Lecture 9 - What to do with data

Lecture 9 - What to do with data - 3. You have so much data...

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What to do with data?
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Data Reduction Before data analysis, check your raw data for the following: 1. Invalid data 2. Missing data 3. Outliers
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D.V. = rating on a 5 pt. scale 1. 4 7. 5 13. 4 2. 5 8. 7 14. 4 3. 4 9. 3 15. 4 4. 2 10. 5 16. 1 5. 4 11. 0 17. 3 6. 4.5 12. 2 18. 2
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D.V. = number of words recalled (out of 20) Subject C1 C2 C3 1. 5 8 14 2. 4 10 17 3. * 12 18 4. 3 7 13 5. 6 9 15 6. 20 20 20
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D.V.= reaction time (msec) 1. 538 9. 634 2. 632 10. 1038 3. 534 11. 745 4. 578 12. 567 5. 712 13. 34,897 6. 513 14. 432 7. 609 15. 617 8. 96 16. 598
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Tables Use tables when: 1. You want to show part. characteristics 2. You want to show data that was not significant
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Unformatted text preview: 3. You have so much data that you dont have room to graph all of it Graphs 1. I.V. goes on the x-axis 2. D.V. goes on the y-axis make sure you define (i.e. seconds, percentage, etc.) 3. Always label your axes and include legend Graphs Use bar graphs when: 1. Your independent variable(s) is discrete. For example: gender, drug dose, cola type Graphs Use line graphs when: 1. Your independent variable(s) is continuous. For example: trials, days, sessions, cups of coffee...
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This note was uploaded on 02/17/2011 for the course PYSC 226 taught by Professor Levens during the Fall '09 term at South Carolina.

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Lecture 9 - What to do with data - 3. You have so much data...

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