Statistical Analyses
The service includes a thorough expert review of the statistical methods and tests used in your study, assessing their accuracy, validity, and suitability for your research design. You will receive constructive, actionable feedback on your methods, results, and the interpretation of your findings, enabling you to refine your analysis and presentation. In addition, the service offers targeted recommendations for improvement, grounded in current statistical best practices, to strengthen the rigour and credibility of your work.
Service features
· Advanced quantitative data analysis, including but not limited to:
o Multivariate analysis
o ANOVA and ANCOVA
o Regression modelling
o Hypothesis testing
· Identification and interpretation of key findings to establish statistical significance
· Drawing of inferences that are logically and statistically aligned with your research objectives
· Presentation of results in publication-ready tables and/or graphs, following standard formatting practices
Custom Statistical Support
Tailored Statistical Guidance for Your Research Needs
Choose Custom Statistical Support when you have a unique or complex requirement and are unsure which specific statistical service is most appropriate. Whether you’re at the planning stage or finalising your manuscript, our team will provide personalised support to help you report statistics with clarity, accuracy, and rigour.
Opt-ins
· Research design and methodology: Guidance on study design, sampling strategy, variable selection, and data collection plans
· Systematic review and data collection: Statistical input during evidence synthesis, data extraction frameworks, and collection protocols
· Manuscript finalisation: Assistance with result interpretation, data presentation (tables/figures), and alignment with journal reporting standards
What types of statistical analysis services does CrossChannel provide?
CrossChannel offers a comprehensive range of statistical analysis services tailored to meet the specific needs of academic and clinical research. Our services include:
· Descriptive Statistical Analysis: This involves testing for normality, identifying outliers and patterns in the data, summarising datasets using measures of central tendency (mean, median, mode) and variability (standard deviation, range), and presenting findings through appropriate tables and graphical representations.
· Inferential Statistical Analysis: This includes all elements of descriptive analysis, with the addition of univariate and multivariate techniques (e.g. ANOVA, regression modelling, hypothesis testing). These methods are employed to evaluate statistical significance, support hypothesis testing, and facilitate the drawing of valid, evidence-based conclusions.