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Activity Number:
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284
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #303425 |
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Title:
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Optimizing Call Time of Day in an RDD Survey
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Author(s):
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S. Sean Hu*+ and Lina Balluz and Willaim Garvin and Mohamed Qayad
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Companies:
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CDC and CDC and CDC and CDC
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Address:
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4770 Buford Highway, N.E., Atlanta, GA, 30341,
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Keywords:
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RDD ; Telephone Survey ; Survey methods
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Abstract:
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As demand for call scheduling efficiency in a telephone survey increases, two areas that have received scant attention in call scheduling are the so-called seasonality effect and most effective time of day to call. We will use detailed calling history data from 2008 Behavioral Risk Factor Surveillance System (BRFSS) to identify ways to reduce efforts for cases which have historically yielded very few completes and to reduce interviewers' burden by calling more efficiently. We will use logistic regression to test whether seasonality affects the likelihood of a first attempt answer for calls at different time period of day. We'll examine which time period of day the first attempt calls made could be significantly more likely to result in a higher rate of completion. We'll further demonstrate significant difference in this correlation by seasonality (quarterly) and geographic areas.
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