Nurses?? Job Satisfaction

verifiedmedium profile · Nursing Research · 1993

BLEGEN, MARY A.

10.1097/00006199-199301000-00007 · CrossRef: verified

How this was studied

paradigm: positivistpurpose: descriptivedesign: meta analytic synthesisidentification: nonetime: cross sectionaldata: quantitative survey

A meta-analytic synthesis — it pools many primary studies rather than running a single design, so there is no single-study diagram.

analysis: meta analysis · validity (validity): internal unclear · external addressed · construct addressed · statistical addressed · classifier confidence 0.85

What this article reports

The findings we extracted from this work, normalized into Principia’s relationship form (X → Y). Each feeds the synthesized models below.

job satisfactionorganizational commitment

r = 0.526 · grade B · unverified

Models this article informs

The meta-analytic priors this article contributes evidence to — its place in the broader synthesis.

In the authors’ words

The article’s own abstract.

The purpose of this study was to describe the magnitude of the relationships between nurses' job satisfaction and the variables most frequently associated with it. A meta-analysis of data from 48 studies with a total of 15,048 subjects revealed that job satisfaction was most strongly associated with stress (-.609) and organizational commitment (.526). Seven variables had correlations between .20 and .50: communication with supervisor, autonomy, recognition, routinization, communication with peers, fairness, and locus of control. Four other variables frequently included in these studies had low correlations (less than .20): age, education, tenure, and professionalization. The influence of employment site, date of study, and measures used on the size and consistency of estimates was described.

What the literature says about it

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4 supporting

Ancillary research

Neighbouring works in the citation graph around this article.

Assembled from Principia’s registry — bibliographic record, extracted effect sizes, the models they inform, and open-access citing literature.