2023
DOI: 10.1177/20531680231187271
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Temporal validity as meta-science

Kevin Munger

Abstract: The “credibility revolution” has forced quantitative social scientists to confront the limits of our methods for creating general knowledge. As a result, many practitioners aim to generate valid but local knowledge and then synthesize and apply that knowledge to predict what will happen in a target context. Positivist social science has until recently been hamstrung with other, more immediate threats to validity and inference, but I argue that recent advances in statistical approaches to the problem of externa… Show more

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Cited by 12 publications
(6 citation statements)
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References 65 publications
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“…This may create “drift” within LLMs, wherein improving model performance in one area might change the outputs they produce in another domain ( 74 ). Finally, social scientists must consider broader forms of temporal validity ( 13 , 75 ). As LLMs evolve in response to user behavior in different ways—as well as ongoing events in the world—this will create another significant challenge for those who strive for reproducible research with Generative AI.…”
Section: Limitations and Possible Dangersmentioning
confidence: 99%
“…This may create “drift” within LLMs, wherein improving model performance in one area might change the outputs they produce in another domain ( 74 ). Finally, social scientists must consider broader forms of temporal validity ( 13 , 75 ). As LLMs evolve in response to user behavior in different ways—as well as ongoing events in the world—this will create another significant challenge for those who strive for reproducible research with Generative AI.…”
Section: Limitations and Possible Dangersmentioning
confidence: 99%
“…Temporal validity (Austin et al., 2016; Munger, 2019) refers to the extent to which research findings remain valid (i.e. generalize) over time.…”
Section: Critical Perspectives On Research On the Validity Of Cogniti...mentioning
confidence: 99%
“…can and do change over time (Karpf, 2016). Munger (2022) refers to this as "temporal validity," arguing that most academic science is done with the goal of predicting the future; conversely, in digital analytics the goal of an individual A/B test is grounded in making a decision for the present moment, answering the question "what works better, right now?" If list members' material experiences of the Internet change rapidly in terms of device, screen size, or email client, then digital testers should not necessarily expect the findings from an individual test to hold across multiple experiments, if the material and/or temporal conditions themselves are key to the results.…”
Section: Theory-building Vs Practice-buildingmentioning
confidence: 99%