Evidence map›Paper›PMID 25267103›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2015

Factor analyses of a social support scale using two methods.

Yu Yu, Cheng-Shi Shiu, Joyce P Yang, Mingjiong Wang, Jane M Simoni, Wei-ti Chen, Joy Cheng, Hongxin Zhao

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In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Yu YuDepartment of Social Medicine and Health Management, Public Health School, Central South University, Upper Mayuanlin Road 238, Changsha, 410008, Hunan, China.
Cheng-Shi Shiu
Joyce P Yang
Mingjiong Wang
Jane M Simoni
Wei-ti Chen
Joy Cheng
Hongxin Zhao

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Deepa Rao · 1988 to 2026
$104.9M
Mentoring Diverse Scientists in Global HIV Research on Mental Health & AdherenceK24MH093243 · NIMH · UNIVERSITY OF WASHINGTON · PI SIMONI, JANE M. · 2011 to 2014
$590k
Self- and Family-Management Intervention in HIV+ Chinese WomenK23NR014107 · NINR · YALE UNIVERSITY · PI CHEN, WEI-TI · 2013 to 2015
$374k
Developing an Intervention for Disclosure of Parental HIV to Children in ChinaR21HD074141 · NICHD · UNIVERSITY OF WASHINGTON · PI SIMONI, JANE M. · 2012 to 2013
$360k
NIAID NIH HHS P30 AI027757NICHD NIH HHS R21 HD074141NIMH NIH HHS K24 MH093243NINR NIH HHS K23 NR014107
6 · The paper itself

Abstract

purposeEvaluation and comparison of the factor structure of the Medical Outcomes Study Social Support Survey (MOS-SSS) using both confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) with two samples of people living with HIV/AIDS in China.

methodsSecondary analyses were conducted with data from two comparable samples of 320 people living with HIV/AIDS from the same hospital using the same inclusion criteria. The first sample of 120 was collected in 2006, and the second sample of 200 was collected in 2012. For each sample, CFA was first performed on the original four-factor structure to check model fit, followed by EFA to explore other factor structures and a subsequent CFA for model fit statistics to be compared to the original four-factor CFA.

resultsIn both samples, CFA on the originally hypothesized four-factor structure yielded an acceptable model fit. The EFA yielded a two-factor solution in both samples, with different items included in each factor for the two samples. Comparison of CFA on the a priori four-factor structure and the new two-factor structure in both samples indicated that both factor structures were of acceptable model fit, with the four-factor model performing slightly better than the two-factor model.

conclusionFactor structure of the MOS-SSS is method-dependent, with CFA supporting a four-factor structure, while EFA yielded a two-factor structure in two separate samples. We need to be careful in selecting the analytic method when applying the MOS-SSS to various samples and choose the factor structure that best fits the theoretical model.

Indexed as

Data CollectionPatient Outcome AssessmentSocial SupportAcquired Immunodeficiency SyndromeAdultAgedAged, 80 and overChinaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedModels, StatisticalQuality of LifeYoung Adult

Identifiers

PMID25267103
PMCPMC5096450

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Registered trials

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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.