# ANCOVA

(redirected from Analysis of covariance)
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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 ?
Nutrient dosing and depth, but not temperature, had a significant effect for TP in the analysis of covariance (Table 3).
An analysis of covariance (ANCOVA) conducted on participants' responses based on reading the treatment plans with the counseling types [CounsType] as the independent variable, and the respondents' prior counseling experiences [Couns4Difficulties, PastorCouns, PastorHelp] as covariates, after adjusting for the covariate of prior counseling experience, revealed that the response to the treatment plans did not vary significantly with the counseling types (F(4, 59) = 1.
dagger]) In analysis of covariance, significantly different from those who immigrated at age [greater than or equal to] 6 at p<.
We used multivariate analysis of covariance (MANCOVA) to examine differences in Yellow-bellied Sapsucker behavior between males and females, among diurnal periods, among 6-week sampling periods, between study sites, and between years.
Descriptive statistics were compiled and examined and an analysis of covariance test was performed.
We computed analysis of covariance (fellowship being a categorical independent variable) with non-musculoskeletal sports medicine items as the dependent variable.
An analysis of covariance (ANCOVA) was used to compare growth rates between treatments, with marker, concentration and time exposition as factors and SL as the covariate.
Second, to replicate these analyses using the Total Scale, we performed a 4 (race/ethnicity) x 2 (sex) factorial analysis of covariance, with the MRNI-R Total Scale as the dependent variable and the demographic variable that was correlated with the MRNI-R Total Scale (years of education) serving as the covariate.
Results of multivariate analysis of covariance (MANCOVA) controlling for custody status, counselling status and history, and psychiatric history showed that young black males citing a high frequency of negative social contextual experiences reported significantly greater cultural mistrust of mental health professionals and significantly less positive attitudes toward seeking professional help for mental health problems than young black males reporting a low frequency of negative social contextual experiences.
With the use of an analysis of covariance, with pretest scores used as the covariate, the achievement improvements were statistically significant.
Differences among patients who initiated therapy with olanzapine, quetiapine, or risperidone were examined using analysis of covariance (ANCOVA), controlling for age, gender, region, and type of mental illness diagnosis.

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