# 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.

## 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 ?
Cognitive and fatigue measures in multiple sclerosis patients grouped by whether or not subjects were taking medications with central nervous system (CNS) side effects (mean [+ or -] standard deviation and analysis of covariance results).
The value of analysis of covariance appears to be in accounting for differences at the site level.
The Analysis of Covariance indicated no significant differences between the slopes of the age-length relationship from YOY of Bahia de Todos Santos, Estero de Punta Banda, and Bahia de San Quintin (ANCOVA, p = 0.
The analysis of covariance for question three, regarding the stationary score on the PDMS-2 test, is summarized in Table 3.
This study makes use of analysis of covariance structures, an econometric methodology specifically designed to tackle the measurement error that surely contaminates the economic policy proxy.
Each predictor variable (ie, STAI, melatonin, cortisol) was contrasted among the three groups by performing analysis of covariance, controlling for age, and applying the familywise (ie, F test) Bonferroni correction for multiple comparisons of each predictor separately.
TABLE 1 Analysis of Covariance for Sufficiency Ratings (a) Panel A: Analysis of Covariance Source of Variation SS df F P Source 29.
10]-transformed data were described by least-squares linear regression and tested for differences between sexes within each coast and between coasts by analysis of covariance (ANCOVA).
A two-factor multivariate analysis of covariance (MANCOVA) was used to evaluate the effects of temperature and growth on metamorphic date and metamorphic mass.
Structural equation modeling (SEM) is another term for causal modeling, latent variable structural equation modeling, and analysis of covariance structures.
The package includes these topics: Some Introductory Comments on Spreadsheets and Some Review of Basic Statistics; Completely Randomized Designs and Randomized Block Designs; Linear and Polynomial Regression with Extension to Analysis of Covariance in Randomized Block Designs Using a Single Co-variable; Sampling and Components of Variance; Latin Square, Crossover, and Hierarchical (Nested) Designs; Factorial Treatment Structure; Split Plot and Strip Plot Designs; Combined Experiments; Incomplete Block Designs; and Augmented Designs.
These data were analyzed by a 2-way analysis of covariance with repeated measures on poststimulation periods using baseline IgG as the covariate.

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