¶ … person's ability/skill/standing relative to other people in order to design an intervention (Cohen & Swerdlik, 2013; Runyon, Coleman, & Pittenger, 2000). Summary statistics (descriptive statistics) allow for the assessor or researcher to summarize the raw data and scores from people being tested. The percentile rank or percentile score represents a person standing relative to other individuals on a particular test (Cohen & Swerdlik, 2013). There are some drawbacks to percentile scores. Obviously if the percentile rank is obtained without consideration for the data then the percentile rank may not be a meaningful or accurate summary statistic. For example, if one uses a standard distribution such as a Z. distribution to determine the percentile rank of a particular score and the distribution of raw scores is not normal then the percentile rank will not be an accurate reflection of the person standing on that particular measure (Huck, 2012). Perhaps, one of the biggest mistakes made in assessment and testing is to treat highly skewed distributions of scores as if they were normal distributions (Cohen & Swerdlik, 2013). This actually happens often on physiological measures such as measures of reaction time, which is typically a positively skewed distribution...
Transforming a highly skewed distribution into a Z. distribution results in an inaccurate representation of the scores (Cohen & Swerdlik, 2013).Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
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