Type of support provided
Ways in which the Support Service can help university researchers
(1) Study Design and Surveys
- Designing efficient single factor or multi-factor experiments.
- Effective study designs and sampling plans for surveys and observational studies.
- Sample size and power calculations.
(2) Data Analysis
- Data screening, data management.
- Use of statistical software eg SPSS, JMP, SAS, R.
- Use of statistical tools to extract information from the data. eg graphical presentation of data, ANOVA, Regression, Time series.
- Interpretation of results.
(3) How to write-up statistical results.
- Choose relevant statistical output and make meaningful graphs, tables and text in results sections of theses, papers and reports.
- Conform to good practice in the way in which the results are reported.
- Assistance with responding to statistical aspects of reviewer comments on submitted theses or papers.
(4) Grant or project proposals.
- study and survey design,
- sample size and power,
- how the results will be analysed,
- estimating a budget for statistical support for the proposal,
- reading the methodology section of proposals.
The greatest benefit is obtained if the service is involved at the start of proposal development.
(5) Seminars/Workshops/Courses in Statistics for Individual or School/Discipline needs
- Use of statistical software, data analysis methods, statistical tools etc.
Benefits of statistical support
More effective studies and research through
- reduced time to solve research problems
- sound statistical interpretation of results
- valid research results for published work
- higher quality projects
- more effective researchers through increased skill in statistical techniques.
Contacting a consultant as early as possible, ideally during the study design stage, rather than after data is collected, can improve the quality of the project and possibly save wasted effort.