Journal of the Royal Statistical Society Series A, Royal Statistical Society | IDEAS/RePEc

Journal of the Royal Statistical Society Series A, Royal Statistical Society | IDEAS/RePEc
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Royal Statistical Society
Journal of the Royal Statistical Society Series A
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: Papers published in Journal of the Royal Statistical Society Series A
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Arnaud Chevalier
Series handle:
RePEc:bla:jorssa
ISSN:
0964-1998
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Content
December 2022, Volume 185, Issue S2
167-169
Big data meets survey science
by
Don Jang & Ana Lucía Córdova Cazar
170-196
Intercensal updating using structure‐preserving methods and satellite imagery
by
Till Koebe & Alejandra Arias‐Salazar & Natalia Rojas‐Perilla & Timo Schmid
197-224
Neural forecasting of the Italian sovereign bond market with economic news
by
Sergio Consoli & Luca Tiozzo Pezzoli & Elisa Tosetti
225-245
Non‐participation in smartphone data collection using research apps
by
Florian Keusch & Sebastian Bähr & Georg‐Christoph Haas & Frauke Kreuter & Mark Trappmann & Stephanie Eckman
246-269
Understanding political news media consumption with digital trace data and natural language processing
by
Ruben L. Bach & Christoph Kern & Denis Bonnay & Luc Kalaora
270-287
Estimating the number of persons with HIV in jails via web scraping and record linkage
by
Bonnie E. Shook‐Sa & Michael G. Hudgens & Andrew L. Kavee & David L. Rosen
288-309
Seismonomics: Listening to the heartbeat of the economy
by
Luca Tiozzo Pezzoli & Elisa Tosetti
310-342
Analysing establishment survey non‐response using administrative data and machine learning
by
Benjamin Küfner & Joseph W. Sakshaug & Stefan Zins
343-363
Is Facebook's advertising data accurate enough for use in social science research? Insights from a cross‐national online survey
by
André Grow & Daniela Perrotta & Emanuele Del Fava & Jorge Cimentada & Francesco Rampazzo & Sofia Gil‐Clavel & Emilio Zagheni & René D. Flores & Ilana Ventura & Ingmar Weber
364-386
Evaluation of consent to link Twitter data to survey data
by
Zeina Mneimneh
387-407
Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour
by
Henning Silber & Johannes Breuer & Christoph Beuthner & Tobias Gummer & Florian Keusch & Pascal Siegers & Sebastian Stier & Bernd Weiß
408-436
When survey science met web tracking: Presenting an error framework for metered data
by
Oriol J. Bosch & Melanie Revilla
437-460
Pictures instead of survey questions: An experimental investigation of the feasibility of using pictures in a housing survey
by
Goran Ilic & Peter Lugtig & Barry Schouten & Maarten Streefkerk & Joris Mulder & Pradeep Kumar & Seyit Höcük
461-484
A diagnostic framework for the Bradley–Terry model
by
Weichen Wu & Nynke Niezink & Brian Junker
485-514
Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants
by
Daniel Gladwell & Gurleen Popli & Aki Tsuchiya
515-546
Fertility, economic incentives and individual heterogeneity: Register data‐based evidence from France and Germany
by
Cäcilia Lipowski & Ralf A. Wilke & Bertrand Koebel
547-572
COVID‐19 clinical footprint to infer about mortality
by
Carlos E. Rodríguez & Ramsés H. Mena
573-589
When the ends do not justify the means: Learning who is predicted to have harmful indirect effects
by
Kara E. Rudolph & Iván Díaz
590-619
Expectile regression for multi‐category outcomes with application to small area estimation of labour force participation
by
James Dawber & Nicola Salvati & Enrico Fabrizi & Nikos Tzavidis
620-643
A probabilistic formalisation of contextual bias: From forensic analysis to systemic bias in the criminal justice system
by
Maria Cuellar & Jacqueline Mauro & Amanda Luby
644-667
Bayesian spatio‐temporal modeling for the inpatient hospital costs of alcohol‐related disorders
by
Zhen Yu & Keming Yu & Wolfgang K. Härdle & Xueliang Zhang & Kai Wang & Maozai Tian
668-691
A semi‐parametric approach to model‐based sensitivity analysis in observational studies
by
Bo Zhang & Eric J. Tchetgen Tchetgen
724-755
Multivariate mixture model for small area estimation of poverty indicators
by
Agne Bikauskaite & Isabel Molina & Domingo Morales
756-756
Sampling design and analysis
by
June Elijah Simakani
757-757
Innovative methods for rare disease drug development
by
Min‐Hua Jen
758-758
Probability, Choice and Reason
by
Simon French
759-759
Handbook of multiple comparisons
by
Amit K. Chowdhry
759-760
Review of ‘Object Oriented Data Analysis’
by
Arthur Pewsey
761-762
Random circulant matrices
by
Richard H. Glendinning
762-763
Replication and evidence factors in observational studies
by
Li‐Pang Chen
763-764
Protecting your privacy in a data‐driven world
by
Stefan Stein
764-765
Bayesian Modeling and Computation in Python Learning
by
Stanley E. Lazic
765-766
R for health data science
by
Michael Greenacre
767-767
Introduction to High‐Dimensional Statistics
by
Li‐Pang Chen
768-768
Project‐based R companion to introductory statistics
by
Colin McNicholl
769-769
Martingale methods in statistics
by
Li‐Pang Chen
770-770
Supervised Machine learning for text analysis in R
by
James Todd
771-771
Linear regression models: Applications in R
by
Md. Moyazzem Hossain
772-772
Security risk models for cyber insurance
by
Morteza Aalabaf‐Sabaghi
773-773
Subjective well‐being and social media
by
Dawn Holmes
774-774
Machine learning for knowledge discovery with R, Methodologies for Modeling, Inference and Prediction
by
Amit K. Chowdhry
775-775
Handbook of survival analysis
by
Morteza Aalabaf‐Sabaghi
776-777
Probability, statistics, and data: a fresh approach using R
by
Shalabh
777-778
Handbook of regression analysis with applications in R (second edition)
by
Anoop Chaturvedi
778-779
Artificial intelligence and causal inference
by
Stanley E. Lazic
779-780
Rank‐based methods for shrinkage and selection: With application to machine learning
by
Shalabh
November 2022, Volume 185, Issue S1
3-4
‘Introduction’
by
Peter J. Diggle & Sylvia Richardson
5-15
Are epidemic growth rates more informative than reproduction numbers?
by
Kris V. Parag & Robin N. Thompson & Christl A. Donnelly
16-27
On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations and relationships with other ecological measures
by
Nicholas P. Jewell & Joseph A. Lewnard
28-35
Predicting epidemics and the impact of interventions in heterogeneous settings: Standard SEIR models are too pessimistic
by
Luc E. Coffeng & Sake J. de Vlas
36-38
Justin Lessler and C. Jessica E. Metcalf’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021
by
Justin Lessler & C. Jessica E. Metcalf
39-40
Philip D. O’Neill’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on Covid‐19 Transmission: 9 June 2021
by
Philip D. O’Neill
41-43
John Kingman’s invited discussion contribution to the papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 Transmission: 9 June 2021
by
John Kingman
44-46
John Dagpunar's discussion contribution to papers in Session 1 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
John Dagpunar
47-48
Peter J. Diggle’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Peter J. Diggle
49-50
Lorenzo Pellis’ Discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Lorenzo Pellis
51-52
Sylvia Richardson’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Sylvia Richardson
53-54
Steven Riley’s discussion contribution to papers in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Steven Riley
55-60
Authors’ reply to the discussion of ‘Are epidemic growth rates more informative than reproduction numbers?’ by Parag et al. in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Kris V. Parag & Robin N. Thompson & Christl A. Donnelly
61-62
Authors’ reply to the discussion of ‘On the use of the reproduction number for SARS‐CoV‐2: Estimation, misinterpretations, and relationships with other ecological measures’ by Jewell & Lewnard in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Nicholas P. Jewell & Joseph A. Lewnard
63-64
Authors’ reply to the discussion of ‘Predicting epidemics and the impact of interventions in heterogeneous settings: standard SEIR models are too pessimistic’ by Coffeng & de Vlas in Session 1 of the Royal Statistical Society’s Special Topic Meeting on COVID‐19 transmission: 9 June 2021
by
Luc E. Coffeng & Sake J. de Vlas
65-85
Efficient Bayesian inference of instantaneous reproduction numbers at fine spatial scales, with an application to mapping and nowcasting the Covid‐19 epidemic in British local authorities
by
Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Nenad Tomasev & Jonathan Read & Peter J. Diggle
86-95
A COVID‐19 model for local authorities of the United Kingdom
by
Swapnil Mishra & James A. Scott & Daniel J. Laydon & Harrison Zhu & Neil M. Ferguson & Samir Bhatt & Seth Flaxman & Axel Gandy
96-98
Gavin J. Gibson's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Gavin J. Gibson
99-102
Guy Nason's invited discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Guy Nason
103-104
Sebastian Funk, Sam Abbott and Johannes Bracher's discussion contribution to the papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Sebastian Funk & Sam Abbott & Johannes Bracher
105-106
Christopher Jewell's discussion contribution to papers in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Christopher Jewell
107-109
Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Yee Whye Teh & Bryn Elesedy & Bobby He & Michael Hutchinson & Sheheryar Zaidi & Avishkar Bhoopchand & Ulrich Paquet & Ne‐nad Tomasev & Jonathan Read & Peter J. Diggle
110-111
Authors' reply to the discussion of ‘A COVID‐19 Model for Local Authorities of the United Kingdom’ by Mishra et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Swapnil Mishra & James A. Scott & Daniel J. Laydon & Harrison Zhu & Neil M. Ferguson & Samir Bhatt & Seth Flaxman & Axel Gandy
112-130
Estimation of reproduction numbers in real time: Conceptual and statistical challenges
by
Lorenzo Pellis & Paul J. Birrell & Joshua Blake & Christopher E. Overton & Francesca Scarabel & Helena B. Stage & Ellen Brooks‐Pollock & Leon Danon & Ian Hall & Thomas A. House & Matt J. Keeling & Jonathan M. Read & JUNIPER Consortium & Daniela De Angelis
131-142
Assessing the effect of school closures on the spread of COVID‐19 in Zurich
by
Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held & the SUSPend modelling consortium
143-144
Adam Kucharski's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Adam Kucharski
145-146
Gianpaolo Scalia Tomba's invited discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Gianpaolo Scalia Tomba
147-147
Peter J. Diggle's discussion contribution to the papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on Covid‐19 Transmission: 11 June 2021
by
Peter J. Diggle
148-149
Steven Riley's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Steven Riley
150-151
Jasmina Panovska‐Griffiths' discussion contribution to papers in Session 3 of the Royal Statistical Society's special topic meeting on COVID‐19 transmission: 11 June 2021
by
Jasmina Panovska‐Griffiths
152-152
Ian Reynold's discussion contribution to papers in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Ian Reynolds
153-157
Authors' reply to the discussion of ‘Estimation of reproduction numbers in real time: conceptual and statistical challenges’ by Pellis et al. in Session 3 of the Royal Statistical Society's Special Topic Meeting on COVID‐19 transmission: 11 June 2021
by
Lorenzo Pellis & Paul J. Birrell & Joshua Blake & Ian Hall & Thomas A. House & Christopher E. Overton & Francesca Scarabel & Helena B. Stage & Daniela De Angelis
158-164
Session 3 of the RSS Special Topic Meeting on Covid‐19 Transmission: Replies to the discussion
by
Maria Bekker‐Nielsen Dunbar & Felix Hofmann & Leonhard Held
October 2022, Volume 185, Issue 4
1471-1496
Statistics in times of increasing uncertainty
by
Sylvia Richardson
1497-1498
Proposal of the vote of thanks for ‘Statistics in times of increasing uncertainty’, Sylvia Richardson's Presidential Address
by
Deborah Ashby
1499-1500
Discussion of Presidential address: Statistics in times of increasing uncertainty by Sylvia Richardson
by
David Spiegelhalter
1501-1503
Preface to the Special Issue in memory of Fred Smith and Chris Skinner
by
Paul A. Smith & Peter W. F. Smith
1504-1521
Post‐strata based on sample quantiles
by
Wayne A. Fuller
1522-1540
Analysis of clustered survey data based on two‐stage informative sampling and associated two‐level models
by
Jae Kwang Kim & J.N.K. Rao & Yonghyun Kwon
1541-1559
Secure big data collection and processing: Framework, means and opportunities
by
Li‐Chun Zhang & Gustav Haraldsen
1560-1583
Estimating monthly labour force figures during the COVID‐19 pandemic in the Netherlands
by
Jan van den Brakel & Martijn Souren & Sabine Krieg
1584-1612
Weighting, informativeness and causal inference, with an application to rainfall enhancement
by
Ray Chambers & Setareh Ranjbar & Nicola Salvati & Barbara Pacini
1613-1643
Using saturated count models for user‐friendly synthesis of large confidential administrative databases
by
James Jackson & Robin Mitra & Brian Francis & Iain Dove
1644-1662
Measuring risk of re‐identification in microdata: State‐of‐the art and new directions
by
Natalie Shlomo & Chris Skinner
1663-1678
Fitting multivariate multilevel models under informative sampling
by
Pedro Luis do N. Silva & Fernando Antônio da S. Moura
1679-1706
Estimating regional income indicators under transformations and access to limited population auxiliary information
by
Nora Würz & Timo Schmid & Nikos Tzavidis
1707-1732
Single‐month unemployment rate estimates for the Brazilian Labour Force Survey using state‐space models
by
Caio Gonçalves & Luna Hidalgo & Denise Silva & Jan van den Brakel
1733-1756
Sample design for analysis using high‐influence probability sampling
by
Robert G. Clark & David G. Steel
1757-1777
Time series modelling of repeated survey data for estimation of finite population parameters
by
Danny Pfeffermann
1778-1792
Quantifying the economic response to COVID‐19 mitigations and death rates via forecasting purchasing managers' indices using generalised network autoregressive models with exogenous variables
by
Guy P. Nason & James L. Wei
1793-1814
Small data, big time—A retrospect of the first weeks of COVID‐19
by
Qingyuan Zhao
1815-1816
Proposer of the vote of thanks and contribution to the Discussion of ‘Statistical Aspects of the Covid‐19 Pandemic’
by
Ruth Studley
1817-1819
Seconder of the vote of thanks and contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Sheila M. Bird
1819-1821
Tao Wang's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Tao Wang
1821-1822
Xiaoping Shi, Yue Zhang and Yucheng Dong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Xiaoping Shi & Yue Zhang & Yucheng Dong
1823-1824
Christine P. Chai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Christine P. Chai
1824-1825
Anna L. Choi and Tze Leung Lai's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Anna L. Choi
1826-1827
Alex R. Cook, Kwok Pui Choi and Weng Kee Wong's contribution to the ‘First Discussion Meeting on Statistical Aspects of the COVID‐19 Pandemic’
by
Alex R. Cook & Kwok Pui Choi & Weng Kee Wong
1827-1828
Peter J. Diggle's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Peter J. Diggle
1829-1830
Alessio Farcomeni and Marco Geraci's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Alessio Farcomeni & Marco Geraci
1831-1832
Shuyi Ge, Oliver Linton and Shaoran Li's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Shuyi Ge & Oliver Linton & Shaoran Li
1832-1833
Kingsuk Jana, Lagnajita Basu and Kaushik Jana's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Kingsuk Jana & Lagnajita Basu & Kaushik Jana
1833-1834
Kuldeep Kumar's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Kuldeep Kumar
1834-1835
Kuldeep Kumar's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Kuldeep Kumar
1836-1837
Shaoran Li, Oliver Linton and Shuyi Ge's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Shaoran Li & Oliver Linton & Shuyi Ge
1838-1839
Jorge Mateu's first contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Jorge Mateu
1839-1840
Jorge Mateu's second contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Jorge Mateu
1840-1841
Garib Nath Singh's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Garib Nath Singh
1841-1843
Wei Zhong, Chuang Wan and Changliang Zou's contribution to the ‘First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Wei Zhong & Chuang Wan & Changliang Zou
1844-1846
Nason and Wei's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Guy P. Nason & James L. Wei
1846-1848
Zhao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Qingyuan Zhao
1849-1854
Jiang, Zhao and Shao's reply to the Discussion of ‘The First Discussion Meeting on Statistical Aspects of the Covid‐19 Pandemic’
by
Feiyu Jiang & Zifeng Zhao & Xiaofeng Shao
1855-1881
Bayesian analysis of social influence
by
Johan Koskinen & Galina Daraganova
1882-1902
Adjusting misclassification using a second classifier with an external validation sample
by
Jonas F. Schenkel & Li‐Chun Zhang
1903-1930
Nearest neighbour ratio imputation with incomplete multinomial outcome in survey sampling
by
Chenyin Gao & Katherine Jenny Thompson & Jae Kwang Kim & Shu Yang
1931-1951
Using randomized rounding of linear programs to obtain unweighted natural strata that balance many covariates
by
Katherine Brumberg & Dylan S. Small & Paul R. Rosenbaum
1952-1978
Don't cross the line: Bounding the causal effect of hypergamy violation on domestic violence in India
by
Punarjit Roychowdhury & Gaurav Dhamija
1979-2006
Temporal and spatial Taylor's law: Application to Japanese subnational mortality rates
by
Yang Yang & Han Lin Shang & Joel E. Cohen
2007-2034
Modelling time to maximum competency in medical student progress tests
by
Daniel McNeish & Denis Dumas & Dario Torre & Neil Rice
2035-2072
Credit line exposure at default modelling using Bayesian mixed effect quantile regression
by
Jennifer Betz & Maximilian Nagl & Daniel Rösch
2073-2096
Poverty and inequality mapping based on a unit‐level log‐normal mixture model
by
Aldo Gardini & Enrico Fabrizi & Carlo Trivisano
2097-2120
A Bayesian hierarchical model with integrated covariate selection and misclassification matrices to estimate neonatal and child causes of death
by
Amy R. Mulick & Shefali Oza & David Prieto‐Merino & Francisco Villavicencio & Simon Cousens & Jamie Perin
2121-2155
Mapping ex ante risks of COVID‐19 in Indonesia using a Bayesian geostatistical model on airport network data
by
Jacqueline D. Seufert & Andre Python & Christoph Weisser & Elías Cisneros & Krisztina Kis‐Katos & Thomas Kneib
2156-2178
Optimising precision and power by machine learning in randomised trials with ordinal and time‐to‐event outcomes with an application to COVID‐19
by
Nicholas Williams & Michael Rosenblum & Iván Díaz
2179-2202
Assessing epidemic curves for evidence of superspreading
by
Joe Meagher & Nial Friel
2203-2233
Sparse temporal disaggregation
by
Luke Mosley & Idris A. Eckley & Alex Gibberd
2234-2276
A Bayesian multivariate hierarchical growth curve model to examine cumulative socio‐economic (dis)advantage among childless adults and parents
by
Florianne C. J. Verkroost
2282-2284
Bill McLennan (1942–2022)
by
Dennis Trewin
2284-2285
A W (Freda) Kemp (1930–2022)
by
Richard Cormack
2285-2286
Pierre Dagnelie (1933–2022)
by
Geert Molenberghs
2287-2288
Iain David Currie (1946–2022)
by
Paul Eilers & Maria Durbàn
2288-2289
Barry Anthony John Quirke (1941–2022)
by
Tony Haws
2289-2291
Ole Eiler Barndorff‐Nielsen, 1935‐2022
by
Steffen Lauritzen & Michael Sørensen
2292-2294
Norman Richard Draper (1931—2022)
by
Dennis K. J. Lin
2295-2306
Sir David Cox: 1924–2022
by
Anthony C. Davison & Valerie S. Isham & Nancy M. Reid
2307-2309
Estimation of the combined effects of ageing and seasonality on mortality risk: An application to Spain
by
Jose M. Pavía & Josep Lledó
July 2022, Volume 185, Issue 3
747-748
A celebration of Harvey Goldstein’s lifetime contributions: Foreword
by
James R. Carpenter
748-752
A celebration of Harvey Goldstein’s lifetime contributions: Harvey Goldstein and his time at the Institute of Child Health
by
T. J. Cole
753-758
A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on multilevel modelling methods and applications
by
William J. Browne
758-762
A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on educational research and statistics
by
George Leckie
763-767
A celebration of Harvey Goldstein’s lifetime contributions: A journey in data linkage with Harvey Goldstein
by
Katie Harron
768-772
The future of online data collection in social surveys: Challenges, developments and applications
by
Olga Maslovskaya & Bella Struminskaya & Gabriele Durrant
773-797
From German Internet Panel to Mannheim Corona Study: Adaptable probability‐based online panel infrastructures during the pandemic
by
Carina Cornesse & Ulrich Krieger & Marie‐Lou Sohnius & Marina Fikel & Sabine Friedel & Tobias Rettig & Alexander Wenz & Sebastian Juhl & Roni Lehrer & Katja Möhring & Elias Naumann & Maximiliane Reifenscheid & Annelies G. Blom
798-821
Transitioning a panel survey from in‐person to predominantly web data collection: Results and lessons learned
by
Paul P. Biemer & Kathleen Mullan Harris & Brian J. Burke & Dan Liao & Carolyn Tucker Halpern
822-850
The impact of using the Web in a mixed‐mode follow‐up of a longitudinal birth cohort study: Evidence from the National Child Development Study
by
Alissa Goodman & Matt Brown & Richard J. Silverwood & Joseph W. Sakshaug & Lisa Calderwood & Joel Williams & George B. Ploubidis
851-871
Representativeness in six waves of CROss‐National Online Survey (CRONOS) panel
by
Olga Maslovskaya & Peter Lugtig
872-890
Innovating the collection of open‐ended answers: The linguistic and content characteristics of written and oral answers to political attitude questions
by
Konstantin Gavras & Jan Karem Höhne & Annelies G. Blom & Harald Schoen
891-915
Introducing Web in a mixed‐mode establishment survey: Effects on nonresponse
by
Patrick Gleiser & Joseph W. Sakshaug & Marieke Volkert & Peter Ellguth & Susanne Kohaut & Iris Möller
916-932
Using a responsive survey design to innovate self‐administered mixed‐mode surveys
by
Tobias Gummer & Pablo Christmann & Sascha Verhoeven & Christof Wolf
933-954
Switching from telephone to web‐first mixed‐mode data collection: Results from the Transition into Adulthood Supplement to the US Panel Study of Income Dynamics
by
Narayan Sastry & Katherine A. McGonagle
955-980
A new experiment on the use of images to answer web survey questions
by
Oriol J. Bosch & Melanie Revilla & Danish Daniel Qureshi & Jan Karem Höhne
981-1003
Do previous survey experience and participating due to an incentive affect response quality? Evidence from the CRONOS panel
by
Hannah Schwarz & Melanie Revilla & Bella Struminskaya
1004-1029
Density‐based clustering of social networks
by
Giovanna Menardi & Domenico De Stefano
1030-1048
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