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 ?
Analysis employing two-way mixed design ANCOVA shows that glycosylated hemoglobin (A1c) (F = 2.
Then, we constructed an adjusted statistical model using an ANCOVA model and calculated adj (Y) values.
79), we performed a 2 (social distance) x 2 (message description) ANCOVA, with cause involvement, prior attitude toward the cause, and product involvement as covariates.
Table 6: Descriptive data and ANCOVA of the post-test-1 score (Group-5)
According to Cohen's (1988) declaration, the ANCOVA results of the TCUG approach represented a moderate effect size ([[eta].
ANCOVA Analysis Mean [+ or -] SD Adjusted Mean Efficacy Analysis Baseline Control (n = 7) 669 [+ or -] 738 -- Loko-R (n = 8) 602 [+ or -] 570 -- Posttraining * Control (n = 5) 711[+ or -]864 645 Loko-R (n = 8) 397 [+ or -] 365 438 1 mo Follow-Up * Control (n = 5) 694 [+ or -] 859 629 Loko-R (n = 8) 385 [+ or -] 367 425 6 mo Follow-Up Control (n = 5) 679 [+ or -] 827 620 Loko-R (n = 7) 382[+ or -]393 424 Intent-to-Treat Analysis Posttraining * Control (n = 7) 652[+ or -]714 623 Loko-R (n = 8) 397 [+ or -] 365 423 1 mo Follow-Up * Control (n = 7) 635[+ or -]710 606 Loko-R (n = 8) 385 [+ or -] 367 411 6 mo Follow-Up * Control (n = 7) 624 [+ or -] 683 595 Loko-R (n = 8) 382 [+ or -] 364 406 ANCOVA Analysis F p-Value [[eta].
ANCOVA and chi-square tests were used for within group comparison before and after interventions.
Summary of statistical results for biomarkers A[beta]1-42 (a) ANCOVA group comparisons PiB- (n = 22) mean (95% Cl) 0.
Prior to conducting data analysis, the assumptions for an ANCOVA were examined.
Also applied was ANCOVA in order to discover any differences in post-test scores between the experimental and control groups.
A multilevel ANCOVA was used, with physician as random effect and the following fixed effects: age, gender, baseline value, severity score, social class and parents' expectation.