Significance of Chi-Squared Test
In Science, the Chi-Squared Test is a statistical method used to analyze categorical data. In Psychiatry, it's employed to determine associations between variables, like identifying relationships between factors and substance use or bullying. Within Health Sciences, the Chi-Squared Test is a versatile statistical tool. It determines significant associations between categorical variables, comparing proportions, analyzing relationships between factors and outcomes, and assessing differences in prevalence or allele frequencies across groups.
Synonyms: Chi-square test, Pearson's chi-squared test
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Chi-Squared Test in scientific sources
The Chi-Squared Test is a statistical method used to analyze categorical data, assess associations between variables, and compare proportions. It determines the significance of differences or relationships, often used to evaluate factors like gender, prevalence, and outcomes in various studies.
From: The Malaysian Journal of Medical Sciences
(1) A statistical test used for categorical variables to compare data, and was used to compare the data of male and female participants.[1] (2) This is a statistical method used to determine if there is a significant relationship between two or more categorical variables, which was used in the study.[2] (3) Chi-squared test is a statistical test used to determine relationships between variables, and it was used to determine relationships between resistance and sample types.[3] (4) This is a statistical test used to compare the percentages or proportions between groups.[4] (5) This statistical test, the Pearson’s chi-squared test, was used to analyze the relationship between parenting styles and the risk of ADHD in the children.[5]
From: International Journal of Pharmacology
(1) This was performed to determine differences in the proportions of the categorical variables in the study.[6] (2) A statistical test used to analyze categorical data, comparing rates and proportions between groups.[7] (3) A statistical test used to compare variances between categorical variables, employed in the study to analyze group differences.[8] (4) This statistical test is used to analyze the relationship between two categorical variables, often applied to compare proportions or frequencies in different groups.[9] (5) A statistical test used to compare categorical data between groups.[10]
From: South African Journal of Physiotherapy
(1) This is a statistical test used to analyze the data obtained from the questionnaire, and the p-value obtained from it was used to determine the significance of the results.[11] (2) A statistical test used to examine the relationship between categorical variables, allowing researchers to establish associations between different factors and outcomes in the study.[12] (3) These were used in the study to analyze variables and determine significance levels, alongside Pearson’s correlation and Spearman’s coefficient, to understand the relationships between different factors related to informed consent.[13] (4) These are statistical tests used to compare the proportions of correct responses between different groups of physiotherapists, such as members and non-members of a specific group.[14]
From: Journal of Public Health in Africa
(1) This is a statistical test used to determine if there is a significant difference between the proportions of two groups.[15] (2) A statistical test used to determine the association between home delivery and various factors, as used in other research.[16]
From: Journal of Metabolic Health
(1) Statistical tests employed to analyze the responses gathered from the online survey, comparing proportions and assessing relationships between categorical variables.[17]
From: South African Family Practice
(1) This is a statistical test used to analyze the association of factors with the outcomes of the patients, such as age, gender, and co-morbidity.[18]
From: South African Journal of HIV Medicine
(1) This is a statistical test used to compare proportions, and comparison of proportions was performed using these tests, or Fisher’s exact test.[19]
From: African Journal of Primary Health Care and Family Medicine
(1) This is a statistical test used to compare proportions between groups, and it was used to analyze the data in the study.[20]
From: South African Journal of Psychiatry
(1) These are statistical tests used to assess the differences between the data collection periods, as described in the text.[21] (2) This was used to determine the association between variables, helping to identify relationships between different factors and substance use.[22] (3) This refers to the statistical method used to determine the association between different factors and the outcome measure in the study.[23] (4) Chi-squared test was used to determine the variables associated with bullying.[24]
From: International Journal of Pharmacology
(1) A statistical method used to analyze categorical data, such as the proportion of mice exhibiting seizures.[25] (2) A statistical test used to analyze categorical data, applied here to the number of animals convulsing.[26] (3) A chi-squared test was utilized to analyze the deviation of genotyping data from the Hardy-Weinberg equilibrium.[27] (4) A statistical test used to analyze categorical data.[28]
From: International Journal of Environmental Research and Public Health (MDPI)
(1) This was used for comparison between variables in the study.[29]