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Measurement and Evaluation of Human Performance
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Terms in this set (14)
Standard Deviation
-the spread of data around the mean (average)
-Small SD= data closely clustered around the mean
-Large SD= data spread apart around the mean
Assuming Normal Distribution of Values
-68% of values are within +/- 1 SD
-95% of values are within +/- 2 SD
Error Bars
-Use +/- 1 SD for error bars (1 SD above data, 1 SD below)
-Graphical representation of variability of data
Coefficient of Variation
ratio of standard deviation to mean (expressed as a percentage)
V= (100xSD)/mean
Significance (P)
calculates the probability our results are by chance rather than being caused by exercise
- p<0.05 (significant correlation)
- p>0.05 (no significant correlation)
Specificity
how well does the skill required for the test match the skill required for the sport
Accuracy
how true is the value reported by this instrument or in this test?
Reliability
the degree to which a measure would produce the same result from one occasion to another
Validity
does the test measure what it claims to measure?
Placebo
tastes like the real thing, harmless substance, will not affect the performance
Blinding
subjects don't know who gets real vs. placebo treatment
Double blinding
neither experimenters nor subjects know who get real vs. placebo
Maximal testing
test your max
ADVANTAGES
-true measure of maximum ability
DISADVANTAGES
-unaccustomed subject may be injured
Submaximal testing
tests do not require maximal effort, can be used to calculate what the maximum might be.
ADVANTAGES
-good for novice groups
DISADVANTAGES
-not a true measure of maximum ability
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