SEM data analysis for academic research
Consulting in quantitative analysis, multilevel SEM, bibliometric analysis and literature reviews for postgraduate students, lecturers and researchers.
A bridge between experience and loyalty.
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
- PLS-SEM
SmartPLS analysis
Clarify relationships in the model, test hypotheses and examine mediation.
Explore service - 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
Multiple regression, EFA, ANOVA and non-parametric tests.
STATISTICSEconometrics, panel data and impact analysis.
ECONOMETRICSStatistical analysis and data visualisation through reproducible workflows.
OPEN SOURCECommon statistical analyses through accessible interfaces and free software.
FREE SOFTWAREStructural equation modelling for data with hierarchical or multilevel structures.
MULTILEVEL SEMSupport for searching, screening, synthesising and presenting a structured literature review.
LSRScale development and content-validity review.
Research supportConsulting on research methods, data analysis and interpretation of results.
Research supportTraining from foundations through hands-on practice with research questions and data.
TRAININGLearn analysis in RStudio, use GPT/Claude to support code writing and explanation, then cross-check results with SmartPLS/AMOS.
RSTUDIO + AIReview of reports, revision feedback and citation guidance.
Research support
How we work together
Clarity at every step. Confidence in the result.
A proposed research journey that starts by understanding the question correctly.
- 01
Understand the study
Discuss your research objective, proposed model and available data.
- 02
Choose the method
Clarify the scope and select an approach aligned with the question.
- 03
Analyse the data
Review the data, assess the measures and evaluate the model.
- 04
Interpret together
Discuss meaning, limitations and presentation of the results.
| Relationship | β | t | p |
|---|---|---|---|
| Quality → Satisfaction | 0.42 | 6.18 | < 0.001 |
| Trust → Satisfaction | 0.09 | 1.34 | 0.180 |
| Satisfaction → Loyalty | 0.58 | 8.24 | < 0.001 |
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 questionWhat 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.
