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Internal Validity

As explained in the 1960s by Donald Campbell and Julian Stanley in their seminal book Experimental and Quasi-Experimental Designs for Research, internal validity refers to the extent to which the methodological research design used by a researcher can provide empirical evidence to test the possible cause-and-effect relationship between an independent variable (the antecedent), X, and a dependent variable (the consequence), Y. Without adequate internal validity, researchers may offer logical, reasoned arguments to speculate about the possible causal nature of any correlational relationship they observe between X and Y in their data, but they cannot use the internal strength of their research design to bolster such reasoning. Thus, although researchers can (and routinely do) draw casual inferences about “X causing Y” based on speculation from the results of many types of nonexperimental research designs, it is only with carefully planned experiments and quasi-experiments that researchers can draw internally valid conclusions about cause-and-effect relationships with a high degree of confidence.

Unfortunately, many survey researchers have not received training in experimental design and do not appear to appreciate the importance of planning research that can yield internally valid findings. As such, they often fail to take full advantage of deploying controlled experimentation with random assignment in their surveys. The following example, which occurred in 2000, helps illustrate this point.

Example of a Survey Lacking Internal Validity

The results of a nonexperimental pre-election study on the effects of political advertising were posted on the American Association Public Opinion Research listserve (AAPORnet) in 2000. This survey-based research was conducted via the Internet and found that a certain type of advertising was more persuasive to potential voters than another type. By using the Internet as the data collection mode, this survey was able to display the ads—which were presented as digitized video segments—in real time to respondents/subjects as part of the data collection process and, thereby, simulate the televised messages to which voters routinely are exposed in an election campaign. Respondents were shown all of the ads and then asked to provide answers to various questions concerning their reactions to each type of ad and its influence on their voting intentions. This was done in the individual respondent's own home in a room where the respondent normally would be watching television. Here, the Internet was used very effectively to provide mundane realism to the research study by having survey respondents react to the ads in a context quite similar to one in which they would be exposed to real political ads while they were enjoying a typical evening at home viewing television. Unlike the majority of social science research studies that are conducted under conditions far removed from real life, this study went a long way toward eliminating the potential artificiality of the research environment as a serious threat to its overall validity.

Another laudable design feature of this study was that the Internet sample of respondents was chosen with a rigorous scientific sampling scheme so that it could reasonably be said to represent the population of potential American voters. The sample came from a large, randomly selected panel of households that had received Internet technology (WebTV) from the survey organization in their homes. Unlike most social science research studies that have studied the effects of political advertising by showing the ads in a research laboratory setting (e.g. a centralized research facility on a university campus), the overall validity of this study was not threatened by the typical convenience sample (e.g. undergraduates “volunteering” to earn course credit) that researchers often rely upon to gather data. Thus, the results of this Internet research were based on a probability sample of U.S. households and, thereby, could reasonably be generalized to the potential U.S. electorate.

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