TheMeaningofScoringTermsinScantron[PPTfile].ppt

Understanding Statistical Information on Item Analysis Reports Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Detailed Item Analysis Report Total points possible on this exam. Number of students who took this version of the exam. Standard deviation is a measure of how student scores vary from the mean score. (Used in setting grades or “grading on a curve”.) Degree of asymmetry of the distribution around its mean. Positive skewness means that scores tend to be higher. Negative skewness means that scores tend to be lower. Median score is the score that lies in the middle, when scores are arranged numerically. Example: If the student scores are 66, 78, 79, 91, 91, the median score is 79. Mode score is the most frequently occurring score. Example: If the student scores are 66, 78, 79, 91, 91, the mode score is 91. Highest score on the exam. The degree of peakedness or flatness seen in score distributions. A positive kurtosis means the score distribution is peaked (i.e., some students scored very high and some very low, so there is a huge difference between top and lower students) A negative kurtosis means the score distribution is flat. (i.e., everyone scored about the same, so maybe the test was too easy) A near zero value for kurtosis is a normal score distribution (i.e., a few As, some Bs, some Cs, a few Ds , and one or two Fs) Total of scores divided by the number of scores. (Same as average score.) Measure of variability Lowest score on the exam. The consis