Brigham Young University - Statistics
Quality Response Analyst at Family Search
Research
Dan
Williams
Provo, Utah Area
I strive to serve God and humanity through using my talents and efforts to improve understanding of human opinions and their connections to family, products, brands and opinions so that people can make appropriate decisions based on truth.
Instructor
Teach Sampling Design course and Basic Statistics
Owner
Consulting on survey research, questionnaire and sample design and statistical analysis.
Quality Response Analyst
Daniel worked at FamilySearch as a Quality Response Analyst
Quality Response Analyst
Daniel worked at Family Search as a Quality Response Analyst
Director of Data Services
Oversaw 70 international and domestic data processors.
M.S.
Statistics
Master Thesis applied Quality Improvement Cycle to the Course and Student Evaluations done at Brigham Young University.
Participated as a student in the Utah Colleges Exit Poll
Did Statistics 334 class project for MegaDiamond in sampling methodology.
Ran the LARC Division I-A NCAA football rankings
Taught Stat 224 - Introduction to Statistical Computing as a graduate student.
Worked in the Statistical Consulting Center
B.S.
Statistics, Minors in Journalism, Spanish Teaching
Instructor
Teach Sampling Design course and Basic Statistics
Survey Practice
Recent coverage issues, such as cell phone only households, have raised concerns about the landline random digit dialing (RDD) sampling frame that previously has been a mainstay of telephone research. Address Based Sampling (ABS) has been suggested as a possible solution to these issues. We decided to explore the potential benefits and detriments of using ABS techniques for phone data collection. We concluded that we were fairly successful in driving the ABS unmatched sample respondents to the phone, but that the response rates were still very poor on the ABS unmatched sample. The response biases by different demographics were equivalent in the two sample frames and there were no significant differences in the grocery shopping behavior. Lastly, although the cost for dialing the matched ABS sample was less than the RDD sample, overall the ABS design was more expensive.
Survey Practice
Recent coverage issues, such as cell phone only households, have raised concerns about the landline random digit dialing (RDD) sampling frame that previously has been a mainstay of telephone research. Address Based Sampling (ABS) has been suggested as a possible solution to these issues. We decided to explore the potential benefits and detriments of using ABS techniques for phone data collection. We concluded that we were fairly successful in driving the ABS unmatched sample respondents to the phone, but that the response rates were still very poor on the ABS unmatched sample. The response biases by different demographics were equivalent in the two sample frames and there were no significant differences in the grocery shopping behavior. Lastly, although the cost for dialing the matched ABS sample was less than the RDD sample, overall the ABS design was more expensive.
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