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Module 9 Score Transformations and T heir Effects

Module 9 Score Transformations and T heir Effects. Why transform? Effects on Central Tendency Effects on Dispersion Commonly transformed scores. Why do it?. To curve grades! Higher or lower When they are less or more spread out than origionaly.

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Module 9 Score Transformations and T heir Effects

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  1. Module 9 Score Transformations and Their Effects • Why transform? • Effects on Central Tendency • Effects on Dispersion • Commonly transformed scores

  2. Why do it? • To curve grades! Higher or lower • When they are less or more spread out than origionaly

  3. Effect of Transformations on MeanCentral Tendency • Transformations – applying the same adjustment to all scores in a data set • Effects on the mean • Adding or subtracting a constant to all scores will increase or decrease the mean by that constant • Multiplying or dividing all scores by a constant will cause the mean to be multiplied or divided by that score

  4. Effect of Transformations on Dispersion • Effects on Dispersion • Adding or subtracting a constant to all scores will not effect measures of dispersion • Multiplying or dividing all scores by a constant will cause measures of dispersion to be multiplied or divided by that score

  5. Common Transformations

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