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 ?
The multivariate analysis also showed that women were 7% less likely to receive thrombolytics; 12% less likely to receive an antiplatelet IIb/ IIIa drug; 19% less likely to have diagnostic catheterization; 16% less likely to undergo an acute, percutaneous coronary intervention; and 39% less likely to have CABS during their acute hospitalization.
SIMCA-QP+ incorporates the latest multivariate methods, combining leading technology and expertise from silicon fabrication with world leading multivariate analysis.
Kendall's monograph, A Course in Multivariate Analysis, published in 1957, and S.
The Treatment of Missing Data in Multivariate Analysis.
The distribution of the non-null characteristic roots of a matrix derived from sample observations taken from multivariate normal populations is of fundamental importance in multivariate analysis.
His firm uses a multivariate analysis or generalized linear model to identify differences in either renewal, retention or conversion (sales as a percentage of quotes) within the risk class.
SmartForecasts gives planners the tools to handle seasonality, promotions, new and aging products, multivariate analysis, and intermittent product demand.
Multivariate analysis revealed that there were no statistically significant differences between the two groups with respect to age, sex, duration of symptoms, affected side, and the results of audiologic testing and electronystagmography (table 1).
1970), were also statistically significant in our multivariate analysis, but they explained very little of the variance in client satisfaction after the service delivery variables in our study were taken into account.
This multivariate analysis can allow for measurable variables other then the receipt of VR services, which may influence the duration of employment or unemployment.
A multivariate analysis is required to show the relative importance of the characteristics and to assess the effect of one variable when all others are held constant.
The articles include a review of the literature on infant mortality; a multivariate analysis to assess the relative contribution of vaccination, birth attendants, mothers' literacy and poverty in explaining interstate variations in infant mortality; an examination of the correlates and determinant of infant mortality and a review of the analytical frameworks and methodological issues involved in studying the determinants of infant mortality.

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