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Decision-tables for choosing commonly applied inferential statistical tests in comparative and correlation studies.
Helen Evelyn Malone1, Imelda Coyne2
1University of Dublin Trinity College, School of Nursing and Midwifery, Dublin, Republic of Ireland.
Nurse Researcher
|October 18, 2019
Summary
This study offers decision tables to help nurse researchers select appropriate statistical tests for comparative and correlation studies. These tables simplify the process for novice researchers navigating diverse statistical methods.
Area of Science:
- Nursing Research
- Biostatistics
Background:
- Nurse researchers utilize a broad range of inferential statistical tests.
- Novice researchers face challenges in selecting appropriate statistical tests due to this variety.
Purpose of the Study:
- To provide structured decision tables for selecting statistical tests.
- To aid in choosing tests for comparative and correlation studies.
Main Methods:
- Identification of commonly applied statistical techniques in nursing research.
- Construction of overview tables and decision-making pathways.
Main Results:
- Development of unique decision tables tailored for nursing studies.
- Tables simplify the selection process for various study designs.
Conclusions:
- Decision tables serve as a valuable tool for nurse researchers.
- Novice researchers can use these tables as a starting point for statistical test selection.
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