Analysis

(redirected from Analysis of covariance)
Also found in: Dictionary, Thesaurus, Medical, Legal, Acronyms, Encyclopedia, Wikipedia.

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 ?
The third hypothesis analysis of covariance (ANCOVA) was performed after assuring that all needed pre-assumptions are there; summary of this analysis is shown in table 4.
However, analysis of covariance continued to show that testing frequency had a highly significant negative effect on the HbA1c in this study (p=0.
The results of table 1 show that error variance in all dependent variables in independent variable level is homogeny and we can use the method of multivariate analysis of covariance to assess this question.
Abbreviations: ANCOVA = analysis of covariance, BPI = Brief Pain Inventory, ESCAPE = Evaluation of Stepped Care for Chronic Pain (study), GAD-7 = Generalized Anxiety Disorder, GCPS = Graded Chronic Pain Scale, OEF = Operation Enduring Freedom, OIF = Operation Iraqi Freedom, OND = Operation New Dawn, PCL = Posttraumatic Stress Disorder Checklist, PCL-C = Posttraumatic Stress Disorder Checklist-Civilian, PC-PTSD = Primary Care PTSD screen, PCS = Pain Catastrophizing Scale, PHQ-9 = Patient Health Questionnaire, PTSD = posttraumatic stress disorder, SD = standard deviation, VA = Department of Veterans Affairs.
To test for sexual size-dimorphism, we compared snout-vent length of adult males and females using an analysis of variance and we used analysis of covariance with [log.
Analysis of covariance (ANCOVA) was used to compare treatment groups by race by PTSD scores.
GRAND MEANS (+SE) OF ABIOTIC AND BIOTIC VARIABLES IN FLORIDA AND LOUISIANA ALONG WITH ANALYSIS OF COVARIANCE TESTS FOR THE EFFECTS OF STATE AND YEAR (1).
Subsequent chapters address completely randomized design, multiple comparison tests, trend analysis, among other topics, ending with chapters on split-plot factorial design, analysis of covariance, Latin square and related designs, confounded factorial designs, and fractional factorial designs.
Changes in breast density were assessed using an analysis of covariance (ANCOVA) model.
Increases in seroprevalence according to community and year of survey were tested by using analysis of covariance.
To examine if the expectations of a positive outcome based on reading the treatment plan would differ by counseling type among respondents when controlling for the respondent's prior experience with counseling, an analysis of covariance (ANCOVA) with the counseling types [Counstype] as the independent variable and the respondents' prior counseling experiences (Prior counseling for difficulties [Couns4Difficulties], Prior counseling from pastors [PastorCouns], and How helpful was pastors help [PastorHelp]) as covariates suggests prior counseling experience did not vary significantly with the counseling types (F(4, 58) = 0.

Full browser ?