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Quantitative data analysis is a systematic process of both collecting and evaluating measurable. and verifiable data. It contains a statistical mechanism of assessing or analyzing quantitative data.

The 5 steps to doing qualitative data analysis Gathering and collecting your qualitative data. Organizing and connecting into your qualitative data. Coding your qualitative data. Analyzing the qualitative data for insights. Reporting on the insights derived from your analysis.

Qualitative data analysis is concerned with transforming raw data by searching, evaluating, recognising, coding, mapping, exploring and describing patterns, trends, themes and categories in the raw data, in order to interpret them and provide their underlying meanings.

Step of quantitative analysis process: Method selection. Sampling. Solution presentation. Sample pre treatment. Analytic measurement. Calculation of analytic result. Statistic evaluation of the result.

There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.

Qualitative data analysis is concerned with transforming raw data by searching, evaluating, recognising, coding, mapping, exploring and describing patterns, trends, themes and categories in the raw data, in order to interpret them and provide their underlying meanings.

The Clinical-qualitative Content Analysis technique comprises seven steps: 1) Editing material for analysis; 2) Floating reading; 3) Construction of the units of analysis; 4) Construction of codes of meaning; 5) General refining of the codes and the Construction of categories; 6) Discussion; 7) Validity.