期刊
NURSING RESEARCH
卷 61, 期 3, 页码 204-212出版社
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/NNR.0b013e3182539f4c
关键词
growth mixture modeling; latent class analysis; mixture modeling
类别
资金
- National Institutes of Health (NIH/NCRR Colorado CTSI) [UL1 RR025780]
- NIH [RO1 DA019139, RO1 ES015482, R01 CA 097356, 5M01 RR00997]
- State of New Mexico
Background: Latent variable mixture modeling is becoming increasingly popular in nursing research, in part due to the sophistication of the method in identifying relationships, patterns, and clusters in the data. Objective: The aim of this study was to provide an overview of mixture modeling techniques, specifically as applied to nursing research, and to present examples from two studies to illustrate how these techniques may be used crosssectionally and longitudinally. Methods: The first data example demonstrates the use of latent profile analysis as applied to the St. George respiratory symptoms questionnaire in 2,232 smokers from the Lovelace Smokers Cohort. The second data example demonstrates growth mixture modeling as applied to condom use trajectories among 728 at- risk adolescents on probation. Results: Three classes of symptoms emerged among the smokers cohort: those who were high on all symptoms, those who were low on all symptoms, and those who were high on cough and phlegm only. These classes were then distinguishable by participant gender and wood smoke exposure. In the second data example, four classes of condom use emerged. Only 59% of the sample indicated the previously reported decline in condom use over time; condom use remained stable or significantly increased for the remaining 41%. Discussion: Both sets of results provide additional substantive information about patterns in the data that were not apparent from previously applied traditional methodological techniques. Considerations for the use of latent variable mixture modeling in nursing research are discussed.
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