ArticleAlcoholism treatment quarterly2017
The Reliability and Reciprocity of a Social Network Measure.
Article in Alcoholism treatment quarterly, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Social networks illustrate harm reduction mechanisms in recovery homes.Journal of prevention & intervention in the community · 2025Article
- Complex Contexts within Oxford Houses: Psychiatrically Comorbid Social Networks.Alcoholism treatment quarterly · 2023Article
- The Importance of Social Support in Recovery Populations: Toward a Multilevel Understanding.Alcoholism treatment quarterly · 2023Article
- How Do Perceived Social Support and Community Social Network Alleviate Psychological Distress During COVID-19 Lockdown? The Mediating Role of Residents' Epidemic Prevention Capability.Frontiers in public health · 2022Article
- Dynamic Interdependence of Advice Seeking, Loaning, and Recovery Characteristics in Recovery Homes.Journal Of Human Behavior In The Social Environment · 2022Article
- Network measures of advice-seeking and resource sharing are related to well-being in recovery homes.The International journal on drug policy · 2021Article
- Exploring possible network properties facilitating recovery for residents of sober living homes.International medicine (Antioch, Turkey) · 2021Article
- Recovery home networks as social capital.Journal of community psychology · 2020Article
- An Empirically-based Theory of the Relationships Among Social Embeddedness, Economic Viability, Learned Recovery Skills and Perceived Quality of Life in Recovery Homes.Alcoholism treatment quarterly · 2020Article
- Quality of life as a predictor of social relationships in Oxford House.Journal of substance abuse treatment · 2019Article
- Advice seeking and loaning of money related to relapse in recovery homes.Journal of community & applied social psychologyArticle
- Recovery homes: A social network analysis of Oxford Houses for Native Americans.Journal of ethnicity in substance abuseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
There have been few efforts to systematically develop reliable and valid measures of social networks, particularly in studies dealing with individuals having substance use disorders. In the current study, individuals living in recovery homes called Oxford Houses completed a 6-item measure of social networks. The Cronbach's alpha was .85 and a confirmatory factor analysis found excellent fit statistics with all items having substantial (> .70) load factors. In addition, the measure was independent of age, sex, and ethnicity and significantly related to length of stay in the recovery homes and quality of life. The authors have found that this instrument works well as an ego network with adequate psychometric properties and empirical relations to other recovery variables.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.