2006
DOI: 10.1080/14783360500451465
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Robustness testing of PLS, LISREL, EQS and ANN-based SEM for measuring customer satisfaction

Abstract: terms-and-conditions-of-access.pdf This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, re-distribution, re-selling, loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden.The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independe… Show more

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Cited by 158 publications
(75 citation statements)
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“…In general, PLS is better suited for explaining complex relationships than it is for simple relationships because it avoids two problems: inadmissible solutions and factor indeterminacy 58 . According to Hsu et al 59 , PLS serves a better prediction when sample size is not large and the model is complex. On the strength of these considerations we chose the PLS approach.…”
Section: Discussionmentioning
confidence: 99%
“…In general, PLS is better suited for explaining complex relationships than it is for simple relationships because it avoids two problems: inadmissible solutions and factor indeterminacy 58 . According to Hsu et al 59 , PLS serves a better prediction when sample size is not large and the model is complex. On the strength of these considerations we chose the PLS approach.…”
Section: Discussionmentioning
confidence: 99%
“…"Take in Table 1" SmartPLS (Ringle et al, 2005) was used to simultaneously estimate all relationships put forward in the conceptual model, and further adapt the model to maximize the amount of explained variance in the dependent variable(s) (Streukens et al, 2005). Although PLS estimates for factor loadings are often overestimated while path coefficients may be underestimated (Hsu et al, 2006), these negative effects have been balanced by using a sufficiently large sample size and by the number of indicators per construct (Chin and Newsted, 1999). Given the exploratory nature of the present research and our emphasis on theory development, PLS was particularly useful given its prediction-oriented nature (Barclay et al, 1995;Fornell and Cha, 1994).…”
Section: Discussionmentioning
confidence: 99%
“…En el marco de esta elección, la falta de un campo teórico sólido, la carencia de normalidad en los datos analizados y el involucramiento de constructos informativos, conllevaron a adoptar un método exploratorio predictivo orientado a la construcción de la teoría como lo es la técnica de los mínimos cuadrados parciales, conocida por sus siglas en inglés por PLS: Partial Leaste Squares (Chin, 1998;Hsu et al, 2006). La modelación PLS se sustenta en modelos reflexivos y formativos que se construyen por medio de las variables manifiestas o ítems de la evaluación realizada a cada concepto de la satisfacción turística (véase figura 2 y cuadro 1).…”
Section: Datos Y Metodología De Integración De La Informaciónunclassified