Covariance-based Structural Equation Modeling (CB-SEM) Model Using SmartPLS4Teetut Tresirichod
1. First CB SEM Model using SmartPLS4
2. Data Screening and Imputation
3. Basic CFA Model with SmartPLS4
4. What Fit Indices to use for Model Fit?
5. Understand and Interpret Construct Reliability and Convergent Validity
6. Understand and Interpret Discriminant Validity
7. Simple Structural Model Analysis
8. Moderation Analysis using CBSEM Model in SmartPLS4
9. Mediation Analysis using CBSEM Model in SmartPLS4
Covariance-based Structural Equation Modeling (CB-SEM) Model Using SmartPLS4Teetut Tresirichod
1. First CB SEM Model using SmartPLS4
2. Data Screening and Imputation
3. Basic CFA Model with SmartPLS4
4. What Fit Indices to use for Model Fit?
5. Understand and Interpret Construct Reliability and Convergent Validity
6. Understand and Interpret Discriminant Validity
7. Simple Structural Model Analysis
8. Moderation Analysis using CBSEM Model in SmartPLS4
9. Mediation Analysis using CBSEM Model in SmartPLS4
1. The document discusses strategic reasons why multinational corporations pursue international business, including accessing new markets to drive growth, taking advantage of lower production costs abroad, and following the lead of competitors.
2. Countries offer financial incentives to attract foreign investment which benefits local economies through job creation. However, this also increases competition among countries.
3. Emerging markets like China and India present huge opportunities for sales and influence over consumers, but require understanding local conditions.
This document discusses strategic human resource management (SHRM). It begins by outlining key principles of SHRM including integrating HR policies with business planning, shifting responsibility for personnel management to senior managers, emphasizing employee commitment and initiative, and focusing on quality and flexibility. It then examines major theoretical approaches to SHRM, including universal, matching (closed), and matching (open) models. The document also provides context on the history and origins of SHRM as a concept emerging from management theories in the 1950s in response to economic challenges and broader social and technological changes. Finally, it reviews research on the relationship between SHRM practices and organizational performance, noting the challenges but also increasing confidence in a positive correlation.
1. The document discusses different approaches to strategy and their implications for human resource management (HRM), including classical, evolutionary, processual, and systemic approaches.
2. The classical approach views strategy as rational planning while the evolutionary perspective emphasizes reacting to external forces. The processual approach sees strategy as an emergent process and the systemic perspective stresses adapting strategy to cultural contexts.
3. Effective strategic human resource management (SHRM) requires a two-way relationship where HRM influences and is influenced by organizational strategy. The implications for linking HRM and strategy depend on the strategic approach taken.
The document provides an overview of statistical concepts including descriptive and inferential statistics, measures of central tendency and dispersion, hypothesis testing procedures, and examples of one-sample and two-sample hypothesis tests. Specifically, it discusses topics such as the mean, median, mode, range, variance, standard deviation, stating hypotheses, identifying test statistics, formulating decision rules, taking samples, and interpreting results. Examples are given to illustrate one-sample t-tests and two-sample z-tests for comparing population means with known and equal variances.
The document provides an overview of PSPP software and statistical analysis techniques, including:
- Descriptive statistics such as measures of central tendency (mean, median, mode), measures of dispersion (range, variance, standard deviation), and data displays (frequency tables, bar charts, pie charts, histograms)
- The difference between descriptive and inferential statistics, and an introduction to hypothesis testing including stating hypotheses, significance levels, test statistics, and decision rules.
- Examples of one-sample and two-sample hypothesis tests, comparing population means when variances are known or unknown, to determine if samples are representative of populations.
เรียนรู้ฟังก์ชันการใช้งานทั้งหมดของ LINE OA บัญชี LINE OA ที่พร้อมใช้งาน การใช้งาน LINE OA บนมือถือและคอมพิวเตอร์ การใช้ LINE OA เพื่อสร้างลูกค้าใหม่และการเพิ่มยอดขาย การใช้ LINE OA เพื่อทำ CRM ร้านค้าออนไลน์ และมินิเว็บไซต์ แบบมืออาชีพ การลงโฆษณาด้วย LINE Ads Platform (LAP)
The document discusses partial least squares structural equation modeling (PLS-SEM) as a statistical technique for second-generation research. It explains that PLS-SEM can handle complex models with latent variables and mediators better than first-generation techniques like regression. The document also compares PLS-SEM to other second-generation techniques like covariance-based SEM and discusses the advantages and disadvantages of each approach.