In research,
a reliable measure is the one that
gives the same result over and over again (assuming there is no change in what
is being measured) (Trochim, 2006a); while a valid measure is the one that gives the correct value (assuming
there is such a thing as a “correct” value for the given measurement) (Trochim,
2006b). However, according to Cronbach (1975), all phenomena, even those that
can be quantitatively measured, will, sooner or later, change. This is
especially true in social and behavioral sciences, where (1) the studied
phenomena change very rapidly, and (2) it is often impossible to tell whether
two different measurements of the same phenomenon were made under identical
conditions; because isolating the variables of interest, from all external
influence, may be impossible (Cronbach, 1975, pp. 122-123; as cited in Lincoln
& Guba, 1985, p. 115). Those social and behavioral phenomena which are
primarily studied through qualitative methods (often because it is hard to
study them through quantitative methods) are especially prone to such
unpredictability. Hence, whatever is being “measured,” through qualitative
research, is usually constantly changing. And, as a result, there is no way to
known what its “correct” value is at any one time; because this value is also
constantly changing. Therefore, when it
comes to qualitative research design, the concepts of validity and reliability
seem to be inapplicable.
References
Cronbach, L.
J. (1975). Beyond the two disciplines of scientific psychology. American Psychologist, 30, 116-127.
Lincoln, Y.
S., & Guba, E. G. (1985). Naturalistic
inquiry. Beverly Hills, CA: Sage.
Trochim, W. M. K. (2006a). Theory of reliability. Retrieved from
http://www.socialresearchmethods.net/kb/reliablt.php
Trochim, W. M. K. (2006b). Reliability & Validity. Retrieved from http://www.socialresearchmethods.net/kb/relandval.php
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