Analysis

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Analysis

The practice of examining information to determine what conclusions it indicates,. The information observed in analysis depends on the type of analysis being conducted. For example, technical analysis uses statistics to determine future price movements of securities, while fundamental analysis looks at indicators of a company's intrinsic value. Analysis may involve qualitative or quantitative information, or both. Most forms of analysis have both strengths and weaknesses.
References in periodicals archive ?
Abbreviations: AED = antiepileptic drug, ANCOVA = analysis of covariance, CESD-10 = Center for Epidemiologic Studies Depression Scale 10-item short form, CNS = central nervous system, EDSS = Expanded Disability Status Scale, MANCOVA = multivariate analysis of covariance, MS = multiple sclerosis, OHSU = Oregon Health & Science University, PASAT = Paced Auditory Serial Addition Test, POMS = Profile of Mood States, RT = reaction time, SSRI = selective serotonin reuptake inhibitor, UFOV = useful field of view, WAIS[R]-III = Wechsler Adult Intelligence Scale[R]-Third Edition.
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.
Lengths were transformed to logarithms and an Analysis of Covariance to determine slope differences was employed.
Analysis of covariance (ANCOVA) was utilized to test questions one to four to determine whether significant differences existed in gross motor skills, object manipulation, stationary skills, and locomotion for preschool children between the two groups.
While controlling for background variables, analysis of covariance was used to test for potential interaction between support and monitoring across the adolescent variables.
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.
Analysis of covariance was used to compare the relationship of stress ratings to urinary cortisol and 6-SM levels among the women who became pregnant, t he women who did not, and the women who served as controls.
A 2 (threat) x 2 (efficacy) analysis of covariance (ANCOVA) method was performed to test the hypotheses.
Least squares regression and analysis of covariance were used to compare slopes and elevations for bivariate comparisons between different groups.
10) Analysis of covariance (ANCOVA) was used as the statistical method because auditors' frequency of using ratio analysis was not distributed evenly across the experimental cells, despite random assignment to treatment conditions.

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