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Notes for LG 554

Sociolinguistic Methods I

Prof. Peter L. Patrick

Dept. of Language & Linguistics

University of Essex

 

On reliability, validity, and representativeness

 

       Reliability

Q: Would this method work for someone else?

If methods are reliable, then – all other things being equal – if anyone else used the method on the same group (or on a representative sample of the same group), they would come up with the same results; or if the same researcher used the method at another time (assuming no change is in progress for the thing studied), or in a different representative sample of the same group, she would come up with the same results.

This criterion is based on the experimental method in science, and assumes that social behavior is governed by laws in a way similar to the effect of physical forces and natural conditions (e.g. friction). That’s not true, of course.

Some methods are seen as more reliable than others. Anything that involves a single researcher in a situation that cannot be repeated, or relies on fortuitous circum­stances or remarkable personal qualities of the researcher, is in danger of being thought unreliable – e.g., much of ethnographic participant-observation!

 

            Validity

Q: Do the data give a true picture of what I’m studying?

          Evidence is always partial, less than the whole. Does it distort the object of research, or is it accurate? Note sense of “accurate” here – an arrow that lands close to the bullseye – as opposed to “precise” – an arrow that lands close to the previous shot (however far or near that may be from the bullseye!), a notion that is akin to Reliability. Successive investigations of an object may agree, i.e. be reliable/precise, yet all may be flawed in their view, i.e. not be valid/accurate.

          Self-report data are a good example. How do we know that the answers people give to a survey Questionnaire about some regular activity are in fact true? How many times a day do you look at your watch? Your good-faith answer could, in fact, be far off the truth; you may well not know the answer. Many or most surveys are best understood as records of people’s attitudes towards behavior, or how they position themselves regarding common norms - rather than as valid estimates of their behavior. This is particularly important where language use is concerned, because there are systematic aspects of language behavior which are not open to introspection, and which run counter to most people’s beliefs about language and about themselves.

          Similarly, with the experimental method we get a picture of how people behave in experiments, but how do we know that this is how they behave in the real world?

Clearly there is a trade-off here: the more controlled the environment, the more closely causes and effects can be related to each other with confidence and things explained; but the more artificial, too, the situation is. In real situations, independent variables cannot often be limited or controlled, and we can never be sure that the cause-and-effect relationships we’ve identified are the right ones.

 

Representativeness

Q: Is my sample typical of the group I drew it from?

Representativeness assumes the non-uniqueness of populations, the inter-changeability of their units for certain purposes. All things being equal, the larger a population is, the better this assumption holds up. Thus, sampling. If we’re not sure a sample is typical, then we can’t generalize – we can’t be sure our study is relevant to anyone else at all.

 

See further: Patrick McNeill (1990) Research Methods, or any standard social science manual.

 

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Last updated on 16 October 2007