Outcome 1
Decide whether PLS-SEM fits the research objective and model characteristics.
Analysis & Software · Premium downloadable PDF
Specify, estimate and report PLS-SEM models in SmartPLS with separate measurement, structural and predictive assessments.
Who this is for
Postgraduate and doctoral researchers using SmartPLS for explanatory, prediction-oriented, mediation, moderation or formative model analysis.
The PDF course is written in English and designed for independent, self-paced study. It explains each decision, provides fictional illustrations, and includes workbook pages that you can print or complete separately against your own research.
The purchase does not include private document review, editing, data analysis, or live sessions. Those are available through the live group fee or a separately quoted one-to-one or institutional format.
Learning outcomes
Achievement depends on completing the lessons, using the worksheets, practising the decisions, and applying the process to your own work.
Decide whether PLS-SEM fits the research objective and model characteristics.
Specify reflective and formative measurement models correctly.
Assess structural paths, collinearity, effect sizes, indirect effects and prediction.
Report SmartPLS procedures and results without threshold-driven overclaiming.
PDF course syllabus
21 pages of original instruction, guided decision tools, printable worksheets, and completion checks.
Select PLS-SEM for a defensible reason and translate theory into the correct model structure.
Evaluate measurement quality using criteria appropriate to how constructs and indicators are specified.
Assess relationships, explained variance and effect mechanisms after measurement quality is addressed.
Evaluate predictive performance and report the complete workflow transparently.
Apply this learning
Start with the free guide. If your own document, design, data, or journal requirements need individual review, use the matching support page to define the scope.
A practical checklist for preparing datasets, codebooks, transcripts, missing-data decisions and analysis files.
Read Data analysis readiness Project supportQuantitative Data AnalysisAnalysis planning, data screening, SPSS, AMOS, SmartPLS, interpretation, and reporting support.
Review Quantitative Data AnalysisIncluded in the PDF purchase
Course and training options
21-page focused PDF course + printable workbook with a personal-use licence and secure post-payment download.
Request PDF purchase8 live sessions delivered online across 4 weeks, with shared activities and included resources.
Request live enrolmentPrivate sessions adapted to your stage, discipline, objectives, and preferred timetable.
Request a quoteA private workshop or licensed learning package for a university, department, research team, or organisation.
Request group trainingEvery button opens the request page. No course is charged, downloaded, or reserved until the WhatsApp request is manually confirmed in writing and the resulting payment is verified.
Course questions
The website starts a WhatsApp request, not an automatic checkout. The selected format, exact amount, availability, terms, and official payment route are manually confirmed in writing before payment.
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You may save and print a copy for your own learning. Redistribution, resale, public upload, classroom distribution, or inclusion in another commercial product is not permitted under the personal licence.
No. Learners require lawful software access. The course covers the decision and reporting workflow.
No. Sample adequacy depends on the model, effect sizes, power, measurement quality and research objective; small samples can still produce unstable estimates.
Continue this pathway
Start with the research problem
Tell us your degree level, research stage, exact requirement, and deadline.