Chapter 4: Presentation, analysis, and interpretation of data

analysis
interpretation
supporting literature

3 parts under results and discussion

- textual
- tabular
- graphical

methods of data presentation

- correct any spelling or other errors
- anonymize the transcript
- insert notations for pauses, laughters, looks of discomfort
- insert any punctuation, such as commas and full stops ( periods)

checking

coding

refers to the identification of topics, issues, similarities, and differences that are revealed through the participant's narratives and interpreted by the researcher.

- introduction to findings
- data presentation
- data analysis
- results interpretation

Parts of chapter 4

data presentation

this refers to the organization of data into tables, graphs or charts, so that logical and statistical conclusions can be derived from the collected measurements

data analysis

is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making.

data analysis

the process of examining and interpreting qualitative data to understand what it represents

data analysis

application of content/thematic analysis

transcribing

translation between forms of data. conversion of recorded or observed speech into written text.

theming

refers to the drawing together of codes from one or more transcripts and present the
findings of qualitative research in a coherent and meaningful way.

themes

are abstract and subtle expressions/ patterns/ processes that explain a
phenomenon

data interpretation

is the process of reviewing data and arriving at relevant conclusions using various analytical
research methods.