International Dictionary of Obscenities: A Guide to Dirty by Christina Kunitskaya-Peterson

By Christina Kunitskaya-Peterson

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Cramer & Howitt 2004; Hair et al. 2010; Sheskin 2011 boundary effect the effect which occurs when a test is too easy or too difficult for a particular group of test takers, resulting in their scores tending to be clustered toward the top of the distribution (CEILING EFFECT) or the bottom of the distribution (FLOOR EFFECT). When tests are very easy or difficult for a given group of participants, skewed distribution of scoring will result.  Richards & Schmidt 2010 bounding a technique used in PANEL DESIGNs to reduce the effect of TELESCOPING on behavioral frequency reports.

For example, the HARMONIC MEAN occurs in many statistical calculations such as the STANDARD ERROR of differences often without being explicitly mentioned as such. In TESTs OF SIGNIFICANCE, it can be quite important to know what measure of central tendency (if any) is being assessed. Not all statistics compare the arithmetic means or averages. Some NONPARAMETRIC TESTS, for example, make comparisons between medians. see also GEOMETRIC MEAN  Cramer & Howitt 2004 average inter-item correlation a measure of INTERNAL CONSISTENCY RELIABILITY which uses all of the items on your instrument that are designed to measure the same construct.

Next, we consider only the values to the left of the median: 18 27 34 50 54 59 61. We now find the median of this set of numbers. Thus 50 is the median of the scores less than the median of all scores, and therefore is the lower quartile. Now consider only the values to the right of the median: 78 82 84 85 91 93 100. We now find the median of this set of numbers. The median 85 is therefore called the upper quartile. Now we can construct the actual box and whisker graph, as shown below. 2. An Example of Boxplot The line drawn in the box marks the median, or midpoint of distribution, which is the point at which 50% of scores are above and 50% of scores are below.

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