Significance of Mean score
The mean score is a statistical measure representing the average numerical value derived from respondents' answers, reflecting their level of satisfaction or perception. It is used to analyze various parameters, including clinical effectiveness, social support, and knowledge levels among participants. The mean score helps in comparing different groups within research studies, indicating overall trends and performance. Additionally, it quantifies responses in various assessments, providing insights into areas such as acceptance and stress levels among patients before and after interventions.
Synonyms: Median score, Average, Median, Central tendency, Middle
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The concept of Mean score in scientific sources
The Mean score represents the average values from assessments related to treatment effectiveness and practitioners' knowledge in public health, serving as a crucial metric for evaluating intervention outcomes and professional competency.
From: The Malaysian Journal of Medical Sciences
(1) Mean scores and median scores are used to compare results, and the type of visual analogue scale varies among the studies, complicating direct comparisons.[1] (2) Mean score refers to the average score of the OSDI, which was 21.10 ± 18.13 in the study population, providing a measure of the severity of dry eye symptoms.[2] (3) The average score obtained on the 50-item DREEM inventory, which was 120.12 out of a maximum of 200, indicating students' perceptions of the learning environment.[3] (4) Mean score is obtained by cumulating all points and dividing by the total number of items in the SiC questionnaire to evaluate the scores.[4] (5) This is a statistical measure used to indicate the average level of stress, where a higher score suggests a greater degree of stress experienced by the respondents.[5]