Originally posted by Wickerman
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That would have been an interesting conversation. I have suggested that research be viewed as 3 separate "spaces", if you will. Theoretical space, which is a collection of truth statements, which can be subjected to evaluation via the rules of logic. A theory is a collection of truth statements. For a theory to be "true", all statements must evaluate to true. If one is shown to be false, the theory is false, although it may not be fatal to all other statements, and only requires a revision. There is also methods space (the things we do, so what the police did in their searches, or how an inquest was held, for example) and data space (what resulted from what was done; what evidence did they find in their search, what did people testify to, etc).
While that set up is easy with experiments, where things set in methods space (how you set up the experiment) lead to values in data space (what you do determines what you find) and then one compares what was observed with what was predicted within theoretical space. If the observed values do not match the predicted values, that creates the paradox allowing experimental observations to falsify the truth statements where one states the observed values will equal the predicted value. Since they don't, that's false, setting up a chain of disconfirmation in theoretical space.
With JtR, the methods are less controlled situations, and would include things like what a witness was doing when they observed a situation, which they later testify to in the context of the inquest or interview.
This shows up a lot in discussions, where people wonder if the witness was paying sufficient attention to identify the person (i.e. Lawende's identification of Eddowes via her clothes). If that's a poor method of identification (which of course it is), then does the data (him deciding the clothes are similar and testifying as such) matching the predicted value (if he saw them he has a chance of recognizing them -> he may recognize her clothes) and that last statement matches his testimony. The problem, of course, is that there are all sorts of theoretical bits that come into play, such as failures of memory, he might have seen her but not recognized her clothes (that didn't happen of course), or he might not have seen her and misidentified her clothes as the ones he saw (which also fits the data).
It is always a theoretical claim that "this data is wrong", because the data is what the data is, it's the explanation that is being questioned. If someone argues "Lawende's statement is invalid" they don't mean his words are invalid, they are adding in theoretical space "but he misidentified Eddowes clothes as the clothes he saw but which were of another person", which is just a complicated way of saying Lawende didn't see Eddowes. But it puts statements into theoretical space.
Theoretical space, however, has to tie into observations. So, to make that claim, one needs to tie it to data somehow. Generally, the Lawende identification type thing starts to point to "similarity of dress among Victorian women of the day in that area", and other things to point out that misidentification is highly probable. While it doesn't prove misidentification hadn't happened in this instance, it does question whether the data arises from actual recognition.
Speculation is just the filling in of theoretical space without ties to data space (i.e. we don't have evidence for these statements). Generally, theoretical space is an attempt to explain the observed, and we expand the observations by investigation. Speculation is just the filling in of theoretical space with statements without ties to data space. That can be useful because it may suggest what needs to be done for an investigation, and if the data space fills up with values that those speculative statements made, they become supported and integrated into the overall collection of statements (into theory), but until they do, they are considered weak points and can be removed at will and replaced with any set of speculations that do not conflict with observed data.
To compare various "speculation fills", then one can use things like "Your speculation involves very rare events, mine involves highly common events", in which case the latter is considered the better option (it is logically more sound to go with the more common events until data space indicates those events did not happen). Also, explanations that "fill in the gaps" with the fewest number of unsupported statements are better, simply because unsupported claims are to be avoided.
I guess it's a similar idea, that theoretical statements are ones that have at least some ties to data space, and speculations are statements without ties to direct observations.
- Jeff
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