NSCA CSCS Chapter 12 & 13 Testing

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Last updated 1:14 AM on 6/3/26
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20 Terms

1
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what is the degree to which test measures what it is suppose to measure

validity

2
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extent to which the test actually measures what it is was designed to measure

construct validity

3
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does the test look like it measures what it suppose to measure

face validity

4
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assessment by experts to make sure the test covers all relevant subtopics or abilities associated w/ test

content validity

5
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the extent to which test scores are associated w/ some other measure of the same ability

criterion referenced validity

6
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extent in which test scores are associated with another test score measuring the same ability

concurrent validity

7
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high positive correlation between 2 test that SHOULD be related

convergent validity

8
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extent to which test score is associated with future behavior or performance

predictive validity

9
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test whether concepts that are unrelated are actually unrelated

discriminant validity

10
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what is a measure of the degree of consistency or repeatability of a test

reliability

11
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assessment of local muscular endurance, test should be separated by at least 5 minutes to prevent fatigue

test battery

12
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aerobic performance for a test can be impaired at what temperature and humidity?

temperature 80 degree and humidity 50%

13
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Test sequencing should happen how?

1. non fatiguing components (height and weight)

2. agility ( t-test)

3. max power and strength (1RM)

4. sprint test (40m)

5. local muscular endurance (pushups)

6. fatiguing anaerobic test (300m run)

7. aerobic capacity test (1.5 mile run)

14
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What are a few examples of agility test?

pro-agility, and t test

15
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What is a common movement done to screen movements?

overhead squat, this allows for the bilateral movement of hips, knees, & ankles along w/ shoulder & thoracic spine to be looked at

16
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difference between athletes score at beginning and ending of training period or between any 2 separate training periods

difference score

17
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allows one to draw conclusions about a population from info collected in population sample

- ex: a 9th grade gym class of boys is put thru battery test & results are apply to all 9th grade boys in school. This is an example of drawing a conclusions from population sample & applying to an entire population

inferential statistics

18
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a more useful approach for practitioners because it allows interpretation of the clinical significance of fitness testing

- smallest worthwhile change and effect size are important in calculating the magnitude of change in a fitness test

magnitude statistic

19
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is a measure of the variability of a set in scores about the mean

standard deviation

20
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what are the two common measures of variability?

1. range

2. standard deviation