multivariate analysis


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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.

multivariate analysis

(statistics) an analysis involving several variables simultaneously.

multivariate analysis,

n a statistical approach used to evaluate multiple variables.

multivariate analysis,

n a set of techniques used when variation in several variables has to be studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.

multivariate analysis

see multivariate analysis.
References in periodicals archive ?
Multivariate analysis for the selection of eucalyptus clones destined for charcoal production.
And since 1986, they have been using the results with multivariate analysis programs to classify each food.
The multivariate analysis of variance resulted in a significant variation (P [less than or equal to] 0.
The multivariate analysis that identified left atrial size as the only baseline variable independently linked with higher AF recurrence and burden incorporated 14 variables, including age, diabetes, hypertension, coronary artery disease, and left ventricular ejection fraction.
In a multivariate analysis, the frequency of condom use did not significantly influence women's risk of developing cervical lesions.
After adjustment for the standard stroke risk factors in a multivariate analysis, women with a baseline triglyceride level in excess of 200 mg/dL had a 98% greater risk of ischemic stroke than did those with a triglyceride level below 150 mg/dL.
A multivariate analysis of variance was conducted with gender, primary language, and ability as independent variables.
A way to address this matter is the utilization of multivariate analysis techniques (FRANCI et al.
The author has organized the main body of his text in eight chapters devoted to issues and assumptions in multivariate statistics, two-group multivariate analysis, multivariate analysis of variance, exploratory factor analysis, principal components analysis, multidimensional scaling, structural equation modeling, R packages, and a wide variety of other related subjects.
It simplifies the complexity of vegetation description and multivariate analysis in the context of vegetation data and plant ecology.
In a multivariate analysis that controlled for age, sex, race, ethnicity, education, depression, alcohol use, smoking, and physical activity, survey participants with hyperactive-impulsive symptoms of ADHD had a statistically significant 63% increased risk of being obese compared with survey participants without these symptoms.

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