Structural Equation
Models
1.Models
Structural equation models are a special - different section on statistical analysis. SEM stands under General Linear Models
2. Variables
Apart form the recorded variables, SEM entail the analysis of latent variables and define multi level relationships between outcomes and independent variables.
3. Advantages
SEM allow for the estimation of measurement errors and include them in the final model
4. Applications
Confirmatory Factor Analysis, Path Analysis and Mediation Analysis are all under the umbrella of SEM, and under our expertise
5. Software
Using popular and highly effective software such as AMOS, Smart PLS and JASP
6. Scientific ground of application
SEM is rather popular in studies carried out using questionnaires in Education, Psychology, Speech and Language Therapy and more...
Our most recent
presentations
- PRESENTATION 1
- PRESENTATION 2
- PRESENTATION 3
Feasibility study of IoT telemonitoring for elderly patients with type 2 diabetes mellitus: Results of the Greek pilot of the ACTIVAGE multicenter randomised control trial.
George Dafoulas, Christina Karaberi, Sofia Segkouli, George
Dimakopoulos, Konstantinos Votis, Dimitrios Tzovaras & Alexandra Bargiota
Endocrine abstracts May 2021 Vol 73 ISSN 1479- 6848
Sex-specific variations in lipid concentrations following a low-fat diet are mediated by vitamin D status: a 12-week prospective dietary intervention study among Christian Orthodox fasters.
Spyridon Karras, Theocharis Koufakis, Lilian Adamidou, Georgios Dimakopoulos, Paraskevi Karalazou, Katerina Thisiadou, Alkiviadis Bais5, Themistoklis Tzotzas, Kali Makedou, Eleni Manthou & Kalliopi Kotsa
Endocrine abstracts May 2021 Vol 73 ISSN 1479- 6848
Effects of Christian Orthodox versus intermittent fasting on plasma irisin concentrations in overweight adults.
Spyridon Karras, Theocharis Koufakis, Lilian Adamidou, Georgios Dimakopoulos, Paraskevi Karalazou, Katerina Thisiadou, Kali Makedou & Kalliopi Kotsa
Endocrine abstracts May 2021 Vol 73 ISSN 1479- 6848