2016
DOI: 10.15446/innovar.v26n62.59390
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Análisis del estudio de las relaciones causales en el marketing

Abstract: En la actualidad, la medición de la relación causa-efecto de una situación intangible como la satisfacción del cliente ha estado tomando relevancia. Para ello, se manejan dos técnicas estadísticas: (1) modelos de ecuaciones estructurales (structural equation model—SEM, por sus siglas en inglés—) con matriz de covarianzas y (2) la técnica de mínimos cuadrados parciales (partial least squares —PLS, por sus siglas en inglés—), que determina, como técnica multivariante, la relación entre variables observables y la… Show more

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Cited by 11 publications
(4 citation statements)
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“…Modeling via structural equations Partial Least Squares-Structural Equation Models (PLS-SEM) was used (Hair et al, 2017). Today the use of this methodology has increased (Hair et al, 2017;Salgado Beltran and Espejel Blanco, 2016). Among its benefits, it allows working with small samples, between 30 and 100 cases as a minimum range (Salgado Beltran and Espejel Blanco, 2016).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Modeling via structural equations Partial Least Squares-Structural Equation Models (PLS-SEM) was used (Hair et al, 2017). Today the use of this methodology has increased (Hair et al, 2017;Salgado Beltran and Espejel Blanco, 2016). Among its benefits, it allows working with small samples, between 30 and 100 cases as a minimum range (Salgado Beltran and Espejel Blanco, 2016).…”
Section: Resultsmentioning
confidence: 99%
“…Today the use of this methodology has increased (Hair et al, 2017;Salgado Beltran and Espejel Blanco, 2016). Among its benefits, it allows working with small samples, between 30 and 100 cases as a minimum range (Salgado Beltran and Espejel Blanco, 2016). Initially, the discriminant validity and the convergent validity were verified.…”
Section: Resultsmentioning
confidence: 99%
“…El diseño corresponde a un estudio descriptivo correlacional con técnica transversal de recolección de información mediante encuesta (Hernández, Fernández y Baptista 2014), seguida por un diseño explicativo para determinar relaciones causales entre variables latentes, comprobando una serie de asociaciones y posteriormente comprobar las hipótesis tentativas validadas a través de la técnica estadística (structural equation model-SEM) o modelos de ecuaciones estructurales (Salgado y Espejel 2016). A continuación, se precisan los elementos metodológicos.…”
Section: Metodologíaunclassified
“…4.1.2 Reliability of indicators. To assess reflective models, it's essential to address the reliability and validity of latent variables through content validation and apparent validity (expert depuration) (Salgado and Espejel, 2016). This entails analyzing various aspects of reliability and validity.…”
Section: Assessment Of the Measurement Modelmentioning
confidence: 99%