You will get a Structural Equation Modelling (SEM) for your survey data

Tomoe G.
Tomoe G.

Let a pro handle the details

Buy Other Data Analysis & Reports services from Tomoe, priced and ready to go.

You will get a Structural Equation Modelling (SEM) for your survey data

Tomoe G.
Tomoe G.

Select service tier

SEM for pre-defined model

Assessment of an already well-defined and somewhat simple conceptual model

  • Delivery Time 3 days
  • Number of Revisions 1

3 days delivery — Feb 26, 2024
Revisions may occur after this date.
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Fund the project upfront. Tomoe gets paid once you are satisfied with the work.

Let a pro handle the details

Buy Other Data Analysis & Reports services from Tomoe, priced and ready to go.

Project details

Structural Equation Modelling (SEM) enables you insights from a survey data to gauge people’s perceptions and preferences, consumer behaviour or maybe health-related behaviours. It is based on modelling complex and causal models from it.

The full service can comprise:

* Assessment of the measurement model
* Exploratory and/or Confirmatory factor analysis (EFA/CFA)
* Dimensionality analysis (First-order and second-order analysis, formative x reflective)
* Validity and Reliability of tool/questionnaire (Cronbach’s Alpha, CR, AVE, Discriminant validity, HTMT ratio, etc.)
* Mediation and Moderation Analysis
* Multi-group analysis

For complex models, blind assessment of the data does not enable the best results. Instead, an interdisciplinary discussion will integrate the tacit and theoretical knowledge of the context/ phenomenon, and the target population, in the modelling process. For an outstanding result, with contextual interpretations and actionable recommendations to the practice, the advanced tier allows intermediate stages of discussion.

Choose the alternative that best suits your needs, or send me a message for custom projects! I would love to assist you!
Data Tool
What's included
Service Tiers
Delivery Time
3 days
5 days
20 days
Number of Revisions
Source Code
Optional add-ons You can add these on the next page.
Additional Revision
Simulation for ideal sample size/power analysis (+ 2 Days)
Additional models to test (+ 3 Days)
Source code

Frequently asked questions

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Data Scientists N.
Nov 22, 2023
Statistical modeling of health metrics to predict health outcomes Excellent freelancer who went the extra mile to do an amazing great work!
Tomoe G.

About Tomoe

Tomoe G.
Data Science | Data Analysis | Python|R
5.0  (1 review)
Porto Alegre, Brazil - 9:29 am local time
Experienced Scientific Consultant with an interdisciplinary background (graduated in industrial pharmacy and doctorate in Industrial Engineering), with 10y+ experience dealing with a diversified data related projects in both academy and industry.

Some of my Data Science skills comprise:

🌟 Data Analysis in Python, R, SPSS, Minitab, Amos, SmartPLS, etc.
🌟 Matched groups comparison analysis (ex. propensity scores) for quasi-experiments, when perfect experiments are not viable;
🌟 Time-series analysis (Gradient boosting regression, multiseasonal time series using TBATS, Prohpet, etc.);
🌟 Development of machine-learning models for classification and prediction (time series, multi-label data)
🌟 Data mining (depict hidden structures from data with graph/network analysis, factor analysis, cluster analysis, etc.);
🌟 Cluster analysis (market/customer/user segmentation, for example, including time-series clustering);
🌟 Design of experiments (and data analysis of experimental data);
🌟 Alongside traditional methods like regression and ANOVA, parametric and non-parametric tests;
🌟 Structural equation modelling - SEM (Covariance-based - CB-SEM, or partial least squared-SEM - PSL-SEM, longitudinal SEM, etc.);
🌟 Data scrapping (web, PDF scrapping or acquisition of data using API);
🌟 Modelling and finding patterns to monitor for anomalies (malfunctions in machinery, equipment wears, track frauds, non-compliance events, or even changes in the market or users' behaviour and/or mindset).


With my interdisciplinary background in both the industrial and scientific fields, I have trained myself beyond my formal education by experiencing several problems and projects in my professional trajectory. With this wide and diversified experience, I have the expertise in quickly understanding the problems, by an initial broad view of the problem, before scoping into specificities of the questions to be answered by specific analyses applied to specific conjoint of variables/data.


Some of Data Science applied projects I have working experience are:
🌟 Development of machine-learning models for multi-label data
🌟 Graph/network analysis to generate a patent map for technology assessment;
🌟 Analysis of association among diseases and molecular targets, based on bibliographical (academic publications, molecular databases, clinical study) data.
🌟 Analysis of perception-based survey data analysis (to assess customer satisfaction, workplace, or labour-related surveys, the effectiveness of health, sustainability, or even brand awareness campaigns focused on attitude, intention and/or behaviour, for example).
🌟 SEM analysis to assess and model interrelated data (the effectiveness and safety of pharmacological, medical or other therapeutic interventions).
🌟 SEM analysis monitor campaigns’ effectiveness (health, promotional, sustainability, etc.) awareness campaigns.
🌟 Mediation and moderations (SEM) studies enable further assessment of complex causal relationships, like the interplay of intermediate outcomes, and phenotypical variations in the population, for example.
🌟 Demand forecast for pharmaceutical market, using time series analysis.
🌟 Market research and financial plan for startup;
🌟 Mixed method studies to diagnose local technological transference culture;
🌟 A Web and PDF scrapping with data wrangling and text mining service to extract and convert complex textual and unstructured data into workable data.
🌟 Interactive web app development using R Shiny to showcase the analysis results;
🌟 Interactive web app (R shiny) development for student exercises.
🌟 Gathering data from several databases like protein, clinical trial, patent, academic publication, public service databases for a variety of data analysis/applications.
🌟 The projects were devoted to a variety of industrial fields, from biotech to engineering, including startup companies. And applied to areas like innovation, technology management, marketing, Human Resource Management, supply chain management, etc.


If the above sounds like something you are looking for, please send me a message, or invite me to your project. I would love to hear from you!

Steps for completing your project

After purchasing the project, send requirements so Tomoe can start the project.

Delivery time starts when Tomoe receives requirements from you.

Tomoe works on your project following the steps below.

Revisions may occur after the delivery date.

Initial assessment (Standard and Advanced versions)

Assessment and discussion of the objectives of the study, conceptual model and hypotheses. Assessment of the statistical assumptions, Descriptive statistics, Missing data analysis, etc. And refinement of the analytical strategy

Confirmatory factor analysis (Standard and Advanced versions)

Dimensionality analysis (First-order and second-order analysis);

Review the work, release payment, and leave feedback to Tomoe.