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Journal ArticleDOI

On the evaluation of structural equation models

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TLDR
In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Abstract
Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and theoretical elements. Inevitably the process entails some attempt at a reconcilation between so-called objective and subjective norms.

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Journal ArticleDOI

Cultural Distance and Psychic Distance: Two Peas in a Pod?:

TL;DR: In this article, the authors proposed a new model to assess cultural distance and psychic distance separately, based on survey data of more than 300 managers, and showed that both concepts are conceptually different and that psychic distance is determined by cultural distance.
Journal ArticleDOI

Gender Dimensions of Brand Personality

TL;DR: In this paper, a two-dimensional scale measuring masculine and feminine brand personality was proposed to measure brand personality traits, which is discriminant with regard to existing brand dimensions and scales measuring masculinity and femininity as human personality traits.
Journal ArticleDOI

Using clickers in class. The role of interactivity, active collaborative learning and engagement in learning performance

TL;DR: The results reveal that the high level of interactivity with peers and with the teacher that is promoted by the use of clickers positively influences active collaborative learning and engagement, which, in turn, improves student learning performance.
Journal ArticleDOI

A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior

TL;DR: An extended model of Theory of Planned Behavior is proposed by incorporating constructs drawn from the model of Expectation Disconfirmation Theory (EDT) and to examine the antecedents of users' intention to continue using online shopping (continuance intention).
Book ChapterDOI

An Introduction to a Permutation Based Procedure for Multi-Group PLS Analysis: Results of Tests of Differences on Simulated Data and a Cross Cultural Analysis of the Sourcing of Information System Services Between Germany and the USA

TL;DR: This paper provides an introduction to an alternative distribution free approach based on an approximate randomization test – where a subset of all possible data permutations between sample groups is made.
References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Journal ArticleDOI

A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
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