Significance of Mean score
Across various disciplines, the mean score consistently represents an average value derived from collected data. It serves as a central tendency measure, used to assess and compare results, such as symptom severity, test scores, or treatment effectiveness. The mean score is calculated for diverse parameters, including clinical outcomes, quality of life, and knowledge levels. This average aids in understanding trends, evaluating interventions, and providing a summary of the study's findings.
Synonyms: Average score, Median score, Overall score, Average, Median, Central tendency, Middle, Norm
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Hindu concept of 'Mean score'
In the context provided, "Mean score" in Hinduism appears to represent an average value derived from data, used to assess treatment effectiveness. It quantifies changes in symptoms and parameters like pain, blood pressure, and condition severity, comparing values before and after interventions to determine treatment impact and provide statistical analysis.
From: International Research Journal of Ayurveda and Yoga
(1) This is the average value of anger (anger experience, anger expression-in, and anger expression-out), which decreased in the experimental group.[1] (2) The average score of symptoms before and after treatment. A reduction in this score was observed as a result of treatment.[2] (3) This is the average value of a set of numbers, which increased for both male and female students post-intervention.[3] (4) It was used to show the effect of therapy on signs and symptoms.[4] (5) This is a score that is used to show the effect of therapy on IBS SEVERITY SCORE.[5]
From: Journal of Ayurveda and Integrated Medical Sciences
(1) The analysis of this of appearance of duration of excess bleeding in the patient was compared.[6] (2) These scores reflect the average values of the clinical features and are assessed to determine the effectiveness of the treatments and their impact on the condition.[7] (3) Mean scores are the average values calculated to assess the changes in symptoms and parameters, such as Pandutwa, Daurbalyata, Aruchi, and Hb%, throughout the study.[8] (4) This is a statistical measure used to represent the average value of a set of data points, such as pain levels, which is utilized in the study's assessment.[9] (5) This is the average value of measurements, used to quantify the effects of the therapy.[10]
From: Journal of Ayurvedic and Herbal Medicine
(1) This is the average of scores within each domain of the MENQOL questionnaire, with higher scores indicating a lower quality of life in this study.[11] (2) These are the average values calculated for the signs and symptoms of the eye condition, which are used to evaluate the effectiveness of the treatments and compare the changes over time.[12] (3) The average value of the scores assigned to various signs and symptoms, used to assess the severity of the condition and the effectiveness of the treatments over time during the study.[13] (4) The study compared mean scores for various signs and symptoms, such as conjunctival discharge and others, to assess the effectiveness of the treatments, as shown in the results section.[14] (5) This refers to the average values of the measured parameters, such as cholesterol and triglycerides, which were analyzed to determine the effects of the treatments in the study.[15]
The concept of Mean score in scientific sources
Mean score represents the average value of a set of scores, providing a measure of central tendency. It's used in research to compare groups, assess symptom severity, evaluate knowledge levels, and summarize performance across various domains. The mean score can indicate improvement, performance, and perception.
From: Sustainability Journal (MDPI)
(1) Mean scores are calculated to determine the average perceived importance of each barrier, used for ranking their significance in hindering green construction technologies adoption.[16] (2) Mean scores represent the average values calculated for various attributes and scales across different scenarios, providing a summary of participant perceptions.[17] (3) The mean score for motivations ranged from 3.45 to 4.54, providing an average indication of the importance respondents placed on various motivational aspects.[18]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) The average value calculated from a set of measurements, used here to assess changes in psychosocial work environment factors before and after the intervention.[19] (2) The mean score for work–family enrichment (3.58/5) was higher than for work–family conflict (3.28/5), indicating greater perceived importance of enrichment.[20] (3) The mean score from the JSQ is used to determine the presence of sleep disturbance, with a threshold set to indicate regular occurrences of sleep issues.[21]
From: South African Family Practice
(1) The average result obtained by participants on a set of knowledge-based questions, indicating their overall level of understanding.[22] (2) Mean score is calculated for each domain from patients, providers, and managers, and is compared to determine the performance, with the frequency and percentage of people in each category then analyzed.[23] (3) Mean score is the average value calculated for each scale, providing a summary measure of the level of burnout or resilience experienced by the participants.[24]
From: The Malaysian Journal of Medical Sciences
(1) Table 2 presents the changes in mean scores of the constructs of the model in both the groups, after intervention, where scores of the 5 items, including awareness, perceived susceptibility, perceived benefits, perceived barriers, and behavior, increased significantly.[25] (2) This for psychological resilience was estimated at 69.28 (SD = 14.52), and participants reported good QOL and general health satisfaction, with mean scores of 3.95 (SD = 0.76) and 4.15 (SD = 0.69), respectively.[26] (3) Mean scores and median scores are used to compare results, and the type of visual analogue scale varies among the studies, complicating direct comparisons.[27]
From: Asian Journal of Pharmaceutics
(1) The average value of a set of scores. It was used to compare communication skills and quality of care before and after the intervention.[28] (2) The average values obtained from the research data, used to compare and contrast different groups or variables in the study.[29] (3) An average assessment of attitudes toward hepatitis B, revealing negative attitudes overall among the respondents.[30]
From: International Journal of Pharmacology
(1) The average scores achieved by patients in different groups, used to analyze performance and identify significant differences in inhaler technique.[31]
From: African Journal of Primary Health Care and Family Medicine
(1) The average score representing nurses' adherence to PMTCT national guidelines, which was calculated to assess the overall level of compliance in the study.[32] (2) The mean score was 11.9 (s.d. 1.8) for diabetes knowledge, and this score was much higher compared with the mean score in a study conducted in Southern Carolina, which used the original DBKT tool.[33] (3) The results in Table 2 show that the of perceived stress and resilience among the sample across the three selected hospitals were not statistically different, as the text mentions.[34]
From: South African Journal of Psychiatry
(1) Pupils in government and private schools had different mean scores, suggesting a correlation between school type and the prevalence of behavioral problems.[35] (2) This is the average value of a set of scores, providing an overall indication of the typical level of anxiety experienced by the study participants.[36] (3) This is the average value of a set of scores, and the mean scores on the Hamilton Anxiety Rating Scale for orthopaedic patients and patients with multiple somatic complaints were significantly higher than the mean score for the control group.[37]
From: Religions Journal (MDPI)
(1) The mean scores of the CRSi-14 subscales were analyzed according to the participants’ background demographics and their different levels of religiosities, revealing patterns related to age and religious categorization.[38]