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External Validity

External validity refers to the degree to which the relations among variables observed in one sample of observations in one population will hold for other samples of observations within the same population or in other populations. External validity is often treated as synonymous with the generalizability of results. Whenever empirical research makes use of a sample to examine how two or more variables are related within a larger population or whenever one seeks to extend results drawn from one population to a new population, questions of external validity arise.

External validity is often contrasted with internal validity or the question of whether valid inferences can be reached regarding the existence and nature of a relationship between two variables. Efforts to increase internal validity often reduce a study’s external validity. The key method for increasing external validity is to employ representative sampling with respect to all aspects of empirical design. External validity can be assessed inductively and deductively: Inductive assessments involve reviewing the relevant empirical literature to determine the conditions under which a research finding did or did not generalize; deductive assessments involve applying existing theoretical and empirical knowledge to deduce conditions on generalizability. External validity should be of particular concern when empirical research aims to serve as a guide to public policy. This entry contrasts external validity with internal validity, then discusses ways to increase external validity and describes the assessment of external validity.

External ValidityContrasted With Internal Validity

Many textbooks and articles on research design published before 1957 discuss how the sampling techniques used to gather observations will affect the generalizability of research findings. After 1957, it is much more common to find generalizability discussed in terms of the external validity of a research design. This change in terminology, and the increase in attention given to questions of generalizability, followed publication in 1957 of an article by the psychologist and methodologist Donald Campbell in which Campbell reframed the generalizability question as one of “external validity” to be contrasted with questions of “internal validity.” In this 1957 article and a series of subsequent influential publications, Campbell and coauthors examined threats to external validity and ways of increasing and assessing external validity. Although many scholars have made important contributions on the topic of external validity, Campbell and his colleagues’ work on this topic continues to serve as the foundation for most other discussions.

The primary insight of Campbell, and his reason for placing internal and external validity in contrast, was that steps taken in the research design process to increase internal validity often decrease external validity, and steps taken to increase external validity often decrease internal validity. Thus, if we limit who may participate in a study to reduce the chance that individual-level differences will confound the result (resulting in greater internal validity), we cannot be sure the results will generalize to other groups of persons (resulting in less external validity). A compromise would be to study a more representative sample drawn from the population about which one wants to draw inferences while measuring the individual difference-level variables that the researcher has reason to believe may affect the nature or degree of relationship between the target variables (e.g., the researcher may record the sex of students who serve as participants in a study on the relation of teaching style to course grades in order to examine whether male and female students exhibit the same pattern of results).

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