Week 4 lecture Flashcards

(32 cards)

1
Q

internal consistency

A

measured by cronbachs alpha and is measuring how related items within a test are to each other based on their construct.

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2
Q

test-retest reliability

A

when an assessment produces consistent results when taken at two different time frames.

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3
Q

content validity

A

the idea that the content of the test is accurately measuring the desired construct

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4
Q

convergent validity

A

a method used to test the construct validity where the scores of one exam are compared to another with the same construct.

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5
Q

divergent validity

A

when an exam is compared to that of a different construct to see the correlation. to ensure that construct is not similar to someone else.

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6
Q

norm group

A

the group that is being evaluated in a study, a sample of the targeted population.

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7
Q

things to do before administration of test

A

understand manual, test, and take it yourself. have proper environment and all necessary supplies for est. follow instructions verbatim if instructed. note any deviations

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8
Q

after administration of assessment guidelines

A

Review the results either immediately after or schedule a time to discuss. Consider asking some questions to the client about their experience with the test.
- explore high or low scores and what they can mean
-interpret score and how this can fit into the context of the overall client and their story

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9
Q

3 forms of interpreting scores

A

norm, criterion, and ipsative

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10
Q

Norm-referenced interpretation

A

When the scores are compared to the norm group in the studies

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11
Q

ipsative interpretation of assessments

A

comparing scores against the client or their own previous scores

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12
Q

criterion referenced interpretations

A

when the scores are compared to criteria scores for various disorders or other things. Based on established cut off scores.

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13
Q

how are scores organized (3 ways)

A
  1. distributions: a set of scores
  2. frequency distributions: distribution categories based on how many points each item has. (5 points for item A, 6 points for item B)
  3. Group frequency distributions: where distributions are ranged by common scores (10 ppl got 90, 5 ppl got 80)
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14
Q

Explain what positive and negative skews indicate?

A

positive skew indicates tat there is a greater distribution of scores on the left side of the mean.

negative scews indicate a greater distribution on the right side of the mean.

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15
Q

Kurtosis

A

a statistic that describes the peakness or flatness of a distribution. as compared to a normal bell curve

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16
Q

what is the measure of central tendency

A

central tendency is the distribution of average performance where most scores end of close to the mean, making a bell curve.

17
Q

what is mean, median, and mode

A

mean is he sum total of items divided by the # of items

median is the middle score of all numbers if ordered from smallest to biggest

mode is the most common score among several numbers

18
Q

what is variability

A

variability is the degre to which the scores differ from one another, often measured via standard deviation

19
Q

what is standard deviation

A

this is a method used to calculate the distance of scores from the mean. Square root of the variance.

20
Q

what are the two main ways norm-referenced scores are displayed?

A

Percentile ranks and standards scores (z-score, t-score, deviations IQs, CEEb scores, stanines, sten scores)

21
Q

how do we find the standard score from the raw score, especially when comparing two different assessments.

A

you should use a T score or a z score which can automatically inform you the SD, some test booklets have this.

22
Q

What is a z score?

A

this is (x-Mean)/SD. To create a curve from z score, create a mean of 0 with sets of SD of 1. then calculate your scores.

23
Q

what are t-scores

A

T=10(Z score)+50. ere you should use a mean of 50 with a SD of 10. Calculate this using a Z score as a base.

24
Q

How to know if you need to use a t or z score?

A

If there is no SD known and the sample if less than 30, then use a t score. if the sample is greater than 30 with an SD use a z score.

25
What is a null hypothesis
H0- Fail to reject the null. there is no relationship between the variables an any difference is due to chance.
26
What is the alternate hypothesis?
H1, reject the null hypothesis, there are differences between variables and there is only a x% that these differences are due to chance or other variables.
27
what would be an example of false positive error when diagnosing someone based on assessment.
Our calculations indicate the rejection of a null hypothesis when in reality there is no DX
28
what are type I and type II errors?
type 1 errors are false positives and type II errors are false negatives.
29
What is the main difference between statistical significance and clinical significance?
Stat significance generally is 2 SD away from mean. Clinical significance is generally 1.5 SD away from the mean.
30
What are some factors that could cause problems when presenting the results to the client? and how does one mitigate tem?
1. acceptance: building good rapport, explain test well, spend ample time explaining results 2. readiness: rapport, focus on the test rather than client, have client bring up the results 3. negative results: explain the rationale behind cut off scores, avoid negative descriptors, identify other information about the person that may or may not support the results 4. flat profiles: explore outcomes with clients 5. motivation and attitude: explore client's motivations and be aware of them
31
what is test sensitivity?
the tests ability to identify those who actually have the construct being measured _ true positive
32
what is the specificity in tests?
The ability of tests to identify those who do not have the construct being measured, aka true negative