Data Analysis Assignment Help | Data Science and Big Data Analytics

Data Analysis Assignment Help | Data Science and Big Data Analytics

Data Analysis Assignment Help per the view of Aino, et al. (2013), there are three basic types of the data analysis method, they are quantitative data analysis, qualitative data analysis, and the mixed data analysis. As both the primary and secondary data Data Analysis Assignment Help | Data Science and Big Data Analyticshave been collected from the ten different wide range of articles, then both the qualitative data analysis and quantitative data analysis have been taken and proved as justified  to reflect the in depth analysis in an effective manner.

Reliability of Instrument

The ten articles used in the research are the most valid written by the different valid authors those supported the educational purpose previously in an effective manner. Thus, the reliability of the instrument for the collection of the data was justified. At the same time, the reliability of the instrument for the data analysis also was valid in terms of the usage of the qualitative data analysis for the in depth analysis in a broader manner with the help of the wide range of data (Aino, et al., 2013).

Results

The results obtained from the ten used articles determine the fact that the objectives of the research have been met by the researchers in an effective manner. From the aspect of the determination of the data collection in the form of the survey, interview, telephone interview, web based survey, self-administered questionnaire has been mentioned in the below table:
Table number.Title?

Slno       Method used   Number of articles

using the method

1.

2.

3.

4.

5.

6.

7.

Interview

Questionnaire

Online survey

Case study analysis

Web/Internet based survey

Self-administered questionnaire

Content analysis

1

2

 3

 2

 0

 1

  1

More or less all the research outcomes of the individual articles have met the objectives set for the individual articles in an effective manner.

Conclusion

From the entire discussion, it can be stated that the used ten articles strongly supported the data collection with the wide range of data to get the in depth view of the study topic in an effective manner. Both the qualitative and the quantitative data have been collected but the data has been analysed with the help of the qualitative data analysis method purposefully. Further, the fact also is required to be mentioned that the reliability in the measurements of the instruments used in the data collection and the data analysis were justified. Therefore, in a nutshell, it can be stated that the research methodology developed as the per research topic and the research questions is the most justified one so that the reader of the research will be able to understand the systematic progress of the research in an effective manner.

References

Aino, K., Tatiana, A. & Yaroslav, P., 2013. The impact of intellectual capital management on company competitiveness and financial performance. Knowledge Management Research & Practice, Volume 11, p. 112–122.

Bill, M., Maria, P., Patricio, M. & Miguel, R., 2013. Towards an econophysics view of intellectual capital dynamics: from self-organized criticality to the stochastic frontier. Knowledge Management Research & Practice, Volume 11, p. 142–161.

Bradley, W., Lepora, M. & Tamika, B., 2004. Quantitative reserach measurement in Public Adinistration. Quantitative research measurement in public administration: An assessment of journal publications, 35(6), p. 747.

Clark, V. & Ivankova, N., 2015. Mixed Methods Research: A Guide to the Field. London: SAGE Publications.

Constantin, B. & Ivona, O., 2013. The entropic intellectual capital model. Knowledge Management Research & Practice, Volume 11, p. 133–141.

Daniel, G. & Ahmed, B., 2013. Monitoring intellectual capital: a case study of a large company during the recent economic crisis. Knowledge Management Research & Practice, Volume 11, p. 196–207.

Enrique, C., Hipo´ lito, M. & Patrocinio, Z., 2013. Intellectual capital model for family firms. Knowledge Management Research & Practice, Volume 11, p. 184–195.

Flick, U., 2015. Introducing research methodology: A beginner’s guide to doing a research project. London: Sage.

Gregorio, M., Miriam, D., Javier, A. & Jos, E., 2013. Linking human, technological, and relational assets to technological innovation: exploring a new approach. Knowledge Management Research & Practice, Volume 11, p. 123–132.

Jose, M. & Salmadon, P., 2013. Strategic management of intellectual capital in firms: attempting to bridge the gap between theory and practice. Knowledge Management Research & Practice, Volume 11, p. 99–100.

Kelly, B., Allan, C. & Go¨ran, R., 2013. An empirical analysis of the IC Navigator approach in practice – a case study of five manufacturing firms. Knowledge Management Research & Practice, Volume 11, p. 162–174.

Mackey, A. & Gass, S., 2015. Second language research: Methodology and design. London: Routledge.

Markus, W. & Kai, M., 2013. Strategy development based on intangibles in SMEs – an integrated approach. Knowledge Management Research & Practice, Volume 11, p. 175–183.

Spender, J., Paulina, B., Andreea, B. & Sarah, R., 2013. Intangibles: theory, categories, and the Kozminski matrix. Knowledge Management Research & Practice, Volume 11, p. 101–111.

Data Analysis Assignment Help | Data Science and Big Data Analytics

Summary:

The quantitative research methods derived from the natural sciences that emphasize the distinction between quantitative and qualitative research methods in organization. This paper attempts to contrast the two different research approaches — quantitative modes of research approaches and to encourage the further development of the qualitative. Two modes of research approach all research methods embody a variety of epistemological assumptions regarding the quantitative and qualitative research methods are based upon different ontological differences between the quantitative and qualitative research approaches. To discuss the paradigms of quantitative and qualitative research approaches we have research, starting from the assumption that organizations and behavior in organisations which the researcher as a human being has arbitrarily imposed a personal frame of reference on the world, which is mistakenly perceived as lying in an external and separate The research of human behavior in the language of organizational behavior research becomes the language of variables. Researcher’s values, assumptions, interests, and purposes shape which methods or techniques distinctively human process through which researchers make knowledge. Rather than the social structures that are often the focus of quantitative researchers. Moreover, no matter what the topic of study, qualitative researchers in contrast to their Therefore, the qualitative researchers recognize and believe that the research process itself One cannot abandon one’s own humanity in the research process. researcher to maintain a discreet distance between himself/herself and the object of study, multivariate statistical analysis, researchers are in effect attempting to freeze the social Many people in our field, including quantitative and qualitative researchers, have into the world to investigate from within the subject of study and to employ research The different research approaches are like “holography”, presenting reality researcher, and how the researcher chooses to use them. We can view different research approaches as but different “voices” in a conversation a bit more appreciation for the diversity of different research approaches. Over the suitability of natural science models and approaches to the study of human the different approaches in research. (K, 1992)
References
K, J. L. (1992). Quantitave versus  Qualitative research methods – Two approaches to organisation studies. ASIA PACIFIC JOURNAL OF MANAGEMENT , VOL 9, NO 1:87-94 .Order Now

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