Research Project Flashcards
Is the process by which researchers transform a mass of data into actionable insights. These are numerous data analysis Techniques available, depending on the tyle of research
Data analysis methods
The researcher stays close to the statistical findings without drawing broader implications or meaning from them. Further, this section included summary of data rather than the raw data.
Reporting the results
This is one of the most frequently used techniques for analyzing qualitative data. It is used to analyzed Data that has been recorded in the form of texts, media, or even physical objects. Used to examine interviewee responses
Content Analysis
This technique is used to analyze content from a variety of sources, including respondents interviews, field observation,and survey. Stories and experience
Narrative Analysis
This is a more sophisticated technique that entails several stages including familiarization, identification of a thematic framework, coding, charting, mopping, and interpretation
Framework analysis
Is used to examine human interactions. It focuses on analyzing the social context in which the researcher and respondents communicated
Discourse Analysis
This is a term that refers to the use of qualitative data to explain why a particular phenomenon occurred.
Grounded theory
The first stage of analyzing data is ___
Where the aim is to convert raw data into something meaningful and readable
Data preparation
The purpose of this is to findi out, as far as possible, whether the data collection was done as per the pre set standards and without any bias.
Data Validation
To infer whether each respondents Was actually interviewed or not.
Fraud
To make sure that respondents was chosen as per the research criteria.
Screening
To check whether the data collection procedure was duly followed
Procedure
To ensure that the interviewer asked the respondents all the questions rather than just a few required ones.
Completeness
Large data sets include errors.
Step 2: Data editing
The most important steps in data preparation. It refers to grouping and assigning values to responses from the survey
Step 3: Data Coding