Questão 1
Questão
What are constructs?
Responda
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Unobservable, underlying already existing traits or characteristics that we can try and measure directly using tests
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Observable, underlying hypothetical traits or characteristics that we can try and measure indirectly using tests
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Observable, underlying already existing traits or characteristics that we can try and measure indirectly using tests
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Unobservable, underlying hypothetical traits or characteristics that we can try and measure indirectly using tests
Questão 2
Questão
Statement 1: construct under-representation is the variation in an underlying construct that that is not captured by the measure
Statement 2: construct irrelevant variance is the variance that is not related to to the construct that is captured by the measure
Questão 3
Questão
Statement 1: opinion-base validity measures include face and content validity
Statement 2: a measure with high validity has a small overlap between construct under-representation and construct irrelevant variance
Questão 4
Questão
Statement 1: tests may have good face validity without any actual validity
Statement 2: tests may have poor face validity while still having good actual validity
Questão 5
Questão
What type of validity is the following example demonstrating: a 3020 exam could have reasonable empirically-based validity without actually including any PSYC3020 content
Responda
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Content validity
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Face validity
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Criterion validity
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Convergent validity
Questão 6
Questão
How is content validity measured?
Responda
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By getting novices and experts to both take the tests and comparing the differences
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By getting the test-takers to rate how relevant the measure is to the construct
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By getting experts to rate each question
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By doing a factor analysis
Questão 7
Questão
Statement 1: measurements that are reliable are also valid
Statement 2: on the other hand, one can have a valid test if it is unreliable
Questão 8
Questão
What is the difference between non-random attrition and self-selection?
Responda
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Non-random attrition: certain types of people dropping out of a longitudinal study
Self-selection: only certain types of people are in your sample in the first place
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Non-random attrition: different types of people dropping out of a longitudinal study
Self-selection: random selection of people are in your sample
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Non-random attrition: only certain types of people are in your sample in the first place
Self-selection: certain types of people dropping out of a longitudinal study
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Non-random attrition: random selection of people are in your sample
Self-selection: certain types of people dropping out of a cross-sectional study
Questão 9
Questão
Statement 1: two factors that restrict the range of scores in a validity study is non-random attrition and self-selection
Statement 2: the validity coefficient always has to be above .70
Questão 10
Questão
Statement 1: in criterion validity a method of contrasted groups is defined as test scores of groups of people varying as expected
Statement 2: criterion validity involves a 'criterion' that is a standard against which a test is evaluated
Questão 11
Questão
What is criterion contamination?
Responda
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The criterion that is being used to assess validity undermines the logic of criterion validity because the test scores of groups of people did not vary as expected
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The criterion that is being used to assess validity undermines the logic of criterion validity because it failed to achieve high ratings from experts
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The criterion that is being used to assess validity is determined after the test has been taken which undermines the logic of criterion validity
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The criterion that is being used to assess validity is pre-determined by the test which undermines the logic of criterion validity
Questão 12
Questão
Statement 1: Concurrent validity is where a number of different predictors (tests) are used together
Statement 2: it is unimportant for both the test and its criterion to have decent reliability because the reliability is irrelevant to the size of the validity coefficient
Questão 13
Questão
Statement 1: incremental validity is how much each individual predictor adds to predicting the criterion in addition to the effect of other predictors
Statement 2: predictive validity is a subset of criterion validity where the test is trying to predict what the criterion will be at some future time
Questão 14
Questão
Statement 1: There is no difference between discriminant and divergent validity
Statement 2: for incremental validity if two predictors are highly correlated then you should include both as each one is adding predictive power beyond the other
Questão 15
Questão
Statement 1: convergent validity is when test scores correlated with other measures of the same thing
Statement 2: discriminant/divergent validity is when tests scores do not correlate highly with measures that are not supposed to measure the same construct
Questão 16
Questão
What is the Wechsler Intelligence Scale for Children (WISC-IV)?
Responda
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A test designed for children aged 10+ which contains 10 core subtests arranged into two groups (verbal comprehension, perceptual reasoning)
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A test designed for children aged 10+ which contains 10 core subtests arranged into four groups (verbal comprehension, perceptual reasoning, long-term memory, processing speed)
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A test designed for children aged 6-16 which contains 10 core subtests arranged into two groups (long-term memory, processing speed)
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A test designed for children aged 6-16 which contains 10 core subtests arranged into four groups (verbal comprehension, perceptual reasoning, working memory, processing speed)
Questão 17
Questão
What is factor analysis?
Responda
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Mathematical techniques are used to group items into clusters on the basis of how much they fail to correlate with each other
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Mathematical techniques are used to group items into clusters on the basis of how much they correlate with each other referred to as internal structure
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Mathematical techniques are used to group items into clusters on the basis of how much they correlate with each other and most of the time produce high correlations
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Mathematical techniques are used to group items into clusters on the basis of how much they correlate with each other and most of the time produce low correlations