standardizing measurement scores

Testing and Measurements Week 9: Standardizing Measurement Scores Information about test norms allows you to equate scores across different tests of the same construct and lets you compare individuals to each other. Once you have the mean and standard deviation of a score, you can calculate an individuals z-score. Z-scores, also known as standard scores, tell you how many standard deviations away from the mean an individual is. Scores that are two standard deviations away from the mean represent the most extreme 5% of the population and often are considered to be unusual enough to warrant special consideration, such as a clinical diagnosis. For instance, IQ scores that are two standard deviations above the mean (130 or greater) are considered in a gifted range, and scores two standard deviations below the mean (70 or lower) are considered intellectually deficient. Scores on measures of depression that are two standard deviations above the mean often are considered to represent clinical depression. T-scores are another kind of standard score; the MMPI is the best-known example of a test that uses T-scores. (Note that T-scores have nothing to do with t-tests.) Z-scores have a mean of 0 and a standard deviation of 1; T-scores have a mean of 50 and a standard deviation of 10. Thus, the average score on a test would be assigned a T-score of 50 and a z-score of zero. A score that was one standard deviation below average would be assigned a T-score of 40 and a z-score of -1. For this Assignment, you will practice converting raw test scores into more meaningful standardized scores. To prepare for this Assignment: Download the Week 9 Assignment Template (Word document)Download Week 9 Assignment Template (Word document) Download the SPSS Data file Ocean Week 9.savDownload SPSS Data file Ocean Week 9.sav Read the assigned pages in the SPSS Instructions on how to transform raw scores into standardized scores. Use the Week 9 Assignment Template to properly organize, format, and present your standardized scores. Submit a 2-page paper (not including references) that addresses the following: Using the OCEAN SPSS data file, convert the OCEAN measures to T-scores, percentile scores, and z-scores. Then, split the file based on gender and compute the means and standard deviations for the male and female respondents in the sample, and summarize these in an APA Style table. Finally, compute a t-test to compare the T-scores based on gender. Summarize these analyses in an APA Style table. Then, explain insights you gained from your analyses about the impact and interpretation of transformed scores.