Types of data analysis methods in quantitative research

It simply involves the skilled ordering of the findings into descriptive categories or themes around which most or all of the main elements of the data results can be presented. Thematic analysis is one of the most popular types of qualitative analysis. Frequent and regular references to information sources typify descriptive analysis. The analysis often takes into account the context in which the data were produced, who produced it and under what circumstances. It is concerned with the вЂњwhat isвЂќ as opposed to the вЂњwhyвЂќ and involves drawing conclusions, discerning patterns and assessing the meaning and implications of the data/information.ДЄfter carefully observing a social science-related phenomenon or вЂњtextвЂќ or вЂњbody of knowledge,вЂќ a plausible, well-reasoned, descriptive account of the various meanings or interpretations of the data is produced. DescriptiveДescriptive analysis is the chameleon of research analysis: it can take on many forms, from descriptive statistical graphic displays and number summaries to involved interpretive accounts.

A typical example of a senseless (spurious) correlation is the strong association between ice cream sales and drowning deaths another variable, hot temperatures, is actually impacting the association between ice cream sales and drowning deaths. Any set of values could be shown to strongly associate with another set of values, regardless of the senseless nature of the association. Linear regression analysis can be used to make short-range predictions, but the associations are only as strong as the arguments demonstrating their supposed relationship. Correlation/regressionД¬orrelation measures the association between variables, usually as a numeric value signifying the degree to which changes in the values of a dependent variable (Y) increase or decrease in parallel with changes in the values of an independent variable (X).

A t-test is a typical example of inferential analysis. Inferential includes more complex calculations of statistical significance usually associated with probability-based analysis. Descriptive includes simple calculations of central tendency (mean, median and mode), spread (quartile ranges, standard deviation and variance) and frequency distributions displayed in graphs. Test of statistical inferenceДescriptive and inferential are the two general types of statistical analyses in quantitative research.

Or if you are intending to do a case study on an e-business, you may needВ descriptive,В thematicВ andВ narrativeВ analyses. For instance, if you want to run an involved survey questionnaire with a representative sample, you may want to selectВ test of statistical inference, correlation or regressionВ andВ descriptive statisticsВ as your types of analyses. For instance, if you chose field research, you will most likely be drawn to narrative analysis.В Multiple types of analysis may be required. Listed here are a few of the more obvious choices for analysis.Д¬hoices for data analysis are circumscribed by Decision Board 2 selections.

Types of data analysis methods in quantitative research