Stanislav Kolenikov

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Gustavo AngelesAssociate Professor, University of North Carolina at Chapel HillVerified email at unc.edu
Kenneth BollenDepartment of Psychology and Neuroscience, Department of Sociology, University of North Carolina atVerified email at unc.edu
Trent D. BuskirkNovak Family Distinguished Professor of Data Science and Chair, Applied Statistics and OperationsVerified email at bgsu.edu
Victoria SavaleiUniversity of British ColumbiaVerified email at ubc.ca
Elena PaltsevaSITE, Stockholm School of EconomicsVerified email at hhs.se
Antje KirchnerMetaVerified email at uni-konstanz.de
Craig A. HillRTI InternationalVerified email at rti.org
David Y HwangUniversity of North Carolina School of MedicineVerified email at med.unc.edu
Jocelyn Elise CrowleyProfessor of Public Policy, Rutgers, The State University of New JerseyVerified email at rutgers.edu
Lori ThombsAssociate Professor of StatisticsVerified email at missouri.edu
Shawn BauldryPurdue UniversityVerified email at purdue.edu
Zoran ObradovicData Analytics and Biomedical Informatics Center, Temple UniversityVerified email at temple.edu
Mario CallegaroGoogleVerified email at google.com
patrick sturgisprofessor of quantitative social science, London School of EconomicsVerified email at lse.ac.uk
Claudia SenikParis School of EconomicsVerified email at psemail.eu
Michael LokshinECA Chief Economist Office, World BankVerified email at worldbank.org
Ana Lucía Córdova CazarProfesora Business School, Universidad San Francisco de QuitoVerified email at usfq.edu.ec
Kyley McGeeneyPew Research CenterVerified email at pewresearch.org
Matt JansNational Center for Health Statistics (NHANES)Verified email at cdc.gov
Jeff GillAmerican UniversityVerified email at american.edu

Stanislav Kolenikov

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social statistics survey methodology survey statistics quantitative research methods


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Socioeconomic status measurement with discrete proxy variables: Is principal component analysis a reliable answer? S Kolenikov, G Angeles Review of Income and Wealth 55 (1), 128-165, 2009	903	2009
The use of discrete data in PCA: theory, simulations, and applications to socioeconomic indices S Kolenikov, G Angeles Chapel Hill: Carolina Population Center, University of North Carolina 20, 1-59, 2004	539	2004
Testing negative error variances: Is a Heywood case a symptom of misspecification? S Kolenikov, KA Bollen Sociological Methods & Research 41 (1), 124-167, 2012	358	2012
The use of discrete data in principal component analysis with applications to socio-economic indices S Kolenikov, G Angeles CPC/MEASURE Working Paper 85, 2004	253	2004
A decomposition analysis of regional poverty in Russia S Kolenikov, A Shorrocks Review of Development Economics 9 (1), 25-46, 2005	239	2005
Resampling variance estimation for complex survey data S Kolenikov The Stata Journal 10 (2), 165-199, 2010	207	2010
Calibrating survey data using iterative proportional fitting (raking) S Kolenikov The Stata Journal 14 (1), 22-59, 2014	203	2014
Confirmatory factor analysis using confa S Kolenikov The Stata Journal 9 (3), 329-373, 2009	123	2009
Constrained versus unconstrained estimation in structural equation modeling. V Savalei, S Kolenikov Psychological methods 13 (2), 150, 2008	116	2008
Spatiotemporal modeling of PM_2.5 data with missing values RL Smith, S Kolenikov, LH Cox Journal of Geophysical Research: Atmospheres 108 (D24), 2003	101	2003
Poverty trends in Russia during the transition A Shorrocks, S Kolenikov Unpublished manuscript, 2001	69	2001
Flexible work options and mothers' perceptions of career harm JE Crowley, S Kolenikov The Sociological Quarterly 55 (1), 168-195, 2014	53	2014
Finding respondents in the forest: A comparison of logistic regression and random forest models for response propensity weighting and stratification TD Buskirk, S Kolenikov Survey Methods: Insights from the Field, 1-17, 2015	51	2015
Evaluating three approaches to statistically adjust for mode effects S Kolenikov, C Kennedy Journal of Survey Statistics and Methodology 2 (2), 126-158, 2014	51	2014
Model-implied instrumental variable—generalized method of moments (MIIV-GMM) estimators for latent variable models KA Bollen, S Kolenikov, S Bauldry Psychometrika 79, 20-50, 2014	47	2014
Sex differences and attitudes toward living donor kidney transplantation among urban black patients on hemodialysis A Gillespie, H Hammer, S Kolenikov, A Polychronopoulou, V Ouzienko, ... Clinical Journal of the American Society of Nephrology: CJASN 9 (10), 1764, 2014	45	2014
Biases of parameter estimates in misspecified structural equation models S Kolenikov Sociological methodology 41 (1), 119-157, 2011	44	2011
Post-stratification or non-response adjustment? S Kolenikov Survey Practice 9 (3), 2016	33	2016
The use of discrete data in principal component analysis for socio-economic status evaluation S Kolenikov, G Angeles Carolina, NC: University of North Carolina at Chapel Hill, 2005	32	2005
Big Data meets survey science: A collection of innovative methods CA Hill, PP Biemer, TD Buskirk, L Japec, A Kirchner, S Kolenikov, ... John Wiley & Sons, 2020	30	2020

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