Content

Subject carrier

Description



• Systematic literature review with meta-analysis (PRISMA, meta-analysis,
tools to support systematic literature review and meta-analysis, reporting
systematic literature review and meta-analysis findings) • Research methods in
public health o Methodological peculiarities of research in public health
o Quantitative and qualitative approach to research o Triangulation principle
and combination of quantitative and qualitative methods approaches o Sampling in
quantitative and qualitative studies and conclusions based on research results
(sample size, statistical power, saturation principle) o Tools for quantitative
and qualitative research • Validity and reliability of research instruments
o Questionnaire development/adaptation/ translation procedure o Assessment of
the validity and reliability of measuring instruments o Validity and reliability
in qualitative research methods • Programming basics for data processing and
analysis o Programming principles (syntax, conditional/embedded statements,
etc.) o Basic commands for data processing o Data transformation o Practical
programming in a selected program environment (e.g. Mathlab) • Advanced
statistical methods o General Linear Model (GLM) o Multivariate GLM o Multiple
linear and binary logistic regression o Advanced forms of correlations
o Discriminant analysis o Factor analysis (factor analysis types and their use)
• Data mining and decision models o Data mining methods o Data preparation
o Data visualization o Decision models basics o Data mining and decision models
tools • Structural modelling (SEM) and path analysis o Conditions for
implementing SEM o Quality of the model o Tools for SEM