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Psychometric evaluation of the Working Alliance Inventory?Therapist version: Current and new short forms
CUNY, NY 10016 USA.
Stockholm Univ, Sweden.
Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences.
2019 (English)In: Psychotherapy Research, ISSN 1050-3307, E-ISSN 1468-4381Article in journal (Refereed) Epub ahead of print
Abstract [en]

Background: The Working Alliance Inventory (WAI) and its short forms are widely used, although the properties of the therapists? versions have been little studied. Method: We examined the psychometric properties of two short forms (WAI-S-T, WAI-SR-T), and explored the creation of a psychometrically stronger short form using contemporary measure development techniques. Well-fitting items from the full 36-item WAI were identified in a development sample (131 therapists, 688 patients) using multi-level Bayesian Structural Equation Modeling, accounting for therapist rated effects. Multi-level Item Response Theory (IRT) methods aided creation of a revised short form (WAI-S-T-IRT). Factor structures of the three forms were assessed using multi-level ML estimation with robust standard errors. Results: Collinearity problems for the Goal and Task dimensions led to testing a two-factor model (Goal?Task, Bond). All three measures showed satisfactory fit; the WAI-S-T-IRT fit slightly better but differences were minor. Testing the structures in an independent sample (N?=?1117) yielded essentially the same results. No version showed strong measurement invariance. Discussion: Continued use of current therapist forms is supported; differentiation of theoretical dimensions is difficult with current measures, and may not be possible with self-report forms.

Place, publisher, year, edition, pages
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD , 2019.
Keywords [en]
alliance; therapist alliance; Working Alliance Inventory; alliance measures; measure development; Bayesian SEM; multi-level IRT
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:liu:diva-161382DOI: 10.1080/10503307.2019.1677964ISI: 000490808400001PubMedID: 31621525OAI: oai:DiVA.org:liu-161382DiVA, id: diva2:1367487
Available from: 2019-11-04 Created: 2019-11-04 Last updated: 2019-11-04

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf