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Task 1:
Go to the American Psychological Association’s testing and assessment website: American Psychological Association, Testing and Assessment
Answer the following questions using the information contained in the website:
What are the most useful and popular references for finding information on a particular published test?
What resources are available to help you locate different test publishers?
What is the process you should use to purchase a published test?
What directories are available to help you locate software for administering, scoring, and interpreting published tests?
What resources are available to help you find unpublished tests?
What responsibilities do you have when using an unpublished test?
What publications can you consult to locate standards, guidelines, and principles to help test users achieve and maintain ethical testing practices?
Task 2:
This purpose of this task is to calculate and interpret percentile ranks and Z scores, and converting Z scores to percentile ranks. This task also demonstrates that Z score-to-percentile rank conversions can be performed only when the raw score distribution is normal or nearly normal. You will discover, the percentile ranks they calculate using the formula shown below (in #2), will differ from the percentile ranks yielded by Part II of Appendix 1, which converts Z scores to percentile ranks, because the UAT scores are not normally distributed.
Use the table to complete the following:
Convert examinees’ raw scores to Z scores, using the formula,
equation
Fill in the percentile ranks calculated previously (ACT 2.3) using the formula,
equation
Use Part II of Appendix 1 to find the percentile rank corresponding to each Z score.
Compare the percentile ranks yielded by 2 and 3 (above). Discuss differences.
chart
Task 3:
Using the following UAT scores and GPA, calculate the correlation coefficient with either following formula:
equation
or using a program such as Excel or SPSS. Then, create a scatterplot of the data and add a trend line to demonstrate the relationship of the two variables.
chart
Length: 3-5 pages
