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Download A Primer on Partial Least Squares Structural Equation by Josephb F. Hair, G. Tomas M. Hult, Christian M. Ringle, PDF

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By Josephb F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt

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Extra info for A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)

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263-270). Amsterdam: North-Holland. Lohmoller, J. B. (1989). Latent variable path modeling with partial least squares. Heidelberg: Physica. Mateos-Aparicio, G. (2011). Partial Least Squares (PLS) methods: Origins, evolution, and application to social sciences. Communications in Statistics: Theory and Methods, 40(13), 2305-2317. Rigdon, E. E. (2012). Rethinking partial least squares path modeling: In praise of simple methods. Long Range Planning, 45(516), 341-358. CHAPTER 2 Specifying the Path Model and Collecting Data LEARNING OUTCOMES 1.

10 times the largest number of formative indicators used to measure a single construct, or 2. 10 times the largest number of structural paths directed at a particular construct in the structural model. This rule of thumb is equivalent to saying that the minimum sample size should be 10 times the maximum number of arrowheads pointing at a latent variable anywhere in the PLS path model. While the 10 times rule offers a rough guideline for minimum sample size requirements, PLS-SEM-like any statistical technique-requires researchers to consider the sample size against the background of the model and data characteristics (Hair, Ringle, & Sarstedt, 2011).

It is the fundamental building block of multivariate analysis. The variate is a linear combination of several variables that are chosen based on the research problem at hand. Measurement is the process of assigning numbers to a variable based on a set of rules. Multivariate measurement involves using several variables to indirectly measure a concept to improve measurement accuracy. The anticipated improved accuracy is based on the assumption that using several variables (indi­ cators) to measure a single concept is more likely to represent all the different aspects of the concept and thereby result in a more valid mea­ surement of the concept.

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