Research

“Research Methodology”

 

 Research Problem

The main objective of the research is “To analysis the disruptive behaviour among secondary school students in Australia” (Oppong, 2013). In order to solve the problem in an effective manner, researcher proposed the research methodology which covers the data collection method, research design, sampling method, data analysis method, ethical consideration etc. It helps to accomplish the valid outcome of the research problem.

Proposed Research Methodology

Research Philosophy

In the views of Chen et al., (2011) research philosophy is the general view of the researcher which assists in achieving the depth understanding about the research problem. In this, there are three kinds of research philosophies exist such as positivism; interpretivism and realism method are used to analysis the data. Positivism method helps the researcher to determine the real facts and figures of the research issues in order to make good observations. This method is largely depending upon the natural sciences for getting the proper structure of the research problem. On the flip side, interpretivism philosophy assists the researcher to clearly understand the research problems with the development of theoretical knowledge about the subject matter. While realism philosophy is based on the human perception, actuality of the existing environment as on that basis, researcher develops their viewpoint about the research problem.

In context to this study, positivism philosophy is best suited for analysing the research problem. It is because this philosophy helps the researcher to find the clear understanding about the topic and analysis the facts in an appropriate manner. However, it would help in properly analysing the reason behind the disruptive behaviour of secondary students in the Australia schools (Leitch et al., 2010). At the same time, it will also help the researcher to predict the ways for making students behaviour effective. But in contrast, the researcher wouldn’t choose the other two methods such as interpretivism and realism philosophy. It is because interpretivism based on the new theory but in this problem, there is no need to develop the new theories. In case of realism, researcher wouldn’t need to involve the thought of the existing environment for solving the research problem. That’s why researcher would prefer to use the positivism over the other philosophies.

Data collection method

According to Rhodes et al., (2014) data collection is the organized process for gathering and evaluating the information which is collected from different sources such as internet, journals, books etc. this method will prove to be useful for the researcher in terms to achieve the researcher solution of the problems. For this, researcher would use the two types which are primary and secondary data collection method. Secondary data collection method provides support to the researcher through use the books, journals and websites etc. Besides that, primary data collection method would support the researcher through observation, survey with questionnaires, case study etc. Generally, researcher used this method largely in their research study due it enhances research effectiveness and generate valid result. For this research study, the primary method is well suited for the researcher. In regards to this, survey will conduct through questionnaires in which sample size is 80. Other than that, questionnaires will prepare for the students with the aim to identify the reason behind of their behaviour pattern in their school (Griffiths, 2010). From this method, researcher could able to collect the relevant information that would give the authentic research outcome. Moreover, researcher for achieving the deep knowledge about the disruptive behaviour of students, in such case they would also use the books, journals and articles etc. The cause of using both the method under this study is to study the observation and perception of the respondent or generate the theoretical understanding about the student behaviour through books. Thus, due to this reason researcher will select the primary method and the secondary method.

Research Design

According to Creswell (2013) research design purpose is to develop the plan of research study in which there is accurate assessment of cause and effects relationship between independent and dependent variables. In addition to this, there are two types of research design are used by the researcher such as quantitative and qualitative and mixed method. Quantitative method focuses more on the statistical, mathematical or numerical forms to analysis the collected data. While qualitative research is focusing more on the thought and opinions for the research problem (Mitchell & Jolley, 2012). This research includes the focus participation and observation for analysing the data and the combination of both the methods are considered as a mixed method. But in context to study the Australia children behaviour, the researcher would use the quantitative method. It is because researcher will use the survey to collect the information related to the main cause of the distractive behaviour of the Australian students in the school. Hence in this case, quantitative method is appropriate in terms to generate the valid result.

Research

Sampling Method

Sampling method is essential part of the research study as it helps the researcher to get the relevant data for reaching towards the valid outcome. In addition to this, sampling method includes two types of method such as random/ probability sampling method and non-random sampling method (Levy & Lemeshow, 2013). Probability sampling method is widely used by the researcher due to it gives equal chances to every respondent to get selected and become a part of the research study. Whereas non-probability sampling select the respondent for the questionnaires based on the subjective judgement rather than selecting randomly. Thus, this method is generally used in the case when technical research study is conducted and in which respondent need to be the technicians as they only have sufficinet knowledge about the subject matter. At the same time, the non-probability method is also use by the researcher when there is limited budget, time and workforce exist in that case it is well suited for the study to arrive at the right solution. Thus, researcher selects the method as per the study requirements.

In context to this, researcher could use the random-sampling instead of non-probability sampling method (Wang et al., 2012). The random-sampling method would be conducted with the help of survey through using the questionnaires. It would contribute to the study related to analysing the Australia student’s disruptive behaviours in the school. Through this method, researcher could able to develop clear understanding about the cause of the student disruptive behaviours. It could be a stress, overburden in school or parents pressure etc. thus, this method will prove to be most suitable for this research problem. In a similar manner, researcher won’t be use the non-random sampling method because it is find that there is high chances of biasness exist which have a direct influences over the research outcome. That’s why researcher would use the primary method over the secondary method.  At the same time, Australia students are targeted as a sample size in order to find out the reason of maximum occurring of disruptive behaviour among the Australia students as compare to other countries students.

Data Analysis

Data analysis considered to be vital part for the research study as it covert the data into the valuable information form that would be helpful for the researcher in terms to arrive at the valid research outcome (Anderberg, 2014). Basically, Data analysis is use by the researcher to evaluate the all collected data with the aim to create the facts into the information. In addition to this, there are various types of data analysis use by the researchers in their research study. These are the content analysis, statistical, factor and cluster analysis etc use as per the research issue and requirements. In this study, the researcher will use the cluster method because the survey will use through questionnaires so in this regards will present the findings in the table and graph format. Thus, because of this reason the cluster analysis would use by the researcher in order to identified the cause of the disruptive behaviour of the Australia students. Furthermore, Cluster analysis also allows in making group of the sample size in order to find the relevant solution of the problem and it also help the researcher to make the questionnaires appropriately by covering all the information (Washington et al., 2010). Cluster analysis also presents the data in the tables and graphs format which allows the reader to interpret correctly and reach towards the final result in a relevant manner.

Research

Ethical Consideration

For achieving the research in a successful way then there is largely need to consider ethical issues by the researcher. In regards to this primary study, the ethical issues which address is not disclose the personal information of the students to anyone. Otherwise, it directly influences the individual life as person personal information can be use for the false purpose. Thus, this is because it consider as an unethical (Ponterotto, 2010). At the same time, proper sourcing of the collected secondary data is considered as an ethical. Besides that, copyright, plagiarism etc are considered as a secondary data ethical issues. In order to overcome from such issues, there is need to write the interpretation or content of the file in the own language so that chances of copying is less in the research report. Moreover, through citing the references into the content properly also help the researcher to avoid the ethical issue.

Furthermore, in the survey method, it is unethical if the researcher put the participants in a situation where they might at a risk of harm from the participation (Kosinski et al., 2015). So in this regards, it is need to follow the ethical standards which could be applied with the purpose to protect the privacy of the participation.

 References

Anderberg, M. R. (2014) Cluster analysis for applications: probability and mathematical statistics: a series of monographs and textbooks (Vol. 19). USA: Academic press.

Chen, Y. Y., Shek, D. T., & Bu, F. F. (2011) Applications of interpretive and constructionist research methods in adolescent research: philosophy, principles and examples. International journal of adolescent medicine and health, 23(2), pp. 129-139.

Creswell, J. W. (2013) Research design: Qualitative, quantitative, and mixed methods approaches. USA: Sage publications.

Griffiths, M. D. (2010) The use of online methodologies in data collection for gambling and gaming addictions. International Journal of Mental Health and Addiction, 8(1), pp. 8-20.

Kosinski, M., Matz, S. C., Gosling, S. D., Popov, V., & Stillwell, D. (2015) Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines. American Psychologist, 70(6), pp. 543.

Leitch, C. M., Hill, F. M., & Harrison, R. T. (2010) The philosophy and practice of interpretivist research in entrepreneurship: Quality, validation, and trust. Organizational Research Methods, 13(1), pp. 67-84.

Levy, P. S., & Lemeshow, S. (2013) Sampling of populations: methods and applications. USA: John Wiley & Sons.

Mitchell, M. L., & Jolley, J. M. (2012) Research design explained. USA: Cengage Learning.

Oppong, S. H. (2013) The problem of sampling in qualitative research. Asian journal of management sciences and education, 2(2), pp. 202-210.

Ponterotto, J. G. (2010) Qualitative research in multicultural psychology: Philosophical underpinnings, popular approaches, and ethical considerations. Cultural Diversity and Ethnic Minority Psychology, 16(4), pp. 581.

Rhodes, J. D., Upshaw, C. R., Harris, C. B., Meehan, C. M., Walling, D. A., Navrátil, P. A., … & Kumar, H. (2014) Experimental and data collection methods for a large-scale smart grid deployment: Methods and first results. Energy, 65, pp. 462-471.

Wang, J., Liu, Z., Chorowski, J., Chen, Z., & Wu, Y. (2012) Robust 3d action recognition with random occupancy patterns. In Computer vision–ECCV 2012 pp. 872-885. Springer, Berlin, Heidelberg.

Washington, S. P., Karlaftis, M. G., & Mannering, F. (2010) Statistical and econometric methods for transportation data analysis. USA: CRC press.

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