Timeline for Is it ok to fail with analysis?
Current License: CC BY-SA 3.0
11 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Mar 3, 2018 at 4:29 | history | tweeted | twitter.com/StackAcademia/status/969791737936908288 | ||
| Feb 27, 2018 at 14:09 | comment | added | Jean-François Corbett | I cringe every time I have a look at my own old Ph.D. thesis. Your Ph.D. is the beginning of your academic/scientific career, and as such will contain your worst beginners' mistakes and your worst material all round. Rephrasing this in a positive way, you will improve as you gain more experience. As humans do. Anything else would be a surprise. | |
| Feb 27, 2018 at 10:17 | comment | added | HEITZ | Cognitive psychology PhD here - the signals are weak, the noise is strong. But even then your effects may be replicable and tell a compelling story. Have faith in the data, for it is truth, but do feel free to note limitations and alternative explanations in your discussion. | |
| Feb 26, 2018 at 21:26 | answer | added | CaptainSkyfish | timeline score: 5 | |
| Feb 26, 2018 at 21:15 | answer | added | user159517 | timeline score: 2 | |
| Feb 26, 2018 at 18:11 | answer | added | Wandering Chemist | timeline score: 25 | |
| Feb 26, 2018 at 17:48 | review | Close votes | |||
| Feb 27, 2018 at 5:06 | |||||
| Feb 26, 2018 at 17:45 | answer | added | J-Kun | timeline score: 29 | |
| Feb 26, 2018 at 17:36 | comment | added | astronat supports the strike | Mistakes are really, honestly the best way of learning. If your supervisor is happy, I think you are doing fine. | |
| Feb 26, 2018 at 17:28 | review | First posts | |||
| Feb 26, 2018 at 17:41 | |||||
| Feb 26, 2018 at 17:24 | history | asked | Arthur | CC BY-SA 3.0 |