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Abstract Details
Activity Number:
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18
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Teaching of Statistics in the Health Sciences
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Abstract - #301356 |
Title:
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How to Analyze Binary Repeated Measures Data in Nursing Research
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Author(s):
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Yow-Wu Bill Wu*+ and Powhatan Wooldridge
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Companies:
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The State University of New York at Buffalo and The State University of New York at Buffalo
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Address:
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, , ,
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Keywords:
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repeated measures ;
nursing research ;
binary
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Abstract:
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Repeated measures analyses of a continuous dependent variable are common throughout the health sciences literature. However, repeated measures analyses of a binary dependent variable (such as hospitalized vs non-hospitalized) are seldom if ever found in nursing literature (although they are often found in other disciplines). The purpose of this presentation is to illustrate the appropriate presentation and analysis of binary repeated measures, by using an example data set. Data were based on the Supplement on Aging (SOA) to the 1984 National Health Interview Survey (NHIS). NHIS is a continuous survey of the civilian non-institutionalized population of the United States. Of 41,471 eligible households in the 1984 NHIS sample, 39,996 (96.4 percent) completed interviews were obtained. Two questions will be addressed: What are the effects of time (year between 1984 and 1990) and activity status on hospitalization? To what extent will the results of the analyses used to describe such effects be affected by the choice of analytical approach? The advantages and disadvantages of different approaches will be compared and contrasted.
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Authors who are presenting talks have a * after their name.
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