APLIKASI PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELLING UNTUK MENILAI FAKTOR PENCEMARAN AIR KALI SURABAYA

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonlinear Structural Equation Modeling: Is Partial Least Squares an Alternative?

Nonlinear structural equation modeling provides many advantages over analyses based on manifest variables only. Several approaches for the analysis of latent interaction effects have been developed within the last 15 years, including the partial least squares product indicator approach (PLS-PI), the constrained product indicator approach using the LISREL software (LISREL-PI), and the distributi...

متن کامل

Partial Least Squares: The Better Approach to Structural Equation Modeling?

With the ever-increasing acceptance of the need to empirically validate theories in the social science disciplines (e.g., Sheth, 1971), data and multivariate analysis techniques (e.g., Hair et al., 2010; Hair et al., 2011b; Mooi and Sarstedt, 2011) play a central role in today’s research. The evolution of structural equation modeling (SEM) methods is perhaps the most important and influential s...

متن کامل

Partial least squares methods: partial least squares correlation and partial least square regression.

Partial least square (PLS) methods (also sometimes called projection to latent structures) relate the information present in two data tables that collect measurements on the same set of observations. PLS methods proceed by deriving latent variables which are (optimal) linear combinations of the variables of a data table. When the goal is to find the shared information between two tables, the ap...

متن کامل

Partial Least Square Regression PLS-Regression

PLS regression is a recent technique that generalizes and combines features from principal component analysis and multiple regression. Its goal is to predict or analyze a set of dependent variables from a set of independent variables or predictors. This prediction is achieved by extracting from the predictors a set of orthogonal factors called latent variables which have the best predictive pow...

متن کامل

Designing a Commercialization Model for Research Achievements at a Military University Research Institute by Partial Least Squares Structural Equation Modeling

Background and Aim: Today, in universities and research institutes, the lack of attention to commercialization makes it impossible or difficult to enter the markets for technology and research products. therefore, this study aims to design a commercialization model for research achievements of a military research institute. Methods: This descriptive-analytic study was done in a cross-sectional ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal Purifikasi

سال: 2014

ISSN: 2598-3806,1411-3465

DOI: 10.12962/j25983806.v14.i2.19