2004
DOI: 10.1007/bf02295841
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Generalized structured component analysis

Abstract: Path analysis with components, partial least squares, alternating least squares,

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Cited by 248 publications
(212 citation statements)
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References 27 publications
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“…At the same time, we also offered specific recommendations for improving the ability of PLS-PM to estimate and test theoretical models. Many of these recommendations extend to other approaches for path modeling with composite variables (Hwang & Takane, 2004;Hwang, 2008Hwang, , 2009Tenenhaus, 2013;Tenenhaus & Tenenhaus, 2011), which have limitations similar to those of PLS-PM in terms of their ability to validate causal structures. Therefore, it is our hope that PLS-PM specialists and other methodologists will take the initiative to further develop and examine the viability of our ideas in future theoretical and empirical work, which may help to ultimately resolve the growing impasse between proponents and critics of PLS-PM.…”
Section: Resultsmentioning
confidence: 99%
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“…At the same time, we also offered specific recommendations for improving the ability of PLS-PM to estimate and test theoretical models. Many of these recommendations extend to other approaches for path modeling with composite variables (Hwang & Takane, 2004;Hwang, 2008Hwang, , 2009Tenenhaus, 2013;Tenenhaus & Tenenhaus, 2011), which have limitations similar to those of PLS-PM in terms of their ability to validate causal structures. Therefore, it is our hope that PLS-PM specialists and other methodologists will take the initiative to further develop and examine the viability of our ideas in future theoretical and empirical work, which may help to ultimately resolve the growing impasse between proponents and critics of PLS-PM.…”
Section: Resultsmentioning
confidence: 99%
“…To illustrate, we contrast Henseler et al's representation of the composite factor model with a more accurate depiction of a composite-based measurement model in Figure 1, where: (a) the measurement-level pathways lead from the indicators to the composites, consistent with the manner in which composite variables are formed in PLS-PM models; (b) the indicators are specified as having no measurement error; and (c) the composites also have no error, meaning that they are exact weighted linear combinations of their indicators (Bollen, 2011;Bollen & Bauldry, 2011;Grace & Bollen, 2008;Kline, 2013a). This composite measurement model can be estimated using PLS-PM, other component-based modeling techniques (e.g., Hwang & Takane, 2004;Hwang, 2008Hwang, , 2009Tenenhaus, 2013;Tenenhaus & Tenenhaus, 2011), or even SEM provided that modified parameterizations are used (Bollen, 2011, Bollen & Bauldry, 2011Bollen & Davis, 2009;Dolan, 1996;Dolan, Bechger, & Molenaar, 1999;McDonald, 1996;Treiblmaier, Bentler, & Mair, 2011).…”
Section: Can Pls-pm Be Characterized As An Sem Method?mentioning
confidence: 99%
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“…Merujuk pada Hwang & Takane (2004), Generalised Structure Component Analysis (GSCA) digunakan untuk menilai model pengukuran konfirmatori. Seperti namanya, GSCA terletak pada tradisi analisis komponen.…”
Section: Metodologi Penelitianunclassified
“…Selain itu, GSCA menangani analisis jalur yang lebih beragam, dibandingkan dengan PLS. Misalnya, dengan mudah dapat memasukkan model jalur yang sama ke lebih dari satu kelompok dengan pemaksaan batasan kelompok secara opsional, yang tidak dapat diakomodasi oleh PLS (Hwang & Takane, 2004).…”
Section: Metodologi Penelitianunclassified