Significance of Significant difference
"Significant difference" denotes a statistically meaningful variation between groups or conditions. Predominantly used in scientific and health-related research, it indicates that observed results are unlikely due to chance, often determined by a p-value below 0.05. Its presence suggests a real effect of an intervention or a notable relationship between variables, while its absence implies results may be coincidental. The concept appears across diverse fields from Ayurveda to Environmental Science.
Synonyms: Considerable difference, Substantial difference, Important difference, Meaningful difference, Substantial variation, Considerable disparity, Marked difference
In Dutch: Significant verschil; In Finnish: Merkittävä ero; In Spanish: Diferencia significativa; In German: Signifikanter Unterschied; In Malay: Perbezaan yang ketara; In Swedish: Betydande skillnad; In French: Différence significative; In Portugese: Diferença significativa; In Italian: Differenza significativa; In Polish: Istotna różnica
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
Buddhist concept of 'Significant difference'
Significant differences in Buddhism encompass variations in Buddha's birth accounts, debated historical narratives, and textual discrepancies like those in the Bodhisattva-caryavatara, causing scholarly confusion.
From: Bodhisattvacharyavatara
(1) The notable variations between the versions of the Bodhisattva-caryavatara that led to confusion among scholars.[1]
From: Maha Prajnaparamita Sastra
(1) The notable variations in the accounts of the Buddha's birth and early life across different texts and traditions.[2]
From: Dhammapada (translated from the Pali)
(1) Variations in the historical narrative concerning the dates and details regarding key figures and events in Buddhism, subject to scholarly debate.[3]
Hindu concept of 'Significant difference'
In Hinduism research, "significant difference" denotes statistically meaningful variations between groups or treatments, unlikely due to chance. It's often determined by p-values and indicates treatment effectiveness.
From: Journal of Ayurveda and Integrated Medical Sciences
(1) The study found that the effect of treatment on Avyakta Darshana and eye strain showed significant differences between the groups, indicating varying degrees of improvement with different interventions.[4] (2) Significant differences refers to statistically meaningful changes between groups or time points, and there were no significant differences in the laboratory findings at baseline, 45 days and 120 days.[5] (3) Significant difference refers to the statistical finding that the average actual values recorded differ significantly from the standard values stated by Charaka and Sushruta for specific parameters.[6] (4) The study found no “significant difference” between the groups in their level of reduction in Irritability, indicating the treatment may not have a substantial impact on this symptom.[7] (5) This describes a notable variation in outcomes between different groups, which is statistically significant and may indicate the effectiveness of a treatment.[8]
From: International Research Journal of Ayurveda and Yoga
(1) Among 68 subjects (73.9%) who having possible minor depression to severe depression there was this in the scores.[9] (2) A statistically meaningful change, indicating that the observed effect is likely due to the treatment rather than chance.[10] (3) Based on sociodemographic characteristics, no this was found between the experimental and control groups.[11] (4) Percentage relief on Vedana , Sandhishotha , Jadyama, Atopa , Sandhihanti , Prasarna akunchan pravriti vedanaSparsha Asahyata were more in GroupA but without any statistically significant difference in comparison to group B except in symptom of Jadyama where it was significant.[12] (5) The groups on pain shows the significant differences on 1 st , 2 nd , 3 rd , 4 th , 6 th and 7 th day.[13]
From: Journal of Ayurvedic and Herbal Medicine
(1) The study found that there is not a statistically significant difference between the input groups (P = 0.394), indicating that the effects of Yavamalaka Choorna and Shuddha Guggulu are comparable.[14] (2) The comparing results between extract receiving groups and glibenclamid receiving groups show that there was not this between them.[15] (3) This describes an important variation observed between the trial and control groups, which helps determine the effectiveness of Kushmanda, as stated in the text.[16] (4) Significant difference is a term used in the study to indicate that the differences observed between the groups are unlikely to be due to chance.[17] (5) The observed variation in results, such as potassium levels, between experimental and control groups that is statistically meaningful.[18]
From: Thirty minor Upanishads
(1) The distinctions that exist within the eight forms of pranava.[19]
The concept of Significant difference in local and regional sources
Significant difference, as defined in the text, highlights disparities between niche 'idea' magazines and mass-circulation publications regarding influencing public opinion. It also distinguishes Tagore's spiritual depth from other Romantic poets' work.
From: Triveni Journal
(1) There are significant differences between the Chinese version of the Ramayana and the traditional story, such as the cause of Rama's exile being a wicked uncle instead of a step-mother.[20] (2) These are differences that exist between 'idea' magazines and those edited for mass circulation, including their approach to influencing or reflecting public opinion.[21] (3) The distinction between Tagore's profound spiritual expressions and the sometimes shallower excursions of other Romantic poets.[22]
The concept of Significant difference in scientific sources
"Significant difference" denotes statistically meaningful variations between groups or conditions. These differences are unlikely due to chance, often indicated by p-values, and suggest a real effect or relationship within the data.
From: International Journal of Environmental Research and Public Health (MDPI)
(1) It describes the comparison between boys and girls in severity of depression symptoms.[23] (2) Significant differences between the marriage and single groups ( p < 0.05) and marriage and other groups ( p < 0.01) of drug dependents for exercise attitude.[24] (3) These are notable variations between values in different zones, indicating the impact of industry and other factors on metal concentrations.[25] (4) Significant difference between the two evaluations was observed, and the post-test analysis showed a significant difference in the progress of the students’ creativity after the intervention.[26] (5) The presence of "significant differences" indicates notable variations observed in the study, particularly in the context of intake of sausages and fatty meats related to BMI, SBP, and BAI among males, and the consumption of fatty meats and sausages related to BMI, SBP, and BAI among females.[27]
From: Sustainability Journal (MDPI)
(1) The ASC_IS is statistically significant, implying that interviewees understood quite well that there was significant difference between HD and shopping in store.[28] (2) A significant difference for trust in a company was found between Generation X and Generation Y, and significant differences in effectiveness, knowledge, and trust were found between Generation X and Generation Y regarding blockchain ecolabels.[29] (3) These are statistically meaningful variations between groups.[30] (4) A "significant difference" between groups was not found when comparing answers from those who received the questionnaire with and without a case, leading to the decision to include a case in the final survey.[31] (5) Significant differences indicate that the observed variations between data sets are statistically meaningful and not due to random chance, which allows for conclusions about the impact of the extraction methods.[32]
From: International Journal of Pharmacology
(1) A statistically important variation between groups, which was observed between the sham and trauma groups in terms of brain water content.[33]
From: The Malaysian Journal of Medical Sciences
(1) For each row in the tables, different superscript letters indicate these between groups (P < 0.05, ANCOVA).[34] (2) The results showed significant differences in the motives of affiliation, appearance, and physical condition across the types of co-curricular activities.[35] (3) There was this in the mean age, Body Mass Index, and Waist-to-Hip Ratio of the subjects between the centers.[36] (4) Whole blood, plasma and serum samples showed these in blood glucose levels, with ethylenediaminetetraacetic acid (EDTA) plasma samples.[37] (5) Post-hoc comparisons of the two-way interaction “group x pair of electrodes” showed this in functional coupling for active cTBS versus sham in C3-Fz, C3–Cz, C3–P3, and C3-Pz.[38]
From: Asian Journal of Pharmaceutics
(1) A statistical finding that is unlikely to have occurred by chance.[39] (2) There was at the same time a this intergroup between Groups 2 and 3 in cholesterol levels.[40] (3) This was found in O. formigenes prevalence between control subjects and cases, suggesting a potential association.[41] (4) A notable variation in data or results that is statistically meaningful, indicating a real effect rather than random chance, as assessed in drug release comparisons.[42] (5) A notable distinction observed in statistical comparisons, with a P value of 0.05 used as the threshold for significance.[43]
From: International Journal of Pharmacology
(1) A significant difference (p<0.05) indicates a statistically significant result, meaning the observed difference between groups is unlikely due to random chance.[44] (2) Values are expressed as Mean±SD (n = 4). * against the normal group. ** against control group.[45] (3) Statistical analysis showed no noticeable variation between the treatment using 300 mg kg -1 of PE1 and its positive and substance control, suggesting that this dose is harmful to the animals.[46] (4) A "significant difference" with a p<0.05 was designated as a statistically significant difference, indicating the threshold for statistical significance in the study's results.[47] (5) It is a determination made using one-way ANOVA, with a threshold set at p<0.05 for this test.[48]
From: South African Journal of Physiotherapy
(1) It was found between the pre- and post- assessment outcomes for the three measured variables (pain intensity, functional disability and quality of life).[49] (2) Student’s t-test analysis revealed one of these between male and female participants’ lung function variables with male participants having significantly higher volumes for FVC and FEV1 and significantly higher flow rate for PEFR.[50] (3) Significant difference means there is a noteworthy and statistically supported difference between groups, as observed in this study regarding psychological symptoms between male and female students.[51] (4) A significant difference was observed between the mean number of activity limitations using the International Classification of Functioning for those who reported no, some or severe limitations.[52] (5) This refers to a statistically meaningful difference between groups, with p-values indicating the level of significance.[53]
From: Onderstepoort Journal of Veterinary Research
(1) These between the numbers of epg of Trichostrongylid and Strongyloides were obtained ( P = 0.000) with the former being higher.[54] (2) Significant differences in tick numbers were observed between female camels with grey and brown coat colors, but there were no significant differences in the numbers of nymphs harbored by grey and brown female camels.[55] (3) A significant difference, determined through statistical analyses like T-tests, indicates a notable variation between groups, such as the prevalence of B. acheilognathi in different fish species or seasons.[56] (4) A one-way analysis of variance test was employed to determine these in burdens of Boophilus decoloratus and Rhipicephalus evertsi evertsi.[57] (5) FEC levels in the two treatments were not significantly different up to Day 28 but were significantly different by Day 35.[58]
From: African Journal of Primary Health Care and Family Medicine
(1) is a statistical term indicating that an observed effect is unlikely to be due to chance, and somatising patients were more likely to be of lower socio-economic status; however, despite this observed trend there was no it between the somatisers and the control group.[59] (2) There was no difference in testing between gender, level of education, employment or age in the study.[60] (3) A statistically meaningful variation between groups, indicating that the observed effect is unlikely to be due to chance.[61] (4) A significant difference in psychomotor speed neurocognitive score was observed between the symptomatic and asymptomatic groups in the dominant hand, highlighting the impact of HIV stage on motor skills.[62] (5) It indicates a notable statistical difference between the pre-test and post-test scores, showing the impact of the intervention.[63]
From: South African Family Practice
(1) This refers to a notable statistical difference in the onset of bronchodilatory action between salbutamol and formoterol.[64] (2) This was found in median fat percentage between HIV-infected younger women and their HIV-uninfected counterparts, indicating a health concern.[65] (3) This is a statistically meaningful variation between groups, such as the first-year and second-year interns, concerning the frequency of accidental exposures.[66] (4) The study found significant differences in various factors, such as burnout and psychological symptoms, based on demographic characteristics and other variables.[67] (5) Significant difference is a term used in statistics to indicate that the observed differences between groups are unlikely to have occurred by chance.[68]
From: Journal of Public Health in Africa
(1) There is a significant difference between males and females in correct knowledge to prevent malaria, as more females reported using ITNs as compared to men.[69] (2) A statistically meaningful difference between groups or variables, indicating a real effect rather than random variation.[70] (3) The study aims to determine if there is a significant difference in the blood lymphocytes of white mice between different treatment groups, indicating a meaningful impact.[71] (4) These were found in knowledge and practice scores based on participants' demographics and attitudes toward Jordan's ability to control COVID-19, highlighting key factors.[72] (5) Public vs. private school attendance significantly affected the utilization of the created opportunities to accomplish works that were not executed due to a shortage of time.[73]
From: South African Journal of HIV Medicine
(1) Significant differences were found between patients who underwent abdominal ultrasound examination and those who did not, highlighting the importance of considering these factors when interpreting study findings.[74] (2) There was a significant difference between the total scores for the normal subjects and the HIV-positive patients, irrespective of whether the patients were symptomatic or not.[75] (3) These were determined using Pearson's chi-squared test and Fisher's exact test, with the level of statistical significance set at p < 0.05.[76] (4) This term indicates that the observed difference between groups is unlikely to be due to chance, and the study found a significant difference in HBsAg seroprevalence between men and women.[77] (5) A significant difference in adherence was observed between the Mobile and Control groups, but there was no significant difference in time or interaction, as shown in the results of the study.[78]
From: Journal of Medicinal Plants for Economic Development
(1) This refers to a statistically important variation in the measured values, such as body weight or blood parameters, between the control group and the treated groups, used to measure the effects of the extracts.[79] (2) This is a statistically meaningful difference in the results between different treatments, indicating the effectiveness of a specific intervention.[80] (3) A notable distinction was present among treatments, specifically observed at the sixth and twelfth hours of the incubation period, according to the provided text.[81] (4) A notable variation between two or more things, and there was no significant difference in dry root yield when P. sidoides farmers reduced watering rate and frequency.[82] (5) This term indicates that there is a meaningful variation in the data, indicating that the differences observed are unlikely to be due to chance alone.[83]
From: South African Journal of Psychiatry
(1) A significant difference was found between the instrumental and stigma subscales, indicating that both practical and stigma-related factors play a crucial role in hindering access to care for individuals with ADHD.[84] (2) The level of significance was taken as p <0.05, indicating that results with a p-value less than 0.05 were considered statistically significant difference.[85] (3) Significant differences were found between patients from Mitchells Plain and Khayelitsha regarding age, disability grants, marital status, and first-episode psychosis.[86] (4) A statistically meaningful variation between groups or measurements, indicating a genuine effect or relationship, as found in the study's results.[87] (5) The meaningful variation observed between groups in a study, where in this research, there was a notable difference in the duration of breastfeeding between patients and controls.[88]
From: International Journal of Pharmacology
(1) A probability value of less than 0.05 indicated a significant difference in the statistical analysis.[89] (2) Statistical variations between groups that are unlikely to be due to chance, determined by p-values.[90] (3) Significant differences are statistically determined variations between groups, indicating a meaningful effect of the treatment.[91] (4) A p-value of less than 0.05 was considered the accepted level for determining a significant difference from the control group.[92] (5) Significant differences were observed in sperm motility and serum testosterone concentration between certain groups, as well as in body weight differences and fertility rate.[93]
From: Religions Journal (MDPI)
(1) In the neutral phase, there were no of these in either condition.[94] (2) Significant difference in foxing between the extant Sanskrit fragments and Dharmaksema’s Da banniepan jing belongs to the first twelve fascicles of his translation.[95] (3) Refers to notable variations between groups or conditions. A survey of Muslims in Austria found this between different groups of Muslim residents in Austria, depending on the question.[96] (4) It indicates that observed variations between groups are unlikely to be due to chance, often determined by statistical tests such as ANOVA and t-tests.[97] (5) Statistically meaningful variations between groups or conditions, indicating a true effect rather than chance.[98]