Statistical Help by Faculty – SPSS, Data Analysis, Theses, Dissertations, and Research
Statistical help by faculty is intended for students, PhD candidates, and researchers working on final theses, master’s theses, doctoral dissertations, and different types of empirical and scientific research. Depending on the field of study, the most common research problems, data types, methodology, and statistical procedures can vary considerably.
On this page, you can find an overview of the main academic fields in which we provide professional statistical help for students and PhD candidates, including SPSS help and statistical data analysis, from research planning to final interpretation of results.
Statistical help by type of faculty
Different faculties and study fields have different research patterns. That is why we have organized the content by major faculty groups, so that you can more quickly find the area that is closest to your thesis topic, research design, and type of data.
- Economics Faculties
- Medical Faculties
- Humanities / Psychology / Sociology
- Health Studies
- Educational Rehabilitation
- Kinesiology Faculties
- Teacher Education Faculties / Education / Pedagogy
What does statistical help by faculty include?
Regardless of the faculty, the research process usually includes several interconnected steps. In practice, we most often help with the following phases:
- defining the research problem and objective
- formulating hypotheses and research questions
- choosing the methodology
- designing surveys, questionnaires, and other instruments
- determining sample size
- analyzing data in SPSS, AMOS, and other tools
- interpreting results and writing the statistical section of the thesis or dissertation
If you need a broader overview of the research process, the guide How to Conduct Research – Step by Step may also be useful.
Why is classification by faculty important?
Although basic statistical principles apply across disciplines, different faculties have their own typical research patterns:
- economics faculties often involve surveys, regression models, factor analysis, and behavioral research
- medical faculties often involve clinical and scientific studies, group comparisons, and medical statistics
- humanities faculties, psychology, and sociology often use questionnaires, scales, correlations, and factor analysis
- health studies often focus on functional measurements, clinical and therapeutic outcomes, and quality of life
- educational rehabilitation often involves assessment of children and adults, instrument validation, and reliability analysis of scales
- kinesiology faculties often involve experimental studies, pre-post measurements, and repeated measures designs
- teacher education faculties often involve surveys among teachers, preschool teachers, and parents, Likert scales, factor analysis, and group differences
Because of this, it is useful to organize content by faculty type, so that students and researchers can more easily find examples and support relevant to their own field.
Main faculty groups
Economics Faculties
This area includes topics such as management, marketing, finance, accounting, tourism, and business analytics. Surveys, attitude measures, regression models, and factor analysis are common.
See the hub for economics faculties
Medical Faculties
Research in medicine and clinical science often includes group comparisons, clinical indicators, logistic regression, medical statistics, and precise methodological planning.
See the hub for medical faculties
Humanities / Psychology / Sociology
This area often includes questionnaires, psychological and sociological scales, correlations, regression models, and instrument validation.
See the hub for humanities faculties
Health Studies
This cluster includes nursing, physiotherapy, occupational therapy, and other applied health areas with a focus on clinical, functional, and therapeutic outcomes.
See the hub for health studies
Educational Rehabilitation
This area often includes assessment of children and adults, scales, instrument validation, Cronbach’s alpha analyses, and group comparisons.
See the hub for educational rehabilitation
Kinesiology Faculties
This area often includes experimental research, sports and health statistics, ANOVA, repeated measures designs, and evaluation of training effects.
See the hub for kinesiology faculties
Teacher Education Faculties / Education / Pedagogy
This area often includes surveys among teachers, preschool teachers, and parents, Likert scales, correlations, factor analysis, and group differences.
See the hub for teacher education faculties
Faculties by country
To make the content even more useful and easier to navigate for users from different countries, in addition to grouping by faculty type, a further organization by country is also planned. This will make it easier to connect specific faculties and study programs within each country.
- Faculties in Croatia
- Faculties in Slovenia
- Faculties in Bosnia and Herzegovina
- Faculties in Serbia
- Faculties in Montenegro
This way, users can access content both by academic field and by country, which further improves relevance and navigation.
How does the collaboration process work?
The collaboration process is adapted to students and researchers from different academic areas:
- you send the topic or draft of your thesis or dissertation
- you send the description of the research and the hypotheses
- if needed, you attach the questionnaire, instrument, or data set
- you receive a proposal for the statistical approach
- you receive a price estimate and recommendations for the next steps
For an overview of costs, you can also check statistical data analysis pricing, and for individual support and training, statistics tutoring and courses.
Conclusion
The Faculties hub page serves as the main central point for statistical help by faculty type and later also by country. The goal is to help students, PhD candidates, and researchers quickly find the field that best matches their study program, thesis topic, and data type.
Whether you are doing research in economics, medicine, psychology, pedagogy, kinesiology, health studies, or educational rehabilitation, a correctly chosen methodology and high-quality statistical analysis can greatly improve the clarity, quality, and scientific value of your work.
Keywords
statistical help faculties, statistical help by faculty, SPSS help students faculty, data analysis thesis faculty, statistics dissertation faculties
Metatext
Statistical help by faculty: economics, medical, humanities, health studies, kinesiology, teacher education, and educational rehabilitation faculties. SPSS, data analysis, and interpretation of results.
