The Experts below are selected from a list of 96486 Experts worldwide ranked by ideXlab platform
Jon A. Krosnick - One of the best experts on this subject based on the ideXlab platform.
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National Surveys Via RDD Telephone Interviewing Versus the Internet: Comparing Sample Representativeness and Response Quality
2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD Telephone interviewing, by the Internet with a probability sample, and by the Internet with a nonprobability sample of people who volunteered to do surveys for money. The probability samples were more representative of the nation than the nonprobability sample in terms of demographics and electoral participation, even after weighting. The nonprobability sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The Telephone Data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Internet Data, and the probability Internet sample manifested more random error and satisficing than did the volunteer Internet sample. Practice at completing surveys increased reporting accuracy among the probability Internet sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the nonprobability Internet sample. Thus, the nonprobability Internet method yielded the most accurate self-reports from the most biased sample, while the probability Internet sample manifested the optimal combination of sample composition accuracy and self-report accuracy. These results suggest that Internet Data collection from a probability sample yields more accurate results than do Telephone interviewing and Internet Data collection from nonprobability samples.
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national surveys via rdd Telephone interviewing versus the internet comparing sample representativeness and response quality
Public Opinion Quarterly, 2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD Telephone interviewing, by the In- ternet with a probability sample, and by the Internet with a nonprobability sample of people who volunteered to do surveys for money. The probabil- ity samples were more representative of the nation than the nonprobability sample in terms of demographics and electoral participation, even after weighting. The nonprobability sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The Telephone Data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Inter- net Data, and the probability Internet sample manifested more random error and satisficing than did the volunteer Internet sample. Practice at completing surveys increased reporting accuracy among the probability Internet sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the nonprobability Internet sam- ple. Thus, the nonprobability Internet method yielded the most accurate self-reports from the most biased sample, while the probability Internet sample manifested the optimal combination of sample composition ac- curacy and self-report accuracy. These results suggest that Internet Data collection from a probability sample yields more accurate results than do
Linchiat Chang - One of the best experts on this subject based on the ideXlab platform.
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National Surveys Via RDD Telephone Interviewing Versus the Internet: Comparing Sample Representativeness and Response Quality
2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD Telephone interviewing, by the Internet with a probability sample, and by the Internet with a nonprobability sample of people who volunteered to do surveys for money. The probability samples were more representative of the nation than the nonprobability sample in terms of demographics and electoral participation, even after weighting. The nonprobability sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The Telephone Data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Internet Data, and the probability Internet sample manifested more random error and satisficing than did the volunteer Internet sample. Practice at completing surveys increased reporting accuracy among the probability Internet sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the nonprobability Internet sample. Thus, the nonprobability Internet method yielded the most accurate self-reports from the most biased sample, while the probability Internet sample manifested the optimal combination of sample composition accuracy and self-report accuracy. These results suggest that Internet Data collection from a probability sample yields more accurate results than do Telephone interviewing and Internet Data collection from nonprobability samples.
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national surveys via rdd Telephone interviewing versus the internet comparing sample representativeness and response quality
Public Opinion Quarterly, 2009Co-Authors: Linchiat Chang, Jon A. KrosnickAbstract:In a national field experiment, the same questionnaires were administered simultaneously by RDD Telephone interviewing, by the In- ternet with a probability sample, and by the Internet with a nonprobability sample of people who volunteered to do surveys for money. The probabil- ity samples were more representative of the nation than the nonprobability sample in terms of demographics and electoral participation, even after weighting. The nonprobability sample was biased toward being highly engaged in and knowledgeable about the survey's topic (politics). The Telephone Data manifested more random measurement error, more survey satisficing, and more social desirability response bias than did the Inter- net Data, and the probability Internet sample manifested more random error and satisficing than did the volunteer Internet sample. Practice at completing surveys increased reporting accuracy among the probability Internet sample, and deciding only to do surveys on topics of personal interest enhanced reporting accuracy in the nonprobability Internet sam- ple. Thus, the nonprobability Internet method yielded the most accurate self-reports from the most biased sample, while the probability Internet sample manifested the optimal combination of sample composition ac- curacy and self-report accuracy. These results suggest that Internet Data collection from a probability sample yields more accurate results than do
A.f. Martin - One of the best experts on this subject based on the ideXlab platform.
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nist speaker recognition evaluations utilizing the mixer corpora 2004 2005 2006
IEEE Transactions on Audio Speech and Language Processing, 2007Co-Authors: M.a. Przybocki, A.f. MartinAbstract:NIST has coordinated annual evaluations of text-independent speaker recognition from 1996 to 2006. This paper discusses the last three of these, which utilized conversational speech Data from the Mixer Corpora recently collected by the Linguistic Data Consortium. We review the evaluation procedures, the matrix of test conditions included, and the performance trends observed. While most of the Data is collected over Telephone channels, one multichannel test condition utilizes a subset of Mixer conversations recorded simultaneously over multiple microphone channels and a Telephone line. The corpus also includes some non-English conversations involving bilingual speakers, allowing an examination of the effect of language on performance results. On the various test conditions involving English language conversational Telephone Data, considerable performance gains are observed over the past three years.
Ramanan R. - One of the best experts on this subject based on the ideXlab platform.
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A Unified Approach for the Optimal Constellation Design of Satellites in Low-Earth Circular/Elliptical Orbits for Continuous Coverage
'American Institute of Aeronautics and Astronautics (AIAA)', 2020Co-Authors: Aggarwal Garima, Ramanan R.Abstract:Low-Earth Orbit constellations have become commercially viable in the fields of global mobile Telephone, Data messaging, and broad-band Data communications services etc. In this area, Walker and Draim have made major contributions to the optimal constellation designs of satellites in Low-Earth Circular and Elliptical Orbits respectively, for continuous global coverage. This paper presents a novel unified approach for continuous global as well as zonal coverage which overcomes the limitations of both the approaches for constellation designs. The constellation designs have been optimized using the optimization technique of Differential Evolution instead of the conventional Grid Search Method. All proposed designs have been verified in SaVi and STK
R V Ramanan - One of the best experts on this subject based on the ideXlab platform.
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a unified approach for the optimal constellation design of satellites in low earth circular elliptical orbits for continuous coverage
AIAA Scitech 2020 Forum, 2020Co-Authors: Garima Aggarwal, R V RamananAbstract:Low-Earth Orbit constellations have become commercially viable in the fields of global mobile Telephone, Data messaging, and broad-band Data communications services etc. In this area, Walker and Draim have made major contributions to the optimal constellation designs of satellites in Low-Earth Circular and Elliptical Orbits respectively, for continuous global coverage. This paper presents a novel unified approach for continuous global as well as zonal coverage which overcomes the limitations of both the approaches for constellation designs. The constellation designs have been optimized using the optimization technique of Differential Evolution instead of the conventional Grid Search Method. All proposed designs have been verified in SaVi and STK.
