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→Self Assessment
The whole act of manually trying to turn experience into a number. Not self report because you are not reporting to anyone but yourself and so other people's opinions do not matter. According to the wikipedia, this process is called something else<ref>https://en.wikipedia.org/wiki/Ambulatory_assessment</ref><ref>https://en.wikipedia.org/wiki/Experience_sampling_method</ref>, not self assessment<ref>https://en.wikipedia.org/wiki/Self-assessment</ref>.
The whole act of manually trying to turn experience into a number. Not self report because you are not reporting to anyone but yourself and so other people's opinions do not matter. According to the wikipedia, this process is called something else<ref>https://en.wikipedia.org/wiki/Ambulatory_assessment</ref><ref>https://en.wikipedia.org/wiki/Experience_sampling_method</ref>, not self assessment<ref>https://en.wikipedia.org/wiki/Self-assessment</ref>.
[[Mood]], focus, and interest in the issue can all complicate the data.
[[Mood]], focus, and interest in the issue can all complicate the data.
==== Timing ====
==== Timing ====
==== Scales ====
==== Scales ====
The more complicated the variable the more ambiguity in it and effort it will require. Consider all the situations that may occur, information that is compressed into, and things that may influence the scale. It may be easier to split one into multiple different variables.
[[Personal Science (book)]] recommends simpler scales to stop user from wasting time on details. [[User:DG|DG]] ([[User talk:DG|talk]]) recommends somewhat wider scales that split positive and negative into 'definitely' and 'extremely/unusually' and the neutral state into two to let user guess which side is more likely.
[[Personal Science (book)]] recommends simpler scales to stop user from wasting time on details. [[User:DG|DG]] ([[User talk:DG|talk]]) recommends somewhat wider scales that split positive and negative into 'definitely' and 'extremely/unusually' and the neutral state into two to let user guess which side is more likely.