Testing the Working Alliance Inventory (WAI) in a French primary care setting

Guédeney, Nicole; Fermanian, Jacques; Curt, Florence; Bifulco, Antonia

doi:10.1007/s00127-005-0972-4

Cited by 21 publications

(12 citation statements)

References 36 publications

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“…The discrepancies might be attributed to the version studied (full vs. short version) or the type of analyses conducted (CFA vs. EFA). For instance, Guedeney, Fermanian, Curt, and Bifulco (2005) confirmed the predictive value of the instrument on the quality of the working alliance evolution. Nevertheless, according to an exploratory factor analysis (EFA), they proposed a new factor structure in two orthogonal factors.…”

supporting

confidence: 70%

“…The analysis done on the 36 items of the WAI-C allowed extraction of three factors using Cattell's criterion, explaining 41.04% of the total variance. The first four eigenvalues were (Guedeney et al, 2005). Indeed, Kaiser's criterion suggested to extract 10 factors, explaining 61.80% of the total variance, and a parallel analysis suggested to consider 5 factors, explaining 45.20% of the total variance.…”

Section: Efasmentioning

confidence: 99%

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The Psychometric Properties of the WAI in a Career Counseling Setting: Comparison With a Personal Counseling Sample

Perdrix

Roten

Kolly

et al. 2010

Journal of Career Assessment

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This study investigated the psychometric properties of the Working Alliance Inventory-Client version (WAI-C) and Working Alliance Inventory-Short and revised (WAI-SR) in a career counseling setting. Moreover, it compared the impact of career versus personal counseling settings based on results obtained using the WAI-SR. Subjects were 188 French-speaking career counseling clients and 95 French-speaking personal counseling clients, mainly students. For the career counseling sample, total reliability was .87 for the WAI-C and .76 for the WAI-SR. The shape of the distribution was normal but the variance was significantly lower for the career counseling sample. Exploratory factor analyses (EFAs) and confirmatory factor analyses (CFAs) confirmed the presence of an overall working alliance factor but indicated a clearer hierarchical structure for the WAI-SR than for the WAI-C. The psychometric properties seemed only slightly affected by the counseling setting, suggesting that this inventory is also relevant for career counseling, especially the WAI-SR, which has a more robust factorial structure.

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supporting

confidence: 70%

Section: Efasmentioning

confidence: 99%

The Psychometric Properties of the WAI in a Career Counseling Setting: Comparison With a Personal Counseling Sample

Perdrix

Roten

Kolly

et al. 2010

Journal of Career Assessment

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“…The Working Alliance Inventory (WAI; Horvath & Greenberg, 1986) and its short versions (Hatcher & Gillaspy, 2006;Tracey & Kokotovic, 1989) operationalize Bordin's concept of the therapeutic alliance. While numerous studies demonstrated its significance for outcome evaluation (e.g., Keller, Zoellner, & Feeny, 2010;Webb et al, 2011), the factor structure is an issue of tremendous concern (Guédeney, Fermanian, Curt, & Bifulco, 2005). No study could confirm the original three-subscale structure referring to tasks, goals and bonds.…”

Section: Introductionmentioning

confidence: 98%

Change mechanisms in psychotherapy: Multiperspective assessment and relation to outcome

Mander

Wittorf

Schlarb

et al. 2013

Psychotherapy Research

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The study aimed at constructing a reliable and valid post-session questionnaire measuring general change mechanisms of psychotherapy with correspondent versions for patient and therapist perspectives. Therefore, 253 inpatients in early, middle, and late stages of psychotherapy completed the newly developed Scale for the Multiperspective Assessment of General Change Mechanisms in Psychotherapy (SACiP) and diverse outcome measures. The psychometric qualities of the SACiP were excellent as shown by (a) exploratory factor analyses on patient and therapist ratings, (b) confirmatory factor analyses on later measuring times, and (c) high internal consistencies. Supporting construct validity, the SACiP predicted outcome, as shown by correlational analyses and mixed effects modeling. Patient evaluations of change mechanisms were better predictors of outcome than the corresponding therapist evaluations.

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“…In contrast, De Vries et al utilised the Working Alliance Inventory‐Revised (WAI‐R) that was developed using Bordin’s conceptualisation of alliance comprised of mutual bonds (including trust), goals and tasks (Hatcher & Gillaspy, ; Holwerda et al, ; Horvath, ). The WAI‐R scale was initially developed for use in psychotherapy but has also been adapted for use in the medical field (Guédeney, Fermanian, Curt, & Bifulco, ). Trevino et al, Epstein et al, and Fenton et al used The Human Connection Scale (THC) (Epstein & Street Jr., ; Fenton et al, ; Mack, Wolfe, Grier, Cleary, & Weeks, ; Trevino et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…Trust was frequently a subscale or measured by individual items within studies that measured the patient and oncologist that was developed using Bordin's conceptualisation of alliance comprised of mutual bonds (including trust), goals and tasks (Hatcher & Gillaspy, 2006;Holwerda et al, 2013;Horvath, 1994). The WAI-R scale was initially developed for use in psychotherapy but has also been adapted for use in the medical field (Guédeney, Fermanian, Curt, & Bifulco, 2005 2007; Fenton et al, 2018;Mack, Wolfe, Grier, Cleary, & Weeks, 2006;Trevino et al, 2014). This scale was developed specifically to measure the working alliance, defined as mutual understanding, caring and trust between patients and their oncologists.…”

Section: Relationship Dimensions and Measuresmentioning

confidence: 99%

A systematic review of the methods utilised to measure the relationship between cancer patients and oncologists: Implications for future research and practice

et al. 2018

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Introduction The patient–physician relationship is a critical component of patient‐centred health care. The patient–oncologist relationship is particularly important due to the uncertainties that surround treatment of cancer. The goal of the current review was to summarise current methodological approaches to studying the relationship between cancer patients and oncologists. Methods A systematic review using PsychInfo, Ebsco, PubMed and Google Scholar was performed using combinations and variations of the MESH terms: “relationship,” “doctor‐patient,” and “oncology.” The included studies explicitly measured the “relationship” as an independent or dependent variable. Data were extracted and analysed. Results The 13 studies included in the review were published from 2004 to 2018. There was little agreement between studies on the definition of the patient–oncologist relationship. Trust was most frequently measured, but methods varied. Most studies evaluated the patient perspective (n = 10). The few studies that considered the oncologist perspective did not measure their perception of the relationship. Conclusions The current review demonstrates that current approaches used to assess the patient–oncologist relationship are inconsistent. These differences may limit our understanding of patient needs in current research and practice. Future research should focus on the use of a relational lens as a theoretical framework to assess the patient–oncologist relationship.

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Testing the Working Alliance Inventory (WAI) in a French primary care setting

Abstract: The WAI is shown to be applicable to primary care social work settings to measure the working alliance phenomenon and predict disruption of practitioner-client relationship.

Cited by 21 publications

References 36 publications

The Psychometric Properties of the WAI in a Career Counseling Setting: Comparison With a Personal Counseling Sample

The Psychometric Properties of the WAI in a Career Counseling Setting: Comparison With a Personal Counseling Sample

Change mechanisms in psychotherapy: Multiperspective assessment and relation to outcome

A systematic review of the methods utilised to measure the relationship between cancer patients and oncologists: Implications for future research and practice

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