Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Grice, James W.
2001.
A comparison of factor scores under conditions of factor obliquity..
Psychological Methods,
Vol. 6,
Issue. 1,
p.
67.
Yuan, Ke-Hai
Marshall, Linda L.
and
Bentler, Peter M.
2002.
A unified approach to exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers.
Psychometrika,
Vol. 67,
Issue. 1,
p.
95.
Krijnen, Wim P.
2002.
On the construction of all factors of the model for factor analysis.
Psychometrika,
Vol. 67,
Issue. 1,
p.
161.
Beauducel, André
2005.
How to Describe the Difference between Factors and Corresponding Factor-Score Estimates.
Methodology,
Vol. 1,
Issue. 4,
p.
143.
Krijnen, Wim P.
2006.
Necessary Conditions for Mean Square Convergence of the Best Linear Factor Predictor.
Psychometrika,
Vol. 71,
Issue. 3,
p.
593.
Krijnen, Wim P.
2006.
Implications of Indeterminate Factor-Error Covariances for Factor Construction, Prediction, and Determinacy.
Psychometrika,
Vol. 71,
Issue. 3,
p.
503.
Grayson, Dave
2006.
Might “unique” factors be “common”? On the possibility of indeterminate common–unique covariances.
Psychometrika,
Vol. 71,
Issue. 3,
p.
521.
Henseler, Jörg
Ringle, Christian M.
and
Sinkovics, Rudolf R.
2009.
New Challenges to International Marketing.
Vol. 20,
Issue. ,
p.
277.
Reinartz, Werner J.
Haenlein, Michael
and
Henseler, Jörg
2009.
An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM.
SSRN Electronic Journal,
Reinartz, Werner
Haenlein, Michael
and
Henseler, Jörg
2009.
An empirical comparison of the efficacy of covariance-based and variance-based SEM.
International Journal of Research in Marketing,
Vol. 26,
Issue. 4,
p.
332.
Henseler, Jörg
2010.
On the convergence of the partial least squares path modeling algorithm.
Computational Statistics,
Vol. 25,
Issue. 1,
p.
107.
Bianconcini, S.
and
Cagnone, S.
2012.
Multivariate Latent Growth Models for Mixed Data with Covariate Effects.
Communications in Statistics - Theory and Methods,
Vol. 41,
Issue. 16-17,
p.
3079.
Rigdon, Edward E.
2012.
Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods.
Long Range Planning,
Vol. 45,
Issue. 5-6,
p.
341.
Inderapermana, Yusa
and
Suhardi
2013.
Effect of information quality on decision performance at regency development priorities.
p.
1.
Henseler, Jörg
and
Sarstedt, Marko
2013.
Goodness-of-fit indices for partial least squares path modeling.
Computational Statistics,
Vol. 28,
Issue. 2,
p.
565.
Henseler, Jörg
Dijkstra, Theo K.
Sarstedt, Marko
Ringle, Christian M.
Diamantopoulos, Adamantios
Straub, Detmar W.
Ketchen, David J.
Hair, Joseph F.
Hult, G. Tomas M.
and
Calantone, Roger J.
2014.
Common Beliefs and Reality About PLS.
Organizational Research Methods,
Vol. 17,
Issue. 2,
p.
182.
Dijkstra, Theo K.
and
Henseler, Jörg
2015.
Consistent and asymptotically normal PLS estimators for linear structural equations.
Computational Statistics & Data Analysis,
Vol. 81,
Issue. ,
p.
10.
Henseler, Jörg
Hubona, Geoffrey
and
Ray, Pauline Ash
2016.
Using PLS path modeling in new technology research: updated guidelines.
Industrial Management & Data Systems,
Vol. 116,
Issue. 1,
p.
2.
Henseler, Jörg
2017.
Advanced Methods for Modeling Markets.
p.
361.
Eum Seong Won
and
Byung-Hak Leem
2017.
A Study on the Influence of Social Capital on the Firm’s Performance - Focusing on the Mediated moderation effect of Knowledge Absorption Capacity -.
Management & Information Systems Review,
Vol. 36,
Issue. 5,
p.
175.