What is meant by triangulation of data in social research? select all that apply.
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Question 1What is the name of one of the arguments that suggests that research methods are inextricably linked to epistemological commitments? a) Triangulation argument b) Postmodern argument c) Embedded methods argument d) Positivist argument Question 2Which version of the debate about multi-strategy research suggests that quantitative and qualitative research is compatible? a) Technical version b) Methodological version c) Epistemological version d) Feminist version Question 3What is triangulation? a) Using three quantitative or three qualitative methods in a project b) Cross-checking the results found by different research strategies c) Allowing theoretical concepts to emerge from the data d) Drawing a triangular diagram to represent the relations between three concepts Question 4How might qualitative research facilitate quantitative research? a) By providing hypotheses that can later be tested b) By helping with the design of survey questions c) By informing the schedule of a structured interview d) All of the above Question 5How might quantitative research facilitate qualitative research? a) By identifying specific groups of people to be interviewed b) By showing the frequency of different responses to a survey item c) By imposing a rigorous positivist framework on it d) By combining laboratory experiments with structured observation Question 6Whereas quantitative research tends to bring out a static picture of social life, qualitative research depicts it as a) Symmetrical b) Statistical c) Processual d) Proverbial Question 7How might qualitative research help with the analysis of quantitative data? a) By identifying a sample of respondents for a follow-up study b) By providing hard, statistical data about them c) By making the research more value-laden and subjective d) By helping to explain the relationship between two variables Question 8How can multi-strategy research help us to study different aspects of a phenomenon? a) By reducing the standard deviation of scores around the mean b) By allowing the researcher to interview first women, and then men c) By revealing both the macro and the micro level d) By making it unnecessary to have more than one stage in the research process Question 9When might unplanned multi-stage research be described as a "salvage operation"? a) When the researcher abandons their original strategy and starts all over again b) When the second research strategy is used to explain unexpected or puzzling results c) When there is a paradigm shift from quantitative to qualitative research d) When it is ethically unsound to use only one research strategy Question 10Which of the following is not a feature of multi-strategy research? a) It is inherently superior to mono-strategy research b) It must be competently designed and conducted c) It must be appropriate to the research questions d) The skills of all researchers must be well integrated What is triangulation discuss its use in social science research?In social science triangulation is defined as the mixing of data or methods so that diverse viewpoints or standpoints cast light upon a topic. The mixing of data types, known as data triangulation, is often thought to help in validating the claims that might arise from an initial pilot study.
Which of the following is not an example of triangulation?Which of the following is not an example of triangulation? Taking results of a study back to the participants and asking for their feedback (this establishes the credibility of findings, but isn't triangulation; doesn't have to be 3 either).
What is triangulation in market research?The term triangulation refers to the practice of using multiple sources of data or multiple approaches to analyzing data to enhance the credibility of a research study.
What is methodological triangulation in qualitative research?Background: Methodological triangulation involves using more than one kind of method to study a phenomenon. It has been found to be beneficial in providing confirmation of findings, more comprehensive data, increased validity and enhanced understanding of studied phenomena.
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