Community 63: Measure
Key words: Construct, measure, marketing
Interconnectedness
Missed connections
Community pairs with high citation-based distance but low semantic distance
From |
To |
Diff. Score |
Citation-Based Distance (Z) |
Semantic Distance (Z) |
---|---|---|---|---|
2.2 |
1.25 |
-0.95 | ||
1.99 |
0.99 |
-1 | ||
2.33 |
1.32 |
-1.01 | ||
2.25 |
1.31 |
-0.95 | ||
2.05 |
1.07 |
-0.98 | ||
2.04 |
1.07 |
-0.97 |
Central articles
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Measurement for the Social Sciences: The C-OAR-SE Method and Why It Must Replace Psychometrics
J. Rossiter. 2010.
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Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective
A. Diamantopoulos, M. Sarstedt, Christoph Fuchs, P. Wilczynski, Sebastian Kaiser. 2012.
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Marketing measurement revolution: the C-OAR-SE method and why it must replace psychometrics
J. Rossiter. 2011.
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Asking Good Survey Questions
S. Dolnicar. 2013.
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Appropriate use of single-item measures is here to stay
L. Bergkvist. 2015.
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A new C-OAR-SE-based content-valid and predictively valid measure that distinguishes brand love from brand liking
J. Rossiter. 2012.
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Avoiding measurement dogma : a response to Rossiter
E. Rigdon, K. Preacher, N. Lee, R. Howell, G. Franke, D. Borsboom. 2011.
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Validly Measuring Destination Image in Survey Studies
S. Dolnicar, B. GrĂ¼n. 2013.
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Towards a new paradigm of measurement in marketing
T. Salzberger, Monika Koller. 2013.
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Customer Delight
Adam Finn. 2012.