This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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506
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Education
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| Abstract - #306537 |
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Title:
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Instructor Characteristics Associated with Student Appreciation of Statistics
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Author(s):
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Philip Yates*+ and Michael Posner
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Companies:
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California State Polytechnic University, Pomona and Villanova University
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Address:
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Department of Mathematics & Statistics, Pomona, CA, 91768, United States
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Keywords:
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Pretest-Posttest scores ;
Hierarchical linear models ;
Students' attitudes
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Abstract:
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Statistics is taken by more students across various disciplines and colleges than almost any other subject. There is, therefore, staffing demands for these courses to be taught by those with varying experience, both academic and practical, in statistics. Using the Survey of Attitudes Toward Statistics (SATS), we examine various instructor characteristics' impacts on students' attitudes toward statistics. This analysis incorporates hierarchical linear models (HLMs) to examine the difference in SATS scores based on instructor characteristics.
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