Paul Biemer
Biographic Data
| ID | 4402248 |
|---|---|
| NAME | Paul Biemer |
| GIVEN NAMES | Paul |
| FAMILY NAME | Biemer |
| SIGNATURE | BIEMER P |
| AFFILIATIONS | RTI International, Raleigh, NC, USA |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 36 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2003 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 2 |
The third national survey of child and adolescent well-being: Design overview and methodological lessons learned during the baseline wave
Big Data Meets Survey Science”
This article is part of the SSCR special issue on Big Data and Survey Science, guest edited by Adam Eck (Oberlin College), Ana Lucía Córdova Cazar (Universidad San Francisco de Quito), Mario Callegaro (Google Ltd.), and Paul Biemer (RTI International & UNC-CH)
Big Data in Survey Research: Aapor Task Force Report
Recent years have seen an increase in the amount of statistics describing different phenomena based on “Big Data.” This term includes data characterized not only by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, and the way in which they a…
Survey Measurement and Process Quality
Introduction to Part 2
Approaches to the Modeling of Measurement Errors
An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election
Journal Article An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election Get access PAUL BIEMER, PAUL BIEMER Search for other works by this author on: Oxford Academic Google Scholar RALPH FOLSOM, RALPH FOLSOM Search for other works by this author on: Oxford Academic Google Scholar RICHARD KULKA, RICHARD KULKA Search for other works by this author on: Oxford Academic Google Scholar JUDITH LESSLER…
Big Data in Survey Research: Aapor Task Force Report
Recent years have seen an increase in the amount of statistics describing different phenomena based on “Big Data.” This term includes data characterized not only by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, and the way in which they a…
An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election
Journal Article An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election Get access PAUL BIEMER, PAUL BIEMER Search for other works by this author on: Oxford Academic Google Scholar RALPH FOLSOM, RALPH FOLSOM Search for other works by this author on: Oxford Academic Google Scholar RICHARD KULKA, RICHARD KULKA Search for other works by this author on: Oxford Academic Google Scholar JUDITH LESSLER…
Big Data Meets Survey Science”
This article is part of the SSCR special issue on Big Data and Survey Science, guest edited by Adam Eck (Oberlin College), Ana Lucía Córdova Cazar (Universidad San Francisco de Quito), Mario Callegaro (Google Ltd.), and Paul Biemer (RTI International & UNC-CH)
An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election
Journal Article An Evaluation of Procedures and Operations Used by the Voter News Service for the 2000 Presidential Election Get access PAUL BIEMER, PAUL BIEMER Search for other works by this author on: Oxford Academic Google Scholar RALPH FOLSOM, RALPH FOLSOM Search for other works by this author on: Oxford Academic Google Scholar RICHARD KULKA, RICHARD KULKA Search for other works by this author on: Oxford Academic Google Scholar JUDITH LESSLER…
Approaches to the Modeling of Measurement Errors
Introduction to Part 2
Survey Measurement and Process Quality
Big Data in Survey Research: Aapor Task Force Report
Recent years have seen an increase in the amount of statistics describing different phenomena based on “Big Data.” This term includes data characterized not only by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, and the way in which they a…
Big Data Meets Survey Science”
This article is part of the SSCR special issue on Big Data and Survey Science, guest edited by Adam Eck (Oberlin College), Ana Lucía Córdova Cazar (Universidad San Francisco de Quito), Mario Callegaro (Google Ltd.), and Paul Biemer (RTI International & UNC-CH)
The third national survey of child and adolescent well-being: Design overview and methodological lessons learned during the baseline wave
Computer Science (7 works) · Big data (2 works) · Data mining (2 works) · Data science (2 works) · Data-Driven Disease Surveillance (2 works) · Human Mobility and Location-Based Analysis (2 works) · Library science (2 works) · Political science (2 works) · Psychology (2 works) · Advanced Statistical Process Monitoring (1 works)