Power Of Test Path Analysis and Partial Least Square Analysis
Abstract
The purpose of this study is: comparing path analysis Analysis with Partial Least Square (PLS) on the power of the test and the valueR2.Path method is able to provide the value of R2 higher than Analysis of Partial Least Square (PLS) but the value of the test power analysisi path is smaller than using Analysis of Partial Least Square (PLS). Usage analysis methods Path Analysis and Partial Least Square (PLS) produces behavioral assessment of civil servants in the government of Kediri is nearly equal results and discussion. Based on the analysis to prove that the behavior of civil servants in the Government of Kediri not meet eligibility based on the grade levels and echelons of the civil service
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Akter, A., D’ambra, J., Ray, P., 2011, An Evaluation of PLS based complex models: the roles of power analysis, predictive relevance and Gof Index. Detroit, USA.
Leka, S., Griffiths, A., Cox, T., 1999, Work Organisation & Stress. University of Nottingham. United Kingdom.
Li, C. C., 1975, Path Analysis – a primer, The Boxwood Press, Pacific Grove, USA.
Monecke, A., Leisch, F., 2012. semPLS: Structural Equation Modeling Using Partial Least Squares, Journal of Statistical Software, Vol. 48, Issue 3.
Park, H., M., 2004, Understanding The Statistical Power of a test, Software Consultant, University Information Technology Service (UITS) Center for Statistical Power and Mathematical Computing. Indiana University.
Solimun, 2010, Analisis Multivariat Pemodelan Struktural Metode Partial Least Square – PLS, CV. Citra Malang, Malang.
Steel, R. G. D., Torrie, J. H., 1995, Prinsip dan Prosedur Statistika Suatu Pendekatan Biometrik, Second Edition, Translator : Bambang Sumantri, PT Gramedia Pustaka Utama, Jakarta.
Zaiontz C., 2013, Real Statistics Using Excel http://www.real-statistics.com/multiple-regression/statistical-power-sample-size-multiple-regression/
DOI: https://doi.org/10.18860/ca.v4i3.3593
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