Evidence map›Paper›PMID 27088267›Full record

ArticleRehabilitation psychology2016

Validation of the Social Provisions Scale in people with multiple sclerosis.

Chung-Yi Chiu, Robert W Motl, Nicole Ditchman

Abstract readValidation Study
In one paragraph

Article in Rehabilitation psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 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

3 authors.

Chung-Yi ChiuDepartment of Kinesiology and Community Health.
Robert W MotlDepartment of Kinesiology and Community Health.
Nicole DitchmanDepartment of Psychology, Illinois Institute of Technology.

Funding

Physical Activity and Quality of Life in Multiple SclerosisR03NS054050 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MOTL, ROBERT WAYNE · 2006 to 2007
$146k
NINDS NIH HHS R03 NS054050
6 · The paper itself

Abstract

objectiveThis study examined the factorial and construct validity of the Social Provisions Scale (SPS) in a sample of people with multiple sclerosis (MS).

methodParticipants included 292 individuals with MS (83.9% women) recruited from the Greater Illinois, Gateway, and Indiana chapters of the National Multiple Sclerosis Society. Participants completed the SPS and pain, fatigue, depression, anxiety, MS self-efficacy, quality of life, and satisfaction with life measures. Factorial validity was tested using confirmatory factor analysis (CFA), and construct validity was examined based on the strength of bivariate correlations with scores on related measures.

resultsFindings from the CFA indicated that a first-order, 6-factor measurement model provided a good fit for the 24 items of the SPS (CFI = .94, TLI = .93, RMSEA = 0.07) and that the 6 factors could be described by a single, second-order factor of the overall social provisions (CFI = .93, TLI = .92, RMSEA = 0.08). Cronbach's alpha was .89 for the global score and between .66 and .81 for the 6 subscales. The SPS global and subscale scores correlated significantly with satisfaction with life, depression, anxiety, MS self-efficacy, and quality of life measures.

conclusionsFindings from this study support the factorial validity, construct validity, and reliability of the SPS as a measure of social provisions for use with people with MS. (PsycINFO Database Record

Indexed as

Health Services AccessibilitySick RoleSocial SupportSurveys and QuestionnairesAnxiety DisordersDepressive DisorderHumansIllinoisIndianaInterpersonal RelationsLonelinessModels, PsychologicalMultiple SclerosisPersonal SatisfactionPsychometricsQuality of Life

Identifiers

PMID27088267
PMCPMC4982855

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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.