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學術研究知識管理
學術研究知識管理
何謂自變數、應變數、干擾變數、中介變數、控制變數
模型寶庫-五大變數的介紹
PLS如何運作？
PLS如何運作？
#評估區別效度的三大方法
原文線上課程 Observed and Unobserved Heterogeneity
PLS-SEM 反映性模式介紹
#使用 SmartPLS進行PLS-SEM
F square, NFI
#結構方程模式取向的信效度分析Reliability and Validity
#使用PLS-SEM檢定中介作用
## Understanding R Square, F Square, and Q Square using SMART-PLS [LINK]
Endogenous Variable
Endogenous vs. Exogenous Variables: Definition & Examples
PLS (PARTIAL LEAST SQUARES) 很簡單！ SMARTPLS 易上手
SmartPLS3实战教学02-测量模型 vs 结构模型分析
臺師大科技應用與人力資源發展學系 碩士論文 中學教師實施機器人教學的影響因素之研究
PLS重要文獻
PLS重要文獻
Did you know, that articles and other literature on PLS-SEM using SmartPLS are often among the top-cited ones? For inspiration for your own publication, have a look at the following must-read papers:
Famous handbook article: Sarstedt, M., Ringle, C. M., & Hair, J. F. 2021. Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research. Heidelberg: Springer.
PLS-SEM and CB-SEM: Sarstedt, M., Hair, J. F, Ringle, C. M., Thiele, K. O., & Gudergan, S. P. 2016. Estimation Issues with PLS and CBSEM: Where the Bias Lies! Journal of Business Research, 69(10): 3998-4010. In addition, you may also want to take a look at the article by Rigdon et al. (2020).
Getting started with PLS-SEM: Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. 2019. When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2-24.
How to use PLSpredict?! Shmueli, G./ Sarstedt, M./ Hair, J.F./ Cheah, J.-H./ Ting, H./ Vaithilingam, S./ Ringle, C.M.: Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict, European Journal of Marketing, Volume 53 (2019), Issue 11, pp. 2322-2347.
Importance-Performance Map Analysis (IPMA): Ringle, C. M. & Sarstedt, M. 2016. Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis. Industrial Management & Data Systems, 116(9): 1865-1886.
Higher-order constructs in PLS-SEM: Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to Specify, Estimate, and Validate Higher-order Constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197-211.
Mediation and no need for PROCESS: Sarstedt, M./ Hair, J.F./ Nitzl, C./ Ringle, C.M./ Howard, M.C.: Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, Volume 62 (2020), Issue 3, pp. 288-299.
Moderation: Becker, J.-M./ Ringle, C.M./ Sarstedt, M.: Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation x Data Treatment, Journal of Applied Structural Equation Modeling, Volume 2 (2018), Issue 2, pp. 1-21.
PLS-SEM algorithm performance: Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. 2017. Mirror, Mirror on the Wall: A Comparative Evaluation of Composite-based Structural Equation Modeling Methods. Journal of the Academy of Marketing Science, 45(5): 616-632.
Use FIMIX-PLS in SmartPLS: Matthews, L., Sarstedt, M., Hair, J. F., & Ringle, C. M. 2016. Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part II – A Case Study. European Business Review, 28(2): 208-224.
Hair JF, Hult GTM, Ringle CM, Sarstedt M (2014) A primer on partial least squares structural equation modeling (PLS-SEM). Sage, Thousand Oaks
Hair, J., Hult, T., Ringle, C., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications, Inc.
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