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SEM data analysis for academic research

Consulting in quantitative analysis, multilevel SEM, bibliometric analysis and literature reviews for postgraduate students, lecturers and researchers.

Research modelPLS-SEM
Service quality · Exogenous constructServicequalityTrust · Exogenous constructTrustSatisfaction · MediatorSatisfactionR²Loyalty · Outcome constructLoyaltyR²Service quality · Exogenous constructServicequalityTrust · Exogenous constructTrustSatisfaction · MediatorSatisfactionR²Loyalty · Outcome constructLoyaltyR²
Figure 1. Illustrative SEM modelEllipse: latent construct · Rectangle: indicatorβ and R² are symbols, not estimated results.Select a construct to explore
MediatorSatisfaction

A bridge between experience and loyalty.

Methods with clarity · Results with contextView services

The right tool.For the right research question.

  • SmartPLS
  • AMOS
  • SPSS
  • Stata
  • RStudio + AI
  • JASP
  • jamovi
  • Mplus
  • CiteSpace
  • VOSviewer

Services

Research analysis and consulting

Support from scale design through data analysis and interpretation of results.

15 Explore service

Core areas of support

  • CB-SEM

    AMOS / CB-SEM

    CFA, covariance-based structural equation modelling and multigroup analysis.

    Explore service
  • CITATION NETWORKS

    Bibliometric analysis

    Explore knowledge structures, thematic clusters and research trends with CiteSpace and VOSviewer.

  • PHD MENTOR

    Quantitative mentor for PhD researchers

    Long-term quantitative-method support from research design through testing and presentation of results.

Other specialist services

  1. Multiple regression, EFA, ANOVA and non-parametric tests.

    STATISTICS
  2. Econometrics, panel data and impact analysis.

    ECONOMETRICS
  3. Statistical analysis and data visualisation through reproducible workflows.

    OPEN SOURCE
  4. Common statistical analyses through accessible interfaces and free software.

    FREE SOFTWARE
  5. Structural equation modelling for data with hierarchical or multilevel structures.

    MULTILEVEL SEM
  6. Support for searching, screening, synthesising and presenting a structured literature review.

    LSR
  7. Scale development and content-validity review.

    Research support
  8. Consulting on research methods, data analysis and interpretation of results.

    Research support
  9. Training from foundations through hands-on practice with research questions and data.

    TRAINING
  10. Learn analysis in RStudio, use GPT/Claude to support code writing and explanation, then cross-check results with SmartPLS/AMOS.

    RSTUDIO + AI
  11. Review of reports, revision feedback and citation guidance.

    Research support
Not sure where to begin?Let’s discuss your research

Professional service

    This copy is pending review; the exact scope is agreed during consultation.

    Discuss this service

    How we work together

    Clarity at every step. Confidence in the result.

    A proposed research journey that starts by understanding the question correctly.

    1. 01

      Understand the study

      Discuss your research objective, proposed model and available data.

    2. 02

      Choose the method

      Clarify the scope and select an approach aligned with the question.

    3. 03

      Analyse the data

      Review the data, assess the measures and evaluate the model.

    4. 04

      Interpret together

      Discuss meaning, limitations and presentation of the results.

    Table 1. An example of structural-model reporting
    Relationshipβtp
    Quality → Satisfaction0.426.18< 0.001
    Trust → Satisfaction0.091.340.180
    Satisfaction → Loyalty0.588.24< 0.001
    Read estimates alongside uncertainty and the research question.Hypothetical numbers illustrate how to read a report; they are not research findings or client data.

    About

    About SmartPLS Lê Minh

    SmartPLS Lê Minh provides consulting in data analysis, structural equation modelling, bibliometric analysis and literature reviews, along with software training and quantitative mentoring for PhD researchers in management, economics and the social sciences.

    Every study begins with a different question. A clear discussion of the objective, model and data is the starting point for choosing an appropriate analytical direction.

    • Appropriate methods
    • Clear interpretation
    • Research-question focused

    Before we begin

    Questions you may be considering.

    A few common questions before discussing your study.

    Discuss your question
    What should I prepare before a consultation?

    You may prepare your research questions, proposed model, questionnaire and a description of the available data. Please do not enter real research data on this staging site.

    Should I use SmartPLS or AMOS?

    The choice depends on the objective, model structure and data characteristics. The specific research problem should be discussed before selecting a method.

    Can I begin before collecting data?

    Yes. Questionnaire design, scale development and research-method consultation can take place before data collection.

    How is AI used in the RStudio course?

    GPT/Claude is used as an assistant for writing, checking and explaining code. Results must still be methodologically assessed and cross-checked with SmartPLS/AMOS; the website does not automatically send research data to an AI service.

    What does the quantitative PhD mentoring package include?

    The mentoring package focuses on scheduled discussions about design, analysis strategy and interpretation. It is advisory: the researcher remains responsible for the data, methodological decisions and academic work.

    Does the form send my information?

    No. This is a staging build; the form neither sends nor stores information on a server.

    Contact

    Direct consultation

    During the preview stage, please contact us directly by phone or Zalo. The online form will only be enabled after privacy and security checks are complete.

    Tell us about your research

    This form is temporarily locked. Please do not enter data; nothing is sent or stored.