In this study we provide a thorough analysis of the properties of self anchoring rating scales that give to respondents the chance to self-anchor according to their responses. In social sciences the reflexive perspective suggests that the researcher’s opinions do not prevail over those of the respondents. Self-anchoring category rating scales seem to fulfill this requirement, since they allow respondents to define the anchor items by referring their personal experiences to the construct being measured. By way of example, we present a research on action in the participants’ social contexts and the criteria defined for its description and measurement, which led to the use of a self-anchoring scale.

Self-anchoring scale · Psychometrics · Test–retest reliability · Internal consistency · Measurement invariance · Multi-group structural equation modeling · End anchors / DI NAPOLI, Immacolata; Arcidiacono, Caterina. - STAMPA. - (2012), pp. 73-86.

Self-anchoring scale · Psychometrics · Test–retest reliability · Internal consistency · Measurement invariance · Multi-group structural equation modeling · End anchors

DI NAPOLI, IMMACOLATA;ARCIDIACONO, CATERINA
2012

Abstract

In this study we provide a thorough analysis of the properties of self anchoring rating scales that give to respondents the chance to self-anchor according to their responses. In social sciences the reflexive perspective suggests that the researcher’s opinions do not prevail over those of the respondents. Self-anchoring category rating scales seem to fulfill this requirement, since they allow respondents to define the anchor items by referring their personal experiences to the construct being measured. By way of example, we present a research on action in the participants’ social contexts and the criteria defined for its description and measurement, which led to the use of a self-anchoring scale.
2012
9783642213076
Self-anchoring scale · Psychometrics · Test–retest reliability · Internal consistency · Measurement invariance · Multi-group structural equation modeling · End anchors / DI NAPOLI, Immacolata; Arcidiacono, Caterina. - STAMPA. - (2012), pp. 73-86.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/561178
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