
  1. Item-Mapping Method
  2. Bookmark Method
33
Q

Item-Mapping Method

A

arrangement of items in histogram, with each column containing items with deemed to be equivalent value

34
Q

Bookmark Method

A

expert places “bookmark” between the two pages that are deemed to separate testtakers who have acquired the minimal knowledge, skills, and/or abilities from those who are not

35
Q

Method of Predictive Yield

A

took into account the number of positions to be filled, projections regarding the likelihood of offer acceptance, and the distribution of applicant scores

36
Q

Discriminant Analysis

A

shed light on the relationship between identified variables and two naturally occurring groups

37
Q

What is discriminant analysis used for?

A

used by the researcher to analyze the research data when the criterion or the dependent variable is categorical and the predictor or the independent variable is interval in nature

38
Q

What does discriminant analysis enable?

A

enables the researcher to examine whether significant differences exist among the groups, in terms of the predictor variables

39
Q

What does the discriminant analysis identify?

A

identify two groups of people who represent two distinct categories of some trait