The Process of Change in Systemic Family Therapy

Hardy, Nathan R.; Sabey, Allen K.; Anderson, Shayne R.

doi:10.1002/9781119438519.ch8

Cited by 3 publications

(3 citation statements)

References 156 publications

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“…Perhaps even more importantly, members of the family can disagree among themselves about the goals and tasks of therapy and bring varying degrees of commitment to collaborating with each other in therapy. This within-system alliance (Pinsof & Catherall, 1986) or shared sense of purpose (Friedlander et al, 2006) seems to be particularly important in successful treatment with couples and families (Anderson & Johnson, 2010;Hardy et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Validation of the intersession alliance measure: Individual, couple, and family versions

Anderson,

Johnson,

Witting

et al. 2024

J Marital Family Therapy

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Monitoring the therapeutic alliance throughout treatment can improve client outcomes and lead to improved care. The individual, couple, and family versions of the intersession alliance measure (IAM) were developed to facilitate routine monitoring of the expanded therapeutic alliance. Psychometric properties of the three versions of the IAM were examined using a clinical sample. Participants were drawn from clinics in the United States participating in the Marriage and Family Therapy Practice Research Network. Using this sample, results indicate that items on each version of the IAM load on one factor, are invariant across sex, and that each version has good internal consistency, test–retest reliability, and concurrent validity. The IAM‐C and IAM‐F also have good predictive validity, while the IAM‐I has more limited evidence for its predictive validity. These results suggest that the IAMs are valid and reliable measures that can facilitate the routine monitoring of the expanded therapeutic alliance in psychotherapy.

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Section: Literature Reviewmentioning

confidence: 99%

Validation of the intersession alliance measure: Individual, couple, and family versions

Anderson,

Johnson,

Witting

et al. 2024

J Marital Family Therapy

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“…Data on families' subjective experiences of interventions are vital for developing a richer understanding of the processes driving positive outcomes and the barriers to successful intervention (Hardy et al . 2020). Through understanding these experiences, future intervention research might adapt family‐systems interventions to best meet the needs of families of people with ID or who are autistic.…”

Section: Introductionmentioning

confidence: 99%

“…Whilst there is good evidence that family-systems interventions are effective with many populations, there is a poorer understanding of how they achieve positive outcomes (Johnson et al 2020). Data on families' subjective experiences of interventions are vital for developing a richer understanding of the processes driving positive outcomes and the barriers to successful intervention (Hardy et al 2020). Through understanding these experiences, future intervention research might adapt family-systems interventions to best meet the needs of families of people with ID or who are autistic.…”

Section: Introductionmentioning

confidence: 99%

Family‐systems interventions for families of people with an intellectual disability or who are autistic: a systematic review

Sutherland

Flynn

Kurzeja

et al. 2023

J intellect Disabil Res

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BackgroundFamily‐systems interventions have been proposed as one way of supporting families of people with an intellectual disability (ID) or who are autistic. This systematic review aimed to summarise what family‐systems interventions have been studied with this population, what evidence there is for their effectiveness and families' experiences of the interventions.MethodsThe review was preregistered on PROSPERO (CRD42022297516). We searched five electronic databases, identified 6908 records and screened 72 full texts. Study quality was evaluated using the Mixed Methods Appraisal Tool, and a narrative synthesis was used.ResultsWe identified 13 eligible articles with 292 participating families. Most studies reported positive effects of the interventions on wellbeing and family relationships, and families reported positive experiences. However, research quality was poor and there are no any sufficiently powered randomised controlled trials demonstrating family‐systems interventions' effectiveness for this population.ConclusionsThere is a need for higher‐quality research to establish whether family‐systems interventions are beneficial for families of people who have an ID or who are autistic.

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An Introduction and Illustration of Bayesian Modeling in Couple and Family Therapy Research

Johnson

Baldwin

2020

J Marital Family Therapy

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Bayesian modeling is becoming increasing popular as a method for data analyses in the social sciences and can move couple, marriage, and family therapy (C/MFT) research forward. Bayesian modeling helps researchers better understand the uncertainty of findings and incorporate previous research into analyses. Other benefits of Bayesian modeling are the straightforward interpretation of findings, high-quality inferences even with small samples (in combination with an informative prior), and the ability to work with complex data structures (observations nested in relationships and time points) which are common in C/MFT research. This article introduces the benefits of Bayesian modeling and provides an example of an Actor-Partner Interdependence Model using R. Information on how to conduct the same analyses using Stata and MPlus is provided in the Supplemental Information.

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The Process of Change in Systemic Family Therapy

Cited by 3 publications

References 156 publications

Validation of the intersession alliance measure: Individual, couple, and family versions

Validation of the intersession alliance measure: Individual, couple, and family versions

Family‐systems interventions for families of people with an intellectual disability or who are autistic: a systematic review

An Introduction and Illustration of Bayesian Modeling in Couple and Family Therapy Research

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