Qualitative Doctoral Business Research Role of Theory Essay

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Running Head: QUALITATIVE DOCTORAL BUSINESS RESEARCH ANALYSIS 1
QUALITATIVE DOCTORAL BUSINESS RESEARCH ANALYSIS 5

Analysis Role of Theory in Context of Qualitative Doctoral Business Research
Introduction
Models and theories produce the basis upon which empirical inquiries are built. Empirical research is not only concerned with data variations (with respect to what is going on in the globe) but also with testing whether such data is in conformity with the theory or model (Creswell & Plano Clark, 2007). It is also our intention to progress existing theories or even come up with new ones on the basis of existing ones and on the basis of freshly acquired empirical evidence. Generally two strategies for carrying out quantitative research exist. The first strategy involves formulation of hypotheses by researchers based on previous research information and testing those hypotheses against available empirical data through a process called confirmatory research. Confirmatory research is used to either reject or confirm a hypothesis. The second strategy which is possibly supplementary is the exploratory research. By explaining what exploration is we understand exploratory research. Exploration is some adventure into data (Creswell & Plano Clark, 2007). Exploratory research begins with data and goes on to explore with a view of formulating a hypothesis and theorizing the data on the basis of knowledge gathered from the data. This discourse evaluates the application of ethnography in quantitative research as a theory useful in comprehending business problems.
The central role of the ethnography theory in deductive reasoning in quantitative business research
Quantitative research can be interpreted as the application of statistical analysis in establishing relationship between the known and what the research can teach us. The collection and analysis of data through quantitative strategies demands some comprehension of the connection between variables by use of inferential or descriptive statistics (Bleske-Rechek, Morrison & Heidtke, 2015).

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Ethnography theory is strongly relied upon by descriptive statistics. The descriptive statistics are utilized in drawing inferences concerning populations and in the estimation of parameters of such populations (Creswell & Plano Clark, 2007). Descriptive statistics are the basis upon which inferential statistics are built as well as the assumptions generalizing population from a sample selection. Through the application of ethnography theory research can interact with targeted population and retrieve fundamental information which can be studies for valuable results. Quantitative analysis can be used to come up with visual representations for data through the use of charts, tables, plots and graphs (Coogan, 2015). Researchers applying quantitative analysis can draw conclusions from argument, evidence and logic. Raw data interpretation should be directed by general guidelines for the evaluation of assertions and claims made and the assessment of the soundness of instruments used. Quantitative analysis will also apply protocols to anticipate or control existing threats to the validity of outcomes (Coogan, 2015).
Research intention is quite important for every research in business quantitative research. Ethnography theory characteristically illustrates the research intention in a way that satisfies the purpose of the research statement or the leading goals (Bleske-Rechek, Morrison & Heidtke, 2015). Through quantitative research intent is used for testing theories and deductive evidence searching for the purpose of supporting….....

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References
Bleske-Rechek, A., Morrison, K. M., & Heidtke, L. D. (2015). Causal inference from descriptions of experimental and non-experimental research: Public understanding of correlation-versus-causation. Journal of General Psychology, 142(1), 4870. doi:10.1080/00221309.2014.977216
Creswell, J.W., & Plano Clark, V.L. (2007). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage Publications
Coogan, L. L. (2015). Teaching across courses: Using the concept of related markets from economics to explain statistics causation and correlations. B>Quest, 110. Retrieved from http://www.westga.edu/~bquest/

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