Grouped versus randomized format: An investigation of scale convergent and discriminant validity using LISREL confirmatory factor analysis
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Grouped versus randomized format: An investigation of scale convergent and discriminant validity using LISREL confirmatory factor analysis
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1989
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Abstract
LISREL maximum likelihood confirmatory factor
analyses (Jöreskog & Sörbom, 1984) were conducted
to explore the effects of two questionnaire formats
(grouping versus randomizing items) on the convergent
and discriminant validity of two sets of questionnaire
measures. The first set of measures consisted of
satisfaction scales that had demonstrated acceptable
psychometric properties in earlier studies; the second
set of scales were job characteristics measures that had
shown discriminant validity problems in previous research.
Correlational data were collected from two
groups of employed business administration students
(N = 80 in each group) concurrently (Study 1) and at
two points in time (Study 2). The results of the analyses
showed that the grouped format was superior to
the random format, particularly with respect to the
weaker measures (the job characteristics scales). The
results also illustrated and supported the usefulness of
LISREL confirmatory factor analysis in studies of convergent
and discriminant validity. Index terms: confirmatory
factor analysis, convergent validity, discriminant
validity, LISREL analysis, questionnaire formats,
scale validity.
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Schriesheim, Chester A, Solomon, Esther & Kopelman, Richard E. (1989). Grouped versus randomized format: An investigation of scale convergent and discriminant validity using LISREL confirmatory factor analysis. Applied Psychological Measurement, 13, 19-32. doi:10.1177/014662168901300103
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doi:10.1177/014662168901300103
Suggested citation
Schriesheim, Chester A.; Solomon, Esther; Kopelman, Richard E.. (1989). Grouped versus randomized format: An investigation of scale convergent and discriminant validity using LISREL confirmatory factor analysis. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/107028.
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