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Significance of Friedman Test

The Friedman Test is a non-parametric statistical method used to assess differences across multiple related groups, particularly in studies evaluating changes over time or treatment effects. It is applied in scenarios such as comparing pre, mid, and post-treatment scores and analyzing the impact of various mouth rinses on microbial counts. The test is significant for follow-up comparisons and critiques in data analysis, making it a versatile tool for examining job satisfaction scores among different health care professions.

Synonyms: Kruskal-wallis test, Non-parametric test, Repeated measures anova

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The concept of Friedman Test in scientific sources

Science Books

The Friedman Test is a non-parametric statistical test used to compare pre, mid, and post-treatment scores within groups, demonstrating significant changes over time in outcome assessments in the study.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) This is a statistical test used for non-parametric continuous variables, and was used when the normality assumption was not met.[1] (2) The Friedman test was used to compare the amplitudes and latencies of waves I, III, and V for each stimulus, as stated in the data analysis section.[2] (3) A statistical test applied to assess the differences in overall job satisfaction scores among the various health care professions.[3]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.