Measurement and data quality in longitudinal research.

Abstract:

:The importance of paying attention to scale levels is emphasized and it is pointed out that Steven's hierarchy of ratio, interval, ordinal, and nominal scales is too narrow; other important scale properties have to be considered. For instance, sometimes a carefully constructed variable on a nominal scale contains more information than a variable at a higher scale level. Direct versus indirect measurement and relative versus absolute measurement are also discussed and the effects of errors of measurement on the results are considered. It is not infrequent in a longitudinal setting to disregard sampling considerations, which can be very unfortunate. Such considerations, as well as the use of modern sampling theory, can considerably enhance the quality of a longitudinal study. Finally, a number of conclusions and recommendations are given for the carrying out of longitudinal research in relation to measurement issues.

authors

Bergman LR

doi

10.1007/BF00538540

subject

Has Abstract

pub_date

1996-01-01 00:00:00

pages

28-32

eissn

1018-8827

issn

1435-165X

journal_volume

5 Suppl 1

pub_type

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