Hidden Populations, Online Purposive Sampling, and External Validity
نویسندگان
چکیده
منابع مشابه
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
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The generalizability of empirical findings to new environments, settings or populations, often called “external validity,” is essential in most scientific explorations. This paper treats a particular problem of generalizability, called “transportability”, defined as a license to transfer causal effects learned in experimental studies to a new population, in which only observational studies can ...
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Winer (1999 [this issue]) proposes that external validity concerns require more attention in theoretical research. The author argues that one cannot “enhance” external validity by choosing one method over another. External validity can only be “assessed” by better understanding how the focal variables in one’s theory interact with moderator variables that are seen as irrelevant early in a resea...
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We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged a unit cost for each block access. This model is well-studied, since it reflects the computational issues occurring when the (massive) input is stored on a disk. Since each block access operates on B data elements in ...
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Introduction In research, validity refers to the degree to which findings are applicable in real-life situations. Essentially, if the findings are strongly valid, it implies that they have an excellent degree of applicability. In contrast, low validity implies that the survey is not applicable in real-life situations. The specific approach used during research has strong influence on validity. ...
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ژورنال
عنوان ژورنال: Field Methods
سال: 2014
ISSN: 1525-822X,1552-3969
DOI: 10.1177/1525822x14526838