Search Results - subject:"covariance structure analysis"

Covariance structure analysis of innovation and ICT use among Japanese innovative SMEs

Idota, Hiroki; Bunno, Teruyuki; Tsuji, Masatsugu - 2013

structure analysis, in particular focusing on the role ICT. Seven hypotheses are demonstrated by two models. The results … factors have not been sufficiently clarified yet. This paper attempts to clarify the innovation process using covariance …

Persistent link: https://www.econbiz.de/10010210515

Does labor diversity cause agglomeration in Japan?: an NEG approach with a covariance structure analysis

Ihara, Ryusuke; Yamamoto, Shizu - 2012

part, we confirm the theoretical results by covariance structure analysis with Japanese prefectural datas. We construct …

Persistent link: https://www.econbiz.de/10011340773

Does labor diversity cause agglomeration in Japan? : an NEG approach with a covariance structure analysis

Ihara, Ryusuke; Yamamoto, Shizu - 2012

part, we confirm the theoretical results by covariance structure analysis with Japanese prefectural datas. We construct …

Persistent link: https://www.econbiz.de/10011515568

On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies

Ringle, Christian M.; Götz, Oliver; Wetzels, Martin; … - Volkswirtschaftliche Fakultät, … - 2009

The broader goal of this paper is to provide social researchers with some analytical guidelines when investigating structural equation models (SEM) with predominantly a formative specification. This research is the first to investigate the robustness and precision of parameter estimates of a...

Persistent link: https://www.econbiz.de/10004992028

Normal versus Noncentral Chi-square Asymptotics of Misspecified Models

Chun, So Yeon; Alexander, Shapiro - Volkswirtschaftliche Fakultät, … - 2009

The noncentral chi-square approximation of the distribution of the likelihood ratio (LR) test statistic is a critical part of the methodology in structural equations modeling (SEM). Recently, it was argued by some authors that in certain situations normal distributions may give a better...

Persistent link: https://www.econbiz.de/10005015592

The Nonsingularity of Γ in Covariance Structure Analysis of Nonnormal Data

Jennrich, Robert; Satorra, Albert - In: Psychometrika 79 (2014) 1, pp. 51-59

Covariance structure analysis of nonnormal data is important because in practice all data are nonnormal. When applying … covariance structure analysis to nonnormal data, it is generally assumed that the asymptotic covariance matrix Γ for the …

Persistent link: https://www.econbiz.de/10010998753

Specifiying formatively-measured constructs in endogenous positions in structural equation models : caveats and guidelines for researchers

Temme, Dirk; Dimantopoulos, Adamantios; Pfegfeidel, Vanessa - In: International journal of research in marketing : IJRM ; … 31 (2014) 3, pp. 309-316

Persistent link: https://www.econbiz.de/10010427990

Formative measurement models in covariance structure analysis: Specification and identification

Hildebrandt, Lutz; Temme, Dirk - 2006

Many researchers seem to be unsure about how to specify formative measurement models in software programs like LISREL or AMOS and to establish identification of the corresponding structural equation model. In order to make identification easier, a new, mainly graphically-oriented approach is...

Persistent link: https://www.econbiz.de/10010263664

Copula structure analysis based on robust and extreme dependence measures

Klüppelberg, Claudia; Kuhn, Gabriel - 2006

In this paper we extend the standard approach of correlation structure analysis in order to reduce the dimension of highdimensional statistical data. The classical assumption of a linear model for the distribution of a random vector is replaced by the weaker assumption of a model for the copula....

Persistent link: https://www.econbiz.de/10010266229

Formative Measurement Models in Covariance Structure Analysis: Specification and Identification

Temme, Dirk; Hildebrandt, Lutz - Sonderforschungsbereich 649: Ökonomisches Risiko, … - 2006

B E R L I N Formative measurement models in covariance structure analysis: Specification and …. Keywords: Formative indicators; Latent variables; Covariance structure analysis; Identification JEL-Codes: C31, C51, C52, M … – covariance structure analysis (CSA), researchers now more and more turn to the partial least squares approach (PLS; Wold, 1966 …

Persistent link: https://www.econbiz.de/10005652735