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Psychological Treatment Inventory (PTI). Applying the Mixed rasch Model to Attachment Styles Scale (ASS)

Authors: GIANNINI, MARCO; A. Gori;

Psychological Treatment Inventory (PTI). Applying the Mixed rasch Model to Attachment Styles Scale (ASS)

Abstract

This study describes a new instrument for evaluating interventions and outcomes using repeated measurements. The PTI (psychological treatment inventory) includes interacting biological, psychological, behavioural, social and environmental factors across various domains central to planning psychological treatment and evaluating its outcome. This study aims to explain the theoretical principles underlying the PTI and verify the dimensionality of the PTI ASS (attachment styles scale). Data from 1,800 individuals were analyzed by the means of WIN-MIRA (Windows-Mixed Item Response Analysis). Item parameters and Person Parameters were analyzed and discussed. Results confirmed that the PTI-ASS has good psychometrics properties and can be adopted for measuring attachment for both research and practice.

Country
Italy
Keywords

item response theory, attachment, test development, psychotherapy integration

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green