Colaizzi's method of data analysis is an approach to interpreting qualitative research data, often in medicine and the social sciences, to identify meaningful information and organize it into themes or categories. The approach follows seven data analysis steps.Know More
Qualitative research uses surveys with open-ended questions or loosely structured interviews to uncover how people think and feel in certain situations, such as becoming a first-time father or undergoing chemotherapy. A researcher can apply Colaizzi's seven steps to analyze the data collected in a survey or interview.
In the first step, the researcher reads a description of each person participating in the study to gain a sense of the participants. Next, the researcher extracts statements with significance to the research question, such as descriptions of how a first-time father feels about caring for a newborn. To reflect the research data accurately, the significant statements should be direct quotations from the participants. To analyze the significant statements, the researcher begins to articulate what the statements mean and creates themes from the meanings. The researcher groups similar themes together and organizes them into categories. Finally, the researcher integrates the results into a comprehensive description of the topic and returns to each participant to verify the results.Learn more about Data Graphs
Horizontal analysis makes comparisons of numbers or amounts in time while vertical analysis involves displaying the numbers as percentages of a total in order to compare them. Both are useful financial analysis techniques that calculate relationships between figures in balance sheets and income statements.Full Answer >
The textual form of presenting data uses paragraph form to represent the information. This style of reporting is appropriate in academic reports as well as in scientific journals. The paper generally includes other representations of the data, such as charts or graphs, to better communicate with the reader.Full Answer >
The difference between graphs and charts is mainly in the way the data is compiled and the way it is represented. Graphs are usually focused on raw data and showing the trends and changes in that data over time. Charts are best used when data can be categorized or averaged to create more simplistic and easily consumed figures.Full Answer >
Applications of matrices include finding the area of a triangle, finding points, solving linear equations and cryptography of data. A matrix is simply a group of numbers, so its applications in the world of mathematics are widely variable.Full Answer >