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psychological test
measurement instrument that attempts to measure personal attributes in understanding/describing human behavior
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Three characteristics of Psychological Tests
- 1. sample of behavior
- 2. obtained under standardized conditions
- 3. established rules for scoring
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Types of psychological tests
performance, behavioral observations, self-reports
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Scoring Rules
describe subject behavior in response to test in quantitative/numerical terms
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Objective Scoring
2 people with the same set of scoring rules applied will arrive at the same score
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Subjective Scoring
relies on examiner judgement
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Types of Decisions - Individual Decisions
benefits and societal concerns
test results influence individual's actions
- benefit - feedback, guides for decision making
- concerns - testing can have undue impact
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Types of Decisions - Institutional Decisions
benefits and concerns
results used by organizations for placement purposes
- benefits - can be used for employment
- concerns - accuracy and fairness questionable
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Types of Decisions - Comparative
selection of individuals from a group of test takers
ex. employment test
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Types of Decisions - Absolute
based on single person on test based on demonstration of mastery
ex. promotion testing
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What are the THREE PRIMARY ISSUES of testing?
- 1. impact of ability testing
- 2. fair use of tests and outcomes
- 3. invasion of privacy and confidentiality
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Bias
difference in scores that aren't attributed to the construct
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Impact
group mean difference after removal of potential bias
reflect REAL differences on the construct
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Tests are most likely to be called "unfair" when:
- 1. there are obstacles for some groups (ex. gender, physically/mentally impaired)
- 2. they are the SOLE basis for decisions
- 3. poor performance = harsh consequences
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Ways to make tests more "fair":
multiple assessment procedures, hurdle system, compensatory system
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Ways to make tests more "fair": Hurdle System
multi-stage decision model with more intensive screening for some groups
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Ways to make tests more "fair": Compensatory System
low performance in one area can be made up for by high performance in another
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Americans with Disabilities Act (ADA)
requires "reasonable accommodation" when testing/employing disabled individuals
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What is a STAKEHOLDER and who are the two most common stakeholders?
individuals directly affected by decisions of tests
most common: test-takers, test-developers
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Concerns of Test-developers
fairness from institutional perspective
comparative decisions
success of test and long-term results
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Concerns of Test-Takers
personal consequences
absolute decisions
cost-effectiveness and short-term results
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What are the 4 Levels of Measurement?
Nominal, Ordinal, Interval, Ratio
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Nominal Measurement
numbers or labels to identify objects, persons, groups
ex. football player jersey numbers
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Ordinal Measurement
rank order - order of numbers correspond to order of objects (not mathematically manipulated)
ex. school percentiles
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Interval Measurement
uses equal units for differences in which objects are ordered
ex. temperature
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Ratio Measurement
meaningful differences using an absolute zero
can be mathematically manipulated
ex. money
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Central Tendency
a statistical measure to determine a single score that defines the center of distribution
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Mode
the most frequently occurring value in a data set (can be more than one)
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Symmetric vs. Skewed Distributions
symmetric - mirror images
skewed - asymmetrical; median used for measure of central tendency
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Deviation Score
deviation score = mean - each person's score
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Variability:
definition
what determines it?
types of measures
the extent to which scores in a distribution differ from one another
determined by the amount that values differ from the mean
types of measures: range, variance, standard deviation
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Variability - Variance
indicates how far individual values are from the expected value (mean)
average of the SQUARED deviation scores
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Large vs. Small Variance
Large - individuals differ in score and from each other
Small - individuals are similar
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Steps in Computing Variance
- 1. COMPUTE the MEAN
- 2. SUBTRACT the mean from every observed value
- 3. SQUARE the values and SUM them
- 4. DIVIDE the sum by the NUMBER OF VALUES
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Standard Deviation
square root of the variance
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Covariance
the extent to which two variables are systematically related, quantitative estimates
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