Select the choice which best completes the statement, or answers the question, by clicking on the corresponding letter.
The aim of the process of qualitative data analysis is to:
Produce a complex statistical profile of the phenomenon under investigation.
Provide a description of that process.
Provide a skewed perspective on the phenomenon under investigation.
Accomplish a thick description of the phenomenon under investigation.
Qualitative researchers rather than objectively studying the real world:
Acknowledge and study multiple realities.
Believe that there is just one reality of which we are all part.
Refuse to engage in ontological debates.
Refuse to engage in epistemological debates.
Within qualitative data analysis the researcher and the role of the researcher are made evident:
In the obvious manner.
In a reflexive manner.
In a scholarly manner.
In a scientific manner.
Language is particularly important in qualitative data and qualitative data analysis as:
Statistics are not.
Numbers are not.
It is through the study and analysis of the language of participants that qualitative researchers conduct their research.
It is in all research.
Many of the data collection methods used in qualitative research produce data that is:
Language based.
Relevant only to the institution within which the research was carried out.
Based on mathematical principles.
Accessible only to senior academics.
In qualitative data analysis there are:
Two different approaches to the analysis of data.
Different approaches to the analysis of data, based on the needs and design of the study.
Three different approaches to the analysis of data.
No formal approaches to the analysis of data.
Qualitative data can be analysed thematically:
In terms of descriptive statistics.
In terms of inferential statistics.
In terms of discourses.
In terms of themes.
Qualitative data can be analysed using a phenomenological approach, if:
The researcher decides to do that.
The research supervisor advises that.
The research project has been developed using a phenomenological methodology.
The research project uncovers a strange phenomenon.
There are:
Two stages of data analysis.
Three stages of data analysis.
Four stages of data analysis.
Five stages of data analysis.
The second stage in data analysis is:
Description.
Interpretation.
Conclusion.
Theorisation.
In the theorisation stage:
The researcher learns the theoretical framework.
The researcher creates the theoretical framework.
The researcher looks back at the literature review to see if and how the findings of their study fit with or contradict the findings of the studies presented there.
The theoretical framework becomes the analytical framework.
The fourth and final framework in the four frameworks approach to the research project is:
The conceptual framework.
The theoretical framework.
The methodological framework.
The analytical framework.
The analytical framework for the study is informed by:
The conceptual framework.
The theoretical framework.
The methodological framework.
The three preceding frameworks, the conceptual framework, the theoretical framework, the methodological framework.
A grounded theory research methodology is used when:
The specific focus of the research project is on building theory from data.
The specific focus of the research project is on the study of signs in society.
The specific focus of the research project is on the study of the content of any text or texts.
The specific focus of the research project is on the study of images.
The key to the presentation of data is:
The story, the narrative, that the researcher is trying to tell to illustrate or explain the data.
To present the images first and then the text.
To present all of the figures and tables together and then the text.
To present all of the matrices together and then the text.