bivariate analysis


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Related to bivariate analysis: multivariate analysis, univariate analysis

analysis

 [ah-nal´ĭ-sis] (pl. anal´yses)
separation into component parts.
psychoanalysis. adj., adj analyt´ic.
activity analysis the breaking down of an activity into its smallest components for the purpose of assessment.
bivariate analysis statistical procedures that involve the comparison of summary values from two groups on the same variable or of two variables within a group.
blood gas analysis see blood gas analysis.
chromosome analysis see chromosome.
concept analysis examination of the attributes of a concept as it occurs in ordinary usage in order to identify the meanings attached to the concept.
content analysis a systematic procedure for the quantification and objective examination of qualitative data, such as written or oral messages, by the classification and evaluation of terms, themes, or ideas; for example, the measurement of frequency, order, or intensity of occurrence of the words, phrases, or sentences in a communication in order to determine their meaning or effect.
correlational analysis a statistical procedure to determine the direction of a relationship (positive or negative correlation) between two variables and the strength of the relationship (ranging from perfect correlation through no correlation to perfect inverse correlation and expressed by the absolute value of the correlation coefficient).
analysis of covariance (ANCOVA) a variation of analysis of variance that adjusts for confounding by continuous variables.
data analysis the reduction and organization of a body of data to produce results that can be interpreted by the researcher; a variety of quantitative and qualitative methods may be used, depending upon the nature of the data to be analyzed and the design of the study.
ego analysis in psychoanalytic treatment, the analysis of the strengths and weaknesses of the ego, especially its defense mechanisms against unacceptable unconscious impulses.
gait analysis see gait analysis.
gastric analysis see gastric analysis.
multiple-locus variable number of tandem repeat analysis (MLVA) a laboratory tool designed to recognize tandem repeats and other qualities in the genome of an individual to provide a high resolution DNA fingerprint for the purpose of identification.
multivariate analysis statistical techniques used to examine more than two variables at the same time.
power analysis a statistical procedure that is used to determine the number of required subjects in a study in order to show a significant difference at a predetermined level of significance and size of effect; it is also used to determine the power of a test from the sample size, size of effect, and level of significance in order to determine the risk of Type II error when the null hypothesis is accepted.
qualitative analysis the determination of the nature of the constituents of a compound or a mixture of compounds.
quantitative analysis determination of the proportionate quantities of the constituents of a compound or mixture.
SNP analysis analysis of single nucleotide polymorphisms to assess artificially produced genetic modifications or identify different strains of an organism.
transactional analysis a type of psychotherapy based on an understanding of the interactions (transactions) between patient and therapist and between patient and others in the environment; see also transactional analysis.
analysis of variance ANOVA; a statistical test used to examine differences among two or more groups by comparing the variability between the groups with the variability within the groups.
variance analysis the identification of patient or family needs that are not anticipated and the actions related to these needs in a system of managed care. There are four kinds of origin for the variance: patient-family origin, system-institutional origin, community origin, and clinician origin.
vector analysis analysis of a moving force to determine both its magnitude and its direction, e.g., analysis of the scalar electrocardiogram to determine the magnitude and direction of the electromotive force for one complete cycle of the heart.

bivariate analysis

One of the simplest forms of statistical analysis investigating the relationship between two variables (X, Y), which can be displayed as a percentage table, a scatterplot or as a calculation of a correlation coefficient.
References in periodicals archive ?
Therefore, it is not surprising that the bivariate analysis showed that low maternal educational status was associated with adolescent repeat pregnancy in our study (p=0.097).
After adjusting for all statistically significant variables at bivariate analysis (Table 3), mothers with baseline CD4 counts of more than 500 cells/ul were significantly less likely to transmit HIV compared to those with baseline CD4 counts below 350 cells/ul (adjusted odds ratio (AOR) = 0.29; 95% CI: 0.10-0.85; p = 0.024).
After bivariate analysis was performed, the logistic regression model was adjusted: the variables of gender, age group, skin color and education were included because they had a p value of less than 0.2.
The bivariate analysis conducted in this study showed an association between cognitive impairment and low educational level.
The bivariate analysis also demonstrated that an elevated random blood glucose level or low density lipoprotein (LDL) level significantly increased the cardiovascular risk.
When we add the potentially endogenous variables (dsf, cbsch, and tba) to Models 2-5, positive and significant correlations are derived; this accords with the results of the bivariate analysis. What is important here is that the inclusion of the potentially endogenous variables does not qualitatively alter coefficients on the more predetermined variables.
Independent sample t-test was used to compare the means of two groups in pre and post-operative conditions while chi-sqaure test was used for bivariate analysis to confirm the significant association of complications for two groups.
The factors associated with the Grade 2 at diagnosis as obtained by bivariate analysis are shown in Table 2.
A bivariate analysis of launches between residential and commercial units shows that only 4% of new launches have been in the office segment.
Bivariate analysis found no statistically significant correlation with any cervical risk factor.
CMCC graduates reported more workers' compensation cases than graduates from UQTR in the bivariate analysis, but the college of graduation was not statistically significant in the multivariate analysis.