دانلود رایگان مقاله لاتین مدل سازی مسیر PLS برای حسابداری از سایت الزویر
عنوان فارسی مقاله:
حسابداری برای سنگینی نمونه برداری در مدل سازی مسیر PLS: شبیه سازی و نمونه تجربی
عنوان انگلیسی مقاله:
Accounting for sampling weights in PLS path modeling: Simulations and empirical examples
سال انتشار : 2016
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بخشی از مقاله انگلیسی:
2. Sampling and post-stratification weights
Having a representative sample of the population is of paramount importance when conducting an empirical survey study, if correct inference regarding the population is the objective. Despite their best efforts, researchers may accidentally or intentionally oversample some observational units and undersample others. In other words, the way a certain characteristic of the population (such as age, education, and gender) is distributed in the sample may differ from the way it is distributed in the population (Gelman, 2007). For example, the sample may consist of 60% women, although they comprise only 40% of the population. This introduces bias in the estimates from the sample, because the statistical procedures will assign more weight to the observational units that are oversampled. Assuming that there are differences between women and men in the sample, these differences affect the parameter estimations and bias the results if average population quantities are estimated (e.g., Asparouhov, 2005; Pfeffermann, 1993).Using sampling or post-stratification weights is one way to correct these biases (e.g., Gelman, 2007). Sampling weights can be generated before data collection based on the sampling design. The sampling design may feature intentional oversampling or undersampling of certain observational units to reduce the survey cost or the robustness of the data. For example, researchers may oversample certain observational units with a low occurrence in the population to obtain a more stable estimate for them.
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کلمات کلیدی:
SmartPLS 3 - Weighted PLS Algorithm (WPLS) www.smartpls.com/documentation/weighted-pls-algorithm Applications of PLS-SEM usually focus on survey responses in management, social ... Accounting for Sampling Weights in PLS Path Modeling: Simulations and ... 1. Accounting for sampling weights in PLS path modeling - 首页 en.ustc.findplus.cn/n_index_findplus_en.php?h=articles... Translate this page Title: Accounting for sampling weights in PLS path modeling: Simulations and empirical examples. Authors: Becker, J.-M.1. Ismail, I.R.2,3. Affiliation: 1University ... [PDF]PLS Path Modeling with R - Gaston Sanchez gastonsanchez.com/PLS_Path_Modeling_with_R.pdf by G Sanchez - Cited by 147 - Related articles skills can. Whether it is PLS Path Modeling or any other type of modeling, ... 2.2 Applying PLS-PM with the R package plspm . ... 3.3.3 The Weight Relations . SmartPLS - Get to know the weighted PLS-SEM algorithm:... | Facebook https://www.facebook.com/SmartPLS/photos/a...94209.../1110934012301530/?type... Becker, J.-M. and Ismail, I. R. (in press), "Accounting for Sampling Weights in PLS Path Modeling: Simulations and Empirical Examples", European Management ... [PDF]Structural Equation Modeling Using Partial Least Squares - Journal of ... https://www.jstatsoft.org/article/view/v048i03/v48i03.pdf by A Monecke - Cited by 150 - Related articles May 21, 2012 - surement scales, sample sizes and residual distributions. ... factor scores and outer weights, sempls computes loadings, path coefficients and total effects, ..... for the measurement model, D accounts for the directionality. PROC PLS AND SURVEY WEIGHTING - SAS Support Communities https://communities.sas.com/t5/SAS.../PROC-PLS...SURVEY-WEIGHTING/.../13875... Apr 30, 2014 - I am using PROC PLS to derive RRR patterns in dietary data. ... The survey has a weight variable which can be applied to make it more ... of the national population, instead of each observation accounts for 1/n of the national ... Publications - Marketing Area www.marketing.uni-koeln.de/en/research/publications/?languageselector2... Accounting for sampling weights in PLS path modeling: Simulations and empirical examples. European Management Journal, 34(6), 606-617. Click here for the ...
