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PE2379 ch06.qxd 24/1/02 16:07 Page 508<br />

standard dialect<br />

where X a raw score<br />

X – the mean<br />

N the number <strong>of</strong> participants in a study (or items on a test)<br />

the sum <strong>of</strong><br />

standard dialect n<br />

another term for STANDARD VARIETY<br />

Standard English n<br />

see STANDARD VARIETY<br />

standard error n<br />

also SE<br />

(in statistics and testing) a statistic used for determining the degree to which<br />

the estimate <strong>of</strong> a POPULATION PARAMETER is likely to differ from the computed<br />

sample statistic. The standard error <strong>of</strong> a statistic provides an indication <strong>of</strong><br />

how accurate an estimate it is <strong>of</strong> the population parameter. One commonly<br />

used standard error is the standard error <strong>of</strong> the mean, which indicates how<br />

close the mean <strong>of</strong> the observed sample is to the mean <strong>of</strong> the entire population.<br />

standard error <strong>of</strong> measurement n<br />

also SEM<br />

an estimate <strong>of</strong> the range <strong>of</strong> scores wherein a test taker’s TRUE SCORE lies.<br />

The standard error <strong>of</strong> measurement decreases as the reliability <strong>of</strong> a test<br />

increases which is shown by the following formula:<br />

SEM SD√1 r<br />

where SD the standard deviation <strong>of</strong> test scores<br />

r the reliability estimate <strong>of</strong> a test<br />

For example, a test taker obtained a score <strong>of</strong> 85 on an ESL reading test<br />

that has a standard deviation <strong>of</strong> 12 and a reliability coefficient <strong>of</strong> .91. The<br />

test’s SEM is estimated as follows:<br />

SEM 12√1 0.91 12√0.09 (12)(0.3) 3.6<br />

As a test taker’s true scores are expected to distribute normally if this<br />

person took the same test an infinite number <strong>of</strong> times, this person’s true<br />

score would be expected to lie within or one SEM <strong>of</strong> this person’s<br />

observed score 68% <strong>of</strong> the time (i.e. between 88.6 and 81.4) and within<br />

or two SEM <strong>of</strong> this person’s observed score 95% <strong>of</strong> the time (i.e.<br />

between 92.2 and 77.8) (see THE NORMAL CURVE).<br />

standard error <strong>of</strong> the mean n<br />

see STANDARD ERROR<br />

508

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