In psychometric sciences the choice of a good response scale is a typical problem. Several studies (see, in particular, Bonanomi, 2004) proved that different measurement scales lead to highly dissimilar evaluations of goods/services, in particular in the measurement of observable variables in latent variables models. So, this requires that proper cograduation indices should be available, in order to compare the attitude of different measurement scales (typically ordinal scales) in assigning the various and different number of allowed response modalities.
Bonanomi, A., A Bootstrap procedure to test the cograduation between two ordinal scales: a proposal of two new indices, Contributed paper, in INNOVATION AND SOCIETY. STATISTICAL METHODS FOR SERVICE EVALUATION-BOOK OF ABSTRACTS, (Firenze, 11-09 May 2011), Firenze University Press, Firenze 2011: 35-35 [http://hdl.handle.net/10807/19927]
A Bootstrap procedure to test the cograduation between two ordinal scales: a proposal of two new indices
Bonanomi, Andrea
2011
Abstract
In psychometric sciences the choice of a good response scale is a typical problem. Several studies (see, in particular, Bonanomi, 2004) proved that different measurement scales lead to highly dissimilar evaluations of goods/services, in particular in the measurement of observable variables in latent variables models. So, this requires that proper cograduation indices should be available, in order to compare the attitude of different measurement scales (typically ordinal scales) in assigning the various and different number of allowed response modalities.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.