statistics helper

Overview

The Statistics Helper application is designed to assist researchers and students in selecting the appropriate statistical analysis method for their hypotheses. This tool simplifies the decision-making process by guiding users through a series of straightforward questions. If additional information is required, the app provides supplementary resources.

How It Works

Once you identify the correct statistical test, the app offers detailed "how-to" guides for both SPSS and Cran R. These guides ensure that you can confidently perform the necessary analyses using these popular software tools.

Avoiding Common Pitfalls

Reviewers and supervisors frequently encounter studies that employ inappropriate statistical analyses, as highlighted in research such as Fernandes-Taylor et al. (2011) and Strasak et al. (2007). Statistics Helper mitigates this issue by offering a broad overview of various statistical methods rather than delving deeply into just a few. This approach ensures that you have access to a wide range of methodologies. For further reading, the app provides links to the original publications where you can find more detailed information.

Current Capabilities

At present, the app primarily covers univariate tests for:

• Hypotheses about differences
• Hypotheses about associations

Despite these initial limitations, Statistics Helper already includes MORE THAN 70 METHODS, and the list continues to grow.

Feedback and Support

Should you encounter any issues or have suggestions for improving the app, feel free to reach out via email. Your feedback is invaluable in helping us enhance the user experience.

References

• Fernandes-Taylor, S., Hyun, J. K., Reeder, R. N., & Harris, A. H. (2011). Common statistical and research design problems in manuscripts submitted to high-impact medical journals. BMC Research Notes, 4(1), 1-5. doi: 10.1186/1756-0500-4-304
• Strasak, A. M., Zaman, Q., Pfeiffer, K. P., Gobel, G., & Ulmer, H. (2007). Statistical errors in medical research—a review of common pitfalls. Swiss medical weekly, 137(3/4), 44.