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Abstract Details
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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 - #301359 |
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Title:
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Modeling Strategy for Inflated Responses
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Author(s):
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An-Lin Cheng*+
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Companies:
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University of Missouri at Kansas City
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Address:
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, , ,
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Keywords:
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nursing research ;
LIkert scale ;
mixture distribution
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Abstract:
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Four or five points likert scale type instrument is commonly used in nursing research. Scores of instruments are created by summing or averaging responses across instrument items. They are usually treated as normal distributed, Poisson distributed or binary outcomes, then proper analysis method will be conducted. However, it is sometimes observed that the highest or lowest score are inflated, which will result in extremely skewed data. In this talk we will apply mixture distribution modeling technique for such response and compare with other commonly applied methods. The method is illustrated by a real dataset resulting from nursing research.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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