Advances in longitudinal survey methodology /

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Bibliographic Details
Imprint:Hoboken, NJ : John Wiley & Sons, Inc., 2021.
©2021
Description:1 online resource (xxvii, 516 pages) : illustrations.
Language:English
Series:Wiley series in probability and statistics
Wiley series in probability and statistics.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13683332
Hidden Bibliographic Details
Other authors / contributors:Lynn, Peter, 1966- editor.
ISBN:9781119376965
1119376963
9781119376958
1119376955
9781119376941
1119376947
9781119376934
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on August 23, 2021).
Summary:"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."--
Other form:Print version: Advances in longitudinal survey methodology First edition. Hoboken, NJ : Wiley, [2020] 9781119376934
Standard no.:10.1002/9781119376965

MARC

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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. 
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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). 
650 0 |a Longitudinal method.  |0 http://id.loc.gov/authorities/subjects/sh85078296 
650 0 |a Surveys  |x Methodology. 
650 2 |a Longitudinal Studies  |0 https://id.nlm.nih.gov/mesh/D008137 
650 6 |a Méthode longitudinale. 
650 6 |a Levés  |x Méthodologie. 
650 7 |a Longitudinal method  |2 fast 
650 7 |a Surveys  |x Methodology  |2 fast 
700 1 |a Lynn, Peter,  |d 1966-  |e editor.  |0 http://id.loc.gov/authorities/names/nb2002026265 
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 
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