What this is
Statistical Analysis is the process of answering research questions with data. The appropriate analytical approach depends on the research question, study design, sampling approach, measurement structure, and characteristics of the dataset.
AcadStat can perform statistical analysis for a study that has not yet been analysed, review an analysis that has already been conducted, or carry out a complete reanalysis when the existing approach needs to be reconsidered.
This means the service can support different stages of a research project. You may have a completed dataset and need the analysis done from the beginning. You may already have statistical results and want an independent review. You may have an analysis that contains methodological or technical problems and need it redone. You may also need additional analysis to answer research questions that were not adequately addressed in the original work.
Our work can include descriptive analysis, inferential statistics, regression modelling, association testing, comparative analysis, subgroup analysis, longitudinal analysis, survey analysis, and other methods appropriate to the study. Where the evidence is qualitative, appropriate qualitative coding and analytical approaches can also be applied.
The analysis is developed around the evidence available and the claims the study can reasonably support. Where assumptions, uncertainty, limitations, or design constraints affect interpretation, these are made explicit.
When you need it
You need Statistical Analysis when a dataset exists and the research questions need to be answered.
You may need us to conduct the analysis for the first time, review an existing analysis, reproduce an analysis to verify the results, correct analytical errors, perform a reanalysis using a more appropriate method, or extend an existing analysis to address additional research questions.
You may also need statistical support when you have results but are uncertain about what they mean, whether the methods used were appropriate, or whether the conclusions are supported by the data.
What AcadStat delivers
AcadStat begins by understanding the research question, study design, variables, sampling approach, and analytical objectives. We then determine the appropriate analytical strategy and apply the relevant methods.
Depending on the project, our work may include data preparation for analysis, descriptive statistics, statistical testing, model development, assumption checking, diagnostic procedures, sensitivity analysis, subgroup analysis, interpretation, tables, figures, statistical syntax, and analytical documentation.
When reviewing or redoing an existing analysis, we examine the original methods, data preparation, statistical procedures, assumptions, outputs, and interpretation. Where necessary, the analysis is reconstructed so that the results can be independently understood and checked.
The final output is not simply statistical software output. We explain what the findings show, what they do not show, how certain the conclusions are, and what limitations should accompany their interpretation.
