Timeline for Analyzing my Likert-scale data
Current License: CC BY-SA 4.0
10 events
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May 28, 2022 at 9:42 | vote | accept | Karla | ||
May 28, 2022 at 3:03 | comment | added | BruceET | Maybe the analysis would go OK until the huge P-value shows up to say you haven't found anything. // On the other hand, if there is a big real effect, means of Likert scores could possibly work out to be close to normal and a one-sample t test might find something interesting. // More subjects looking at fewer images could be my most important suggestion. // Good luck with this. | |
May 28, 2022 at 0:33 | comment | added | Karla | Thank you, Bruce, this is very informative. What if the answers are purely subjective, i.e no target is truly brighter than the other? I don't think a statistical analysis would be possible, would it? We could measure the frequency in responses, but that's about it, correct? | |
May 28, 2022 at 0:16 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:54 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:44 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:37 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:30 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:19 | history | edited | BruceET | CC BY-SA 4.0 |
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May 27, 2022 at 23:11 | history | answered | BruceET | CC BY-SA 4.0 |