Daniel Merkle
Biographic Data
| ID | 4453987 |
|---|---|
| NAME | Daniel Merkle |
| GIVEN NAMES | Daniel |
| FAMILY NAME | Merkle |
| SIGNATURE | MERKLE D |
| ORCID | 0000-0001-7792-375X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Presidential Address
Hello, AAPOR! I’m coming to you from the place I’ve spent much of my time in the last year, which is my home office. While it’s a disappointment to not be able to meet in person as we’ve done for each of AAPOR’s first 74 years, I’m pleased to be here to offer my thoughts on the past year. This is my 33rd consecutive AAPOR conference, and I hope that on the occasion of my 34th conference next year we will all once again be able to enjoy AAPOR as a…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
How Too Little Can Give You a Little Too Much
Accurately assessing the number of household phone lines in random-digit dialed (RDD) surveys for use in weighting has become more complicated over time. This study evaluates phone line weighting by asking an in-depth battery of seven questions designed to measure the number of available land lines in the home more precisely. The results show that this weighting correction is not so simple, and that inadequately parsing the type and use of househ…
Unintended Consequences
Survey researchers commonly use RDD (random digit dialing) samples that are purged of listed business telephone numbers to increase interviewer productivity by removing numbers that are assumed to be ineligible for household surveys. This study investigates this practice and finds an unintended consequence: an increase in household noncoverage. The data come from national RDD surveys using samples that were not purged of listed business numbers. …
Presidential Address
Hello, AAPOR! I’m coming to you from the place I’ve spent much of my time in the last year, which is my home office. While it’s a disappointment to not be able to meet in person as we’ve done for each of AAPOR’s first 74 years, I’m pleased to be here to offer my thoughts on the past year. This is my 33rd consecutive AAPOR conference, and I hope that on the occasion of my 34th conference next year we will all once again be able to enjoy AAPOR as a…
Computer Science (2 works) · Healthcare Policy and Management (2 works) · Phone (2 works) · Sociology (2 works) · Survey Methodology and Nonresponse (2 works) · Actuarial science (1 work) · Business (1 work) · Data mining (1 work) · Data-Driven Disease Surveillance (1 work) · Demography (1 work)