Stanislav Kolenikov
Cited by
Cited by
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
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
Testing negative error variances: Is a Heywood case a symptom of misspecification?
S Kolenikov, KA Bollen
Sociological Methods & Research 41 (1), 124-167, 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
A decomposition analysis of regional poverty in Russia
S Kolenikov, A Shorrocks
Review of Development Economics 9 (1), 25-46, 2005
Resampling variance estimation for complex survey data
S Kolenikov
The Stata Journal 10 (2), 165-199, 2010
Calibrating survey data using iterative proportional fitting (raking)
S Kolenikov
The Stata Journal 14 (1), 22-59, 2014
Confirmatory factor analysis using confa
S Kolenikov
The Stata Journal 9 (3), 329-373, 2009
Constrained versus unconstrained estimation in structural equation modeling.
V Savalei, S Kolenikov
Psychological methods 13 (2), 150, 2008
Spatiotemporal modeling of PM2.5 data with missing values
RL Smith, S Kolenikov, LH Cox
Journal of Geophysical Research: Atmospheres 108 (D24), 2003
Poverty trends in Russia during the transition
A Shorrocks, S Kolenikov
Unpublished manuscript, 2001
Flexible work options and mothers' perceptions of career harm
JE Crowley, S Kolenikov
The Sociological Quarterly 55 (1), 168-195, 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
Evaluating three approaches to statistically adjust for mode effects
S Kolenikov, C Kennedy
Journal of Survey Statistics and Methodology 2 (2), 126-158, 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
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
Biases of parameter estimates in misspecified structural equation models
S Kolenikov
Sociological methodology 41 (1), 119-157, 2011
Post-stratification or non-response adjustment?
S Kolenikov
Survey Practice 9 (3), 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
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
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