Advances in longitudinal survey methodology
Published
Hoboken, NJ : John Wiley & Sons, Inc., 2021.
Status
Available Online
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Format
Language
English
ISBN
9781119376965, 1119376963, 9781119376958, 1119376955, 9781119376941, 1119376947
UPC
10.1002/9781119376965
Notes
Bibliography
Includes bibliographical references and index.
Description
"The methodology of longitudinal surveys is a specialist topic which has evolved from the field of survey methodology. Survey methodology itself has evolved over the last century or so, with an early focus on sampling theory (1890s to 1940s), followed by attention to question and questionnaire design (1940s to 1970s) and obtaining respondent participation (1980s to 2000s). More recent developments included web survey methods and mixed mode methods, other uses of new technologies, data linkage, the use of paradata. Though the first longitudinal surveys began in the 1960s, such surveys were rare until the 1980s. Researchers became increasingly aware of various unique features and opportunities of longitudinal surveys and methodological research into these unique features developed rapidly throughout the 1990s and 2000s. The data produced by longitudinal surveys allow researchers to better understand dynamic processes of change, including processes of cause-and-effect, that can barely be addressed by data from cross-sectional surveys. An understanding of the implications of the methodological options available for the design and implementation of such surveys will help researchers to produce better longitudinal data in future."--,Provided by publisher.
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Lynn, P. (2021). Advances in longitudinal survey methodology . John Wiley & Sons, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Lynn, Peter, 1966-. 2021. Advances in Longitudinal Survey Methodology. Hoboken, NJ: John Wiley & Sons, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Lynn, Peter, 1966-. Advances in Longitudinal Survey Methodology Hoboken, NJ: John Wiley & Sons, Inc, 2021.
Harvard Citation (style guide)Lynn, P. (2021). Advances in longitudinal survey methodology. Hoboken, NJ: John Wiley & Sons, Inc.
MLA Citation, 9th Edition (style guide)Lynn, Peter. Advances in Longitudinal Survey Methodology John Wiley & Sons, Inc., 2021.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
a387d2e9-8434-7c0a-7863-6f354db1de23-eng
Grouping Information
Grouped Work ID | a387d2e9-8434-7c0a-7863-6f354db1de23-eng |
---|---|
Full title | advances in longitudinal survey methodology |
Author | peter lynn |
Grouping Category | book |
Last Update | 2025-01-24 12:33:29PM |
Last Indexed | 2025-02-07 03:23:44AM |
Book Cover Information
Image Source | contentCafe |
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First Loaded | Dec 23, 2024 |
Last Used | Dec 23, 2024 |
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Last File Modification Time | Dec 17, 2024 06:43:26 AM |
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245 | 0 | 0 | |a Advances in longitudinal survey methodology /|c edited by Peter Lynn. |
264 | 1 | |a Hoboken, NJ :|b John Wiley & Sons, Inc.,|c 2021. | |
264 | 4 | |c ©2021 | |
300 | |a 1 online resource (xxvii, 516 pages) :|b illustrations. | ||
336 | |a text|b txt|2 rdacontent | ||
337 | |a computer|b c|2 rdamedia | ||
338 | |a online resource|b cr|2 rdacarrier | ||
490 | 1 | |a Wiley series in probability and statistics | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | 0 | |t Refreshment Sampling for Longitudinal Surveys /|r Nicole Watson, Peter Lynn --|t Collecting Biomarker Data in Longitudinal Surveys /|r Meena Kumari, Michaela Benzeval --|t Innovations in Participant Engagement and Tracking in Longitudinal Surveys /|r Lisa Calderwood, Matt Brown, Emily Gilbert, Erica Wong --|t Effects on Panel Attrition and Fieldwork Outcomes from Selection for a Supplemental Study: Evidence from the Panel Study of Income Dynamics /|r Narayan Sastry, Paula Fomby, Katherine A McGonagle --|t The Effects of Biological Data Collection in Longitudinal Surveys on Subsequent Wave Cooperation /|r Fiona Pashazadeh, Alexandru Cernat, Joseph W Sakshaug --|t Understanding Data Linkage Consent in Longitudinal Surveys /|r Annette Jäckle, Kelsey Beninger, Jonathan Burton, Mick P Couper --|t Determinants of Consent to Administrative Records Linkage in Longitudinal Surveys: Evidence from Next Steps /|r Darina Peycheva, George Ploubidis, Lisa Calderwood --|t Consent to Data Linkage: Experimental Evidence from an Online Panel /|r Ben Edwards, Nicholas Biddle --|t Mixing Modes in Household Panel Surveys: Recent Developments and New Findings /|r Marieke Voorpostel, Oliver Lipps, Caroline Roberts --|t Estimating the Measurement Effects of Mixed Modes in Longitudinal Studies: Current Practice and Issues /|r Alexandru Cernat, Joseph W Sakshaug --|t Measuring Cognition in a Multi-Mode Context /|r Mary Beth Ofstedal, Colleen A McClain, Mick P Couper --|t Panel Conditioning: Types, Causes, and Empirical Evidence of What We Know So Far /|r Bella Struminskaya, Michael Bosnjak --|t Interviewer Effects in Panel Surveys /|r Simon Kühne, Martin Kroh --|t Improving Survey Measurement of Household Finances: A Review of New Data Sources and Technologies /|r Annette Jäckle, Mick P Couper, Alessandra Gaia, Carli Lessof --|t How to Pop the Question? Interviewer and Respondent Behaviours When Measuring Change with Proactive Dependent Interviewing /|r Annette Jäckle, Tarek Al Baghal, Stephanie Eckman, Emanuela Sala --|t Assessing Discontinuities and Rotation Group Bias in Rotating Panel Designs /|r Jan A Brakel, Paul A Smith, Duncan Elliott, Sabine Krieg, Timo Schmid, Nikos Tzavidis --|t Proper Multiple Imputation of Clustered or Panel Data /|r Martin Spiess, Kristian Kleinke, Jost Reinecke --|t Issues in Weighting for Longitudinal Surveys /|r Peter Lynn, Nicole Watson --|t Small-Area Estimation of Cross-Classified Gross Flows Using Longitudinal Survey Data /|r Yves Thibaudeau, Eric Slud, Yang Cheng --|t Nonparametric Estimation for Longitudinal Data with Informative Missingness /|r Zahoor Ahmad, Li-Chun Zhang. |
520 | |a "The methodology of longitudinal surveys is a specialist topic which has evolved from the field of survey methodology. Survey methodology itself has evolved over the last century or so, with an early focus on sampling theory (1890s to 1940s), followed by attention to question and questionnaire design (1940s to 1970s) and obtaining respondent participation (1980s to 2000s). More recent developments included web survey methods and mixed mode methods, other uses of new technologies, data linkage, the use of paradata. Though the first longitudinal surveys began in the 1960s, such surveys were rare until the 1980s. Researchers became increasingly aware of various unique features and opportunities of longitudinal surveys and methodological research into these unique features developed rapidly throughout the 1990s and 2000s. The data produced by longitudinal surveys allow researchers to better understand dynamic processes of change, including processes of cause-and-effect, that can barely be addressed by data from cross-sectional surveys. An understanding of the implications of the methodological options available for the design and implementation of such surveys will help researchers to produce better longitudinal data in future."--|c Provided by publisher. | ||
588 | |a Description based on online resource; title from digital title page (viewed on August 23, 2021). | ||
590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
650 | 0 | |a Longitudinal method.|9 45860 | |
650 | 0 | |a Surveys|x Methodology. | |
700 | 1 | |a Lynn, Peter,|d 1966-|e editor. | |
758 | |i has work:|a Advances in longitudinal survey methodology (Text)|1 https://id.oclc.org/worldcat/entity/E39PCFXWPw8BBhrB94PYh4xQRq|4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version:|t Advances in longitudinal survey methodology|b First edition.|d Hoboken, NJ : Wiley, [2020]|z 9781119376934|w (DLC) 2020033403 |
830 | 0 | |a Wiley series in probability and statistics.|9 218674 | |
856 | 4 | 0 | |u https://library.access.arlingtonva.us/login?url=https://learning.oreilly.com/library/view/~/9781119376934/?ar|x O'Reilly|z eBook |
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