Measurement Invariance in Cross-National Studies
Author
Abstract
Suggested Citation
DOI: 10.1177/0049124118789708
Download full text from publisher
References listed on IDEAS
- Robert Jennrich, 2006. "Rotation to Simple Loadings Using Component Loss Functions: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 173-191, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Conti, Gabriella & Frühwirth-Schnatter, Sylvia & Heckman, James J. & Piatek, Rémi, 2014.
"Bayesian exploratory factor analysis,"
Journal of Econometrics, Elsevier, vol. 183(1), pages 31-57.
- Gabriella Conti & Sylvia Fruehwirth-Schnatter & James J. Heckman & Remi Piatek, 2014. "Bayesian Exploratory Factor Analysis," Working Papers 2014-014, Human Capital and Economic Opportunity Working Group.
- Gabriella Conti & Sylvia Frühwirth-Schnatter & James J. Heckman & Rémi Piatek, 2014. "Bayesian Exploratory Factor Analysis," NRN working papers 2014-08, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
- Gabriella Conti & Sylvia Frühwirth-Schnatter & James Heckman & Rémi Piatek, 2014. "Bayesian exploratory factor analysis," CeMMAP working papers CWP30/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Gabriella Conti & Sylvia Frühwirth-Schnatter & James Heckman & Rémi Piatek, 2014. "Bayesian exploratory factor analysis," CeMMAP working papers 30/14, Institute for Fiscal Studies.
- Conti, Gabriella & Frühwirth-Schnatter, Sylvia & Heckman, James J. & Piatek, Rémi, 2014. "Bayesian Exploratory Factor Analysis," IZA Discussion Papers 8338, Institute of Labor Economics (IZA).
- Kawano, Shuichi & Fujisawa, Hironori & Takada, Toyoyuki & Shiroishi, Toshihiko, 2015. "Sparse principal component regression with adaptive loading," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 192-203.
- Jin, Shaobo & Moustaki, Irini & Yang-Wallentin, Fan, 2018. "Approximated penalized maximum likelihood for exploratory factor analysis: an orthogonal case," LSE Research Online Documents on Economics 88118, London School of Economics and Political Science, LSE Library.
- Shaobo Jin & Irini Moustaki & Fan Yang-Wallentin, 2018. "Approximated Penalized Maximum Likelihood for Exploratory Factor Analysis: An Orthogonal Case," Psychometrika, Springer;The Psychometric Society, vol. 83(3), pages 628-649, September.
- Alexander Robitzsch, 2022. "Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches," Stats, MDPI, vol. 5(3), pages 1-42, July.
- Liu, Xinyi Lin & Wallin, Gabriel & Chen, Yunxiao & Moustaki, Irini, 2023. "Rotation to sparse loadings using Lp losses and related inference problems," LSE Research Online Documents on Economics 118349, London School of Economics and Political Science, LSE Library.
- James Heckman & Rodrigo Pinto & Peter Savelyev, 2013.
"Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes,"
American Economic Review, American Economic Association, vol. 103(6), pages 2052-2086, October.
- Heckman, James J. & Pinto, Rodrigo & Savelyev, Peter A., 2012. "Understanding the Mechanisms Through Which an Influential Early Childhood Program Boosted Adult Outcomes," IZA Discussion Papers 7040, Institute of Labor Economics (IZA).
- James J. Heckman & Rodrigo Pinto & Peter A. Savelyev, 2012. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," Vanderbilt University Department of Economics Working Papers 12-00011, Vanderbilt University Department of Economics.
- James J. Heckman & Rodrigo Pinto & Peter A. Savelyev, 2012. "Understanding the Mechanisms through Which an Influential Early Childhood Program Boosted Adult Outcomes," NBER Working Papers 18581, National Bureau of Economic Research, Inc.
- Ofer Mintz & Imran S Currim & Jan-Benedict E M Steenkamp & Martijn Jong, 2021. "Managerial metric use in marketing decisions across 16 countries: A cultural perspective," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(8), pages 1474-1500, October.
- Shuichi Kawano, 2021. "Sparse principal component regression via singular value decomposition approach," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(3), pages 795-823, September.
- Nickolay Trendafilov & Kohei Adachi, 2015. "Sparse Versus Simple Structure Loadings," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 776-790, September.
- Simon Freyaldenhoven, 2020. "Identification Through Sparsity in Factor Models," Working Papers 20-25, Federal Reserve Bank of Philadelphia.
- Rosember Guerra-Urzola & Katrijn Van Deun & Juan C. Vera & Klaas Sijtsma, 2021. "A Guide for Sparse PCA: Model Comparison and Applications," Psychometrika, Springer;The Psychometric Society, vol. 86(4), pages 893-919, December.
- Kawano, Shuichi & Fujisawa, Hironori & Takada, Toyoyuki & Shiroishi, Toshihiko, 2018. "Sparse principal component regression for generalized linear models," Computational Statistics & Data Analysis, Elsevier, vol. 124(C), pages 180-196.
- Almudena Recio-Román & Manuel Recio-Menéndez & María Victoría Román-González, 2021. "Vaccine Hesitancy and Political Populism. An Invariant Cross-European Perspective," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
- Xinyi Liu & Gabriel Wallin & Yunxiao Chen & Irini Moustaki, 2023. "Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems," Psychometrika, Springer;The Psychometric Society, vol. 88(2), pages 527-553, June.
- Guerra Urzola, Rosember & Van Deun, Katrijn & Vera, J. C. & Sijtsma, K., 2021. "A guide for sparse PCA : Model comparison and applications," Other publications TiSEM 4d35b931-7f49-444b-b92f-a, Tilburg University, School of Economics and Management.
- Bengt Muthén & Tihomir Asparouhov, 2018. "Recent Methods for the Study of Measurement Invariance With Many Groups," Sociological Methods & Research, , vol. 47(4), pages 637-664, November.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:somere:v:47:y:2018:i:4:p:631-636. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.