Abstract:
:Meta-analyses synthesize multiple primary studies and identify patterns of relationships. Differences in primary study methodological quality must be addressed for meta-analysis to produce meaningful results. No single standard exists for addressing these quality variations. Quality measurement scales are fraught with development and application problems. Several strategies have been proposed to address quality. Researchers can set minimum levels for inclusion or require that certain quality attributes be present. An inclusive method is to weight effect sizes by quality scores. This allows the inclusion of diverse studies but relies on questionable quality measures. By considering quality an empirical question, meta-analysts can examine associations between quality and effect sizes and thus preserve the purpose of meta-analysis to systematically examine data. Researchers increasingly are combining strategies to overcome the limitations of using a single approach. Future work to develop valid measures of primary study quality dimensions will improve the ability of meta-analysis to inform research and nursing practice.
journal_name
Res Nurs Healthjournal_title
Research in nursing & healthauthors
Conn VS,Rantz MJdoi
10.1002/nur.10092subject
Has Abstractpub_date
2003-08-01 00:00:00pages
322-33issue
4eissn
0160-6891issn
1098-240Xjournal_volume
26pub_type
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