ANCOVA

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analysis

[ah-nal´ĭ-sis] (pl. anal´yses)
separation into component parts.
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.
Miller-Keane Encyclopedia and Dictionary of Medicine, Nursing, and Allied Health, Seventh Edition. © 2003 by Saunders, an imprint of Elsevier, Inc. All rights reserved.

ANCOVA

Analysis of covariance. The use of grouped regression analysis, which ensures that comparisons of the variates between two groups are not confounded by possible differences in covariates.
References in periodicals archive ?
Achievement of gifted students by grouping and ethnicity was conducted utilizing a one-way analysis of covariance (ANCOVA).
We performed analysis of covariance (ANCOVA) on the cognitive data and fatigue assessments and separated the subjects into those taking no CNS-active medications and those taking one or more CNS-active medications.
The results of the multivariate analysis of covariance (MANCOVA) indicated that parental volunteerism in Kindergarten raised reading test scores, but it did not have an impact on mathematics test scores.
The investigators used an analysis of covariance model to compare changes in scores from baseline to the end of the study, controlling for treatment, center, and baseline score.
Clay content varied between and within sites: therefore, analysis of covariance was used to determine if measured differences in soil organic carbon and soil bulk density were increased by including the effect of clay content as a covariate.
The Analysis of Covariance indicated no significant differences in growth rates between the three sites (ANCOVA, p = 0.419).
While controlling for background variables, analysis of covariance was used to test for potential interaction between support and monitoring across the adolescent variables.
Analysis of covariance was utilized to test four questions to investigate the effects of the creative movement program on gross motor skills.
Analyzing psychological data by structural analysis of covariance matrices.
We used analysis of covariance with litter size as a covariate to test the juvenile weight and length data.
One such alternative is provided by analysis of covariance structures (Aigner et at.
Least squares regression and analysis of covariance were used to compare slopes and elevations for bivariate comparisons between different groups.

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