I've done a fair amount of work with employee survey data as an HR data scientist. Particularly at large companies it can be pretty useful, but executives often like to reinterpret the reports they are sent in…
There is a quasi-legal standard for creating and validating pre-employment assessment (https://www.apa.org/ed/accreditation/personnel-selection-pro...) but there isn't a lot of regulation and there are plenty of sketchy…
Note that "operationalization" implies a fairly specific set of epistimolgical and ontological approaches which do not necessarily require that what is being measured has a one-to-one correspondence to a 'real' entity.
My impression is that philosophers and statisticians are often working with different focal examples. I think that in many fields important scientific knowledge essentially takes the form of a point estimate (e.g. the…
Commonly a model is being used primary to make better decisions. Specifically in the context of fitting models, Bayesian methods are really popular for hyperparameter tuning. I guess my main point is that at least one…
A bottling company is interested in determining the accuracy with which their equipment is filling bottles of water. One answer would be "95% percent of the bottles contain between 11.9 and 12.1 ounces". A different way…
My impression is that many college newspapers lost a lot of ad revenue when it became common for universities to ban them from advertising bars and alcohol.
Most psychologists wouldn't operationalize intelligence as years of schooling but its common practice in economics and some other fields. In social science research there is often a tradeoff between measurement quality…
There is a lot of scientific support for pre-employment screening (selection). The most conclusive evidence comes from a series of absolutely enormous studies conducted by the US military in the 80's known as project A.…
I worked at a consulting firm that sells this sort of philosophy. A big part of my job was explaining basic concepts from statistics and measurement to MBA types. A big problem with quantitative management approaches is…
I've done a fair amount of work with employee survey data as an HR data scientist. Particularly at large companies it can be pretty useful, but executives often like to reinterpret the reports they are sent in…
There is a quasi-legal standard for creating and validating pre-employment assessment (https://www.apa.org/ed/accreditation/personnel-selection-pro...) but there isn't a lot of regulation and there are plenty of sketchy…
Note that "operationalization" implies a fairly specific set of epistimolgical and ontological approaches which do not necessarily require that what is being measured has a one-to-one correspondence to a 'real' entity.
My impression is that philosophers and statisticians are often working with different focal examples. I think that in many fields important scientific knowledge essentially takes the form of a point estimate (e.g. the…
Commonly a model is being used primary to make better decisions. Specifically in the context of fitting models, Bayesian methods are really popular for hyperparameter tuning. I guess my main point is that at least one…
A bottling company is interested in determining the accuracy with which their equipment is filling bottles of water. One answer would be "95% percent of the bottles contain between 11.9 and 12.1 ounces". A different way…
My impression is that many college newspapers lost a lot of ad revenue when it became common for universities to ban them from advertising bars and alcohol.
Most psychologists wouldn't operationalize intelligence as years of schooling but its common practice in economics and some other fields. In social science research there is often a tradeoff between measurement quality…
There is a lot of scientific support for pre-employment screening (selection). The most conclusive evidence comes from a series of absolutely enormous studies conducted by the US military in the 80's known as project A.…
I worked at a consulting firm that sells this sort of philosophy. A big part of my job was explaining basic concepts from statistics and measurement to MBA types. A big problem with quantitative management approaches is…