Training activity information
Details
Execute a planned statistical analysis in order to generate novel information
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
- Statistical tools
Reflective practice guidance
The guidance below is provided to support reflection at different time points, providing you with questions to aid you to reflect for this training activity. They are provided for guidance and should not be considered as a mandatory checklist. Trainees should not be expected to provide answers to each of the guidance questions listed.
Before action
- How does executing this analysis contribute to generating novel information using appropriate statistical methods?
- What is the planned statistical analysis? What software or tools will you use to execute the analysis? What are the steps involved in running the analysis?
- What practical skills will you develop in executing statistical analysis? How will you interpret the results generated by the analysis?
- Will you ensure you have access to the necessary software and data? Will you review the steps of the planned analysis?
- How do you feel about executing this statistical analysis? Are you confident in your ability to use the relevant software and interpret the output?
In action
- What specific commands or steps are you currently executing in your chosen statistical software (e.g., R, Python)? How are you ensuring the data is correctly loaded and formatted for analysis? What parameters or settings are you adjusting during the execution? Are you documenting the steps you are taking?
- Are you encountering any errors or unexpected outputs from the software? Is the analysis running as you anticipated? What are you observing in the initial results? How does the execution process relate to your understanding of the planned analysis?
- If you encounter errors, how are you troubleshooting them (e.g., checking syntax, reviewing documentation)? If the initial results are not what you expected, are you re-examining your code or the data? Are you considering alternative ways to execute certain steps in the analysis?
On action
- What were the key steps involved in executing your analysis using the chosen software? Did the analysis run smoothly, or did you encounter any errors? What were the initial results of your analysis?
- What did you learn about the practical aspects of executing a statistical analysis using specific software (e.g., R, Python)? Did you encounter any unexpected issues with the data or the software? How did your real-time problem-solving help you overcome any challenges during execution? How does the execution phase relate to the overall data analysis process? What are the common pitfalls to avoid when executing statistical analyses?
- How will you approach executing statistical analyses in the future? What specific software skills or troubleshooting techniques do you want to develop further? How will you ensure the accuracy and reproducibility of your analyses? What are your next steps to improve your skills in statistical analysis execution?
Beyond action
- Considering your increased proficiency in statistical software (e.g., R/Python), how would you approach the execution of a similar analysis now? Have you executed other statistical analyses since this training activity? What challenges did you encounter and how did you overcome them? Did you learn new software techniques or packages that could have made the original execution more efficient or robust? Revisit your reflect-on-action notes. How has your understanding of the practicalities of statistical analysis execution deepened?
- Has this hands-on experience improved your ability to troubleshoot issues that arise during statistical analysis execution? How has it contributed to your understanding of the importance of data wrangling and preparation prior to analysis? Has this training activity enhanced your familiarity with the practical application of statistical methods in a software environment? Has it influenced how you approach data cleaning and validation before running an analysis?
- What technical skills in statistical software and data manipulation did you develop through this training activity that will be crucial for future data analysis tasks? What further training or resources will you seek to enhance your skills in executing complex statistical analyses? How will your ability to effectively execute planned analyses contribute to your future role in generating meaningful insights from health data?
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 3 |
Outcome
Plan and execute the statistical analysis of data to answer questions relating to healthcare using appropriate methods with a clear and defensible rationale. |