Search results
Results from the WOW.Com Content Network
The most important distinction between the initial data analysis phase and the main analysis phase, is that during initial data analysis one refrains from any analysis that is aimed at answering the original research question. [109] The initial data analysis phase is guided by the following four questions: [110]
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data." [3]
Data collection; Verifying data; Analyzing and interpreting the data; Reporting and evaluating research; Communicating the research findings and, possibly, recommendations; The steps generally represent the overall process; however, they should be viewed as an ever-changing iterative process rather than a fixed set of steps. [33]
Accurate analysis of data using standardized statistical methods in scientific studies is critical to determining the validity of empirical research. Statistical formulas such as regression, uncertainty coefficient, t-test, chi square, and various types of ANOVA (analyses of variance) are fundamental to forming logical, valid conclusions.
Exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
Quantitative research is generally closely affiliated with ideas from 'the scientific method', which can include: The generation of models, theories and hypotheses; The development of instruments and methods for measurement; Experimental control and manipulation of variables; Collection of empirical data; Modeling and analysis of data
"Use of data requires knowledge about the different sources of uncertainty. Measurement is a process. Is the system of measurement stable or unstable? Use of data requires also understanding of the distinction between enumerative studies and analytic problems." "The interpretation of results of a test or experiment is something else.
Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology. For example, content analysis has been applied to research on such diverse aspects of human life as changes in perceptions of race over time, [35] the lifestyles of contractors, [36] and even reviews of automobiles ...