Analysis

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Related to correlational analysis: factor analysis

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 ?
Correlational analysis indicates that four out of those five items are strongly (and positively) correlated and one of the five items is moderately correlated.
Correlational analysis in our study revealed that there is significant relationship in General self-efficacy beliefs (GSEB) and burnout in traffic wardens.
Correlational analysis revealed that significant negative relationships existed between humor-others and physical self-concept at Time 2 only.
In the canonical correlational analysis, we observed in the girls that the variable with the greatest weight in the set of sexist variables was hostile sexism.
Consistent with other variables, results from the correlational analysis for the variable of language background shows a negative trend line, indicating that the number of unique users decreased over time for both EL1 (r = -.
Finally the results of the general culture and information systems management abilities of the organizations were presented, followed by a description of a correlational analysis.
CG-EGA provides accuracy details beyond other methods of evaluation, including correlational analysis and the original EGA.
A correlational analysis was conducted between final grades and MSLQ factors for all students.
The correlational analysis demonstrated that the temperament dimension of sociability was also associated with the three adaptation indicators, which is in conformity with the literature regarding resilience, according to which sociable temperament is a protective factor against risk situations (Kimchi & Schaffner, 1990 cited in Sharp & Cowie, 1998).
Descriptive analysis occurred first, followed by correlational analysis to determine the relationship among the four criteria measures of achievement (dependent measures) and to verify the appropriateness of conducting MANOVA.
In this group of students, it was also found in both the correlational analysis and the multiple linear regression analysis that two design characteristics emerged as significant: Objectives and Problem Solving.
Analysis of variance (ANOVA) and bivariate correlational analysis (Pearson's r) were used to determine the possible relationship between dental hygiene student learning styles and online course achievement.