<<

GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 33

GSJ: Volume 8, Issue 5, May 2020, Online: ISSN 2320-9186 www.globalscientificjournal.com and : A of Research in Kirongo A. Chege. & Odoyo C. Otieno* Department of Masinde Muliro of & Technology

Email: [email protected], [email protected]*

ABSTRACT understanding” [1]. Research process can be described as a systematic and organized effort to Researchers and post-graduate students most of the investigate a specific problem that needs a solution or time have a challenge differentiating between an answer [2]. Research methods refers to the ways in research , and research which research studies are designed and the methodologies. This paper therefore focuses procedures by which are analyzed. Research conducting a systematic review to bring forth clarity skills are the abilities of an investigator through on the differences between; research philosophy, “acquiring and a way of thinking” to research design, research methodologies and research carefully define a problem of interest, identifying key paradigms in Information Technology research. The variables, seeking out relevant information, and paper also highlight on the hallmarks of scientific subjecting proposed solution to rigorous testing [3]. research, fundamental of scientific research, elements The aim of research is to explore, explain, evaluate, of research design as well as data techniques. predict, understand, solve and develop or test The paper observes research philosophy, design and [4]. and implications in Information Technology literature. This paper contributes to the There exist two main types of research namely exploration and identification of qualitative and applied research [5] aimed at a specific research quantitative methodologies, style, question, and fundamental research [6] aimed at the size for different Information Technology . generation of knowledge relevant to industries, The authors used to review works organizations and researchers. Other types of research done by other to draw conclusions. The are; Descriptive, focusing on describing relationships paper would greatly improve the quality of research [7], Explanatory, used as a first step [8], work by the junior researchers, or post-graduate testing/building, test of a theory [9], students who are still developing their research skills. Comparative - search for similarities/differences, Longitudinal - over a long period of time, Action Keywords: Research Philosophy, Research Design, research - fact finding and improvement and Research Methodology, Research , Participatory - researcher is a participant [5]. Information Technology Research can be classified as either quantitative or qualitative. [10]; deals with 1. INTRODUCTION numbers, hard facts, statistics, with a positivist world view that is hypothetico-deductive [12]. Qualitative 1.1. Background of this study research [11] deals with soft facts, , exploratory and descriptive with a relativism view of Research can be defined as “an original investigation the word. The hypothetico-deductive approach [12] undertaken in order to gain new knowledge and

GSJ© 2020 www.globalscientificjournal.com GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 34

involves observation, preliminary information research begins, analysis takes place after research gathering, theory formulation, hypothesizing, has taken place and employs inductive scientific data and deduction. generalizations. Qualitative approach is inductive, begins from reality, data generation, analysis and theory are concurrent and employs exemplar or 1.2. Hallmarks of Scientific Research analytic generalizations. The research process entails translation of the Scientific research should possess; into practice. The process of Purposiveness[13], [14] -Research begun with a research proposes that the function of a science is to definite aim or purpose; Rigor - Good theoretical “establish general laws covering the behavior of basis, Sound methodology including Appropriate empirical events [19] with which the science in sample, method; and Testability - question is concerned. The scientific method is made can be tested when data is collected and up of four iterative processes as the researcher Do data support the conjectures; Replicability - Can pursues the solution to a scientific problem which others replicate the ?; Precision and include; observing a phenomenon, forming tentative Confidence - How close are findings based upon explanations or statements of cause and effect, sample to reality?, - How confident (probability observing or experimenting to rule out alternative measure) can we be that our estimations are correct; explanations and refining and retesting the - Conclusions based upon facts rather explanations. than just “ feeling”; Generalizability - Scope of The rest of the paper shall discuss fundamentals of the findings, and Parsimony - in research scientific research by focusing on research paradigms models, Simplicity of explanation. The decision to and scientific process, and research or not to research depends on the cost of the philosophical issues, , humanism, critical research, the choice of the method, the potential realism, postmodernism, scientific and , of the research, human factors like personal and research design and methodologies. ethical issues, internal or external politics and time. 2.1. Fundamentals of Scientific Research 1.3. Purpose of the study Scientific research goals are characterized either by The purpose of this paper was to bring out clearly the positivist or phenomenological approach. both the difference and relationship that exist among; Different assumptions about inform either of research philosophy, research design, and research the above paradigms. Phenomenology addresses the methodologies, thereby enlightening the junior purpose, process, data collection, data analysis, researchers and post-graduate students with an aim of of the distinguished characteristic bringing forth mature and quality research work. and statement of the purpose. Phenomenology is a method that attempts to 2. RESEARCH METHODS understand participants’’ perspectives and views of social realities. is a type of qualitative The research approach [15] can ether emphasize on that involves an in-depth study of an intact nomothetic methods or ideographic methods. cultural group in an natural setting. is Nomothetic methods are deductive, explains casual a type of applied research that focuses on finding a relationships by covering-laws (etic), generates and solution to a local problem in a local setting. uses quantitative data, uses various controls that are The positivist view asserts that as for the domain of either physical or statistical to allow the testing of , the reality of this () hypotheses, [16] and is highly structured research domain exists, and can be known, independently of methodology to ensure Replicability through surveys any personal view or interpretation thereof. Such and laboratory . personal interpretations are inherently subjective and Ideographic methods [17] are inductive, explains are deemed to be arrived at through inference rather subjective meaning systems and explanations by than deductive . There is a clear philosophical understanding(emic), generates and uses qualitative distinction between positivism and . data, is committed to research in every day setting, to In practice, any specific research approach sits in a allow access to, and minimize reactivity among the continuum in which research methodologies which subjects of research, it is minimally structured and are inherently positivist are described as nomothetic. employs action research and ethnography. In establishing what is true or false to draw a Quantitative approach is deductive [18], begins from conclusion, application of induction and deduction is theory, the hypothesis is firmly defined before the

GSJ© 2020 www.globalscientificjournal.com GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 35

essential. Induction is based on empirical Research can either be applied or basic. Applied whereas deduction is based on logic. research [15] is aimed at a specific whereas is aimed at the generation of 3. RESEARCH DESIGN STRATEGY knowledge relevant to industries, organization and researchers. The use of multiple, but independent, Research design can include research, case measures in a single study is known as triangulation, study research, action research, experimental a term borrowed from navigation and surveying research, surveys are essentially snapshots of where a minimum of the reference points are taken to practices, situations or views at a particular point in check an object’s location [26]. There are four time. Surveys are undertaken using or categories of triangulation: Theoretical models, data, structured interviews from which inferences may be Investigator, and Methodological. Triangulation of made. Quantitative techniques are often used in theories involves borrowing models from on analyzing responses with a view to identifying discipline and using them to explain situations in significant results. With careful design, surveys are a another discipline. Data triangulation refers to good means of looking at a far greater number of research where data is collected over the different variables than is the case with the experimental time frames or from different sources. Triangulation process. by investigators is where different people collect data research is one of the most common on the same situation, and the results are then approach to information technology research in the compared. Methodological triangulation [40] is the real world, given that case studies are generally use of both quantitative as well as qualitative considered to be a form of research, they have been methods of data collection. These can be extremely included in quantitative approaches. Case study is a diverse to include Questionnaires, interviews, method of conducting qualitative research and telephone surveys and field studies. Triangulating evolved as a distinctive approach t scientific inquiry, should be seen as not an end itself, but an imaginative partly as a reaction to perceived limitations of way of maximizing the amount of data collected. quantitative research. Case study research is a form of qualitative research. Qualitative research being a Survey research design [30] was presented by Hyman multi-method in its focus, involving an interpretive, in 1964 who presented a model for a research, which naturalistic approach to its subject matter. later was improved by [2]. They suggest that survey Action research is a valuable variation of the quasi- research study should include the following phases: research. The first conscious use of action Idea-Generating Phase, Problem-definition phase, research can be traced back to 1946 by Lewin who Procedures-design phase, Observation phase, was concerned with the application of social science Analysis phase, Interpretation phase and knowledge to solve social problems such as conflict Communication phase. between groups and the need to change eating habits in wartime [20]. Lewin does not seem to have used 3.2. Data Analysis Techniques any comprehensive definition of the term but he Statistics [41]are tools that help us interpret the nevertheless refers to research programmes within results of research studies. The appropriate statistic(s) organizations whose progress is guided by the needs depend on the nature of data and the question being of the organizations, and frequently uses the asked. The first step to statistical analysis is to expression 'problem centered research [21]. Of the organize and enter data on a file accessible to data- most crucial issues in contrasting action research and analysis program. Software used for Data analysis ethnography is that the client chooses the clinician include using SPSS [42]Windows Version 7.5. while the ethnographer chooses the subject group to Analysis techniques include , be studied. Clinicians enter an organization only if Correlation [43]and mean standard deviation, they are with the client. Susman and Evered [22] Pearson’s correlation, t-tests and Multiple Variance attempt to legitimate action research as science analysis, Multi-variate Credible Model. Data locating its foundation in philosophical viewpoints Analysis entails; Measurement and Measures. Feel which differ from those d to legitimate positivist for Data (Descriptive Statistics) include; Mean science. These are the notions of praxis, values, Standard Deviations and Variance. Goodness , existentialism, , process of Data (Inferential Statistics) include; Reliability of philosophies and phenomenology. Data, Validity of findings (Pearson Correlation Matrix), Hypothesis testing [44] and Multiple 3.1. Research Design Techniques Regress Analysis. Descriptive statistics entails; Measures of Central Tendency including; Mean - is

GSJ© 2020 www.globalscientificjournal.com GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 36

the arithmetic average of all scores. This is computed abstracts of the real of a system or by adding scores and dividing by the number of problem being solved within their natural setting. scores, Median - is the middle score or the score at Field experiments involve the process of designing 50th percentile, Mode - is the most frequently experiments to model real system or organizations occurring score. Measures of Variability include; and conducting experiments with this model for the Variance, Standard deviation - is the square root of purpose of understanding the behavior of the system the variance. Measures of Relationship include; and /or evaluating various strategies for the operation Pearson product-Moment correlation and Spearman of the system" [34]. Field experiments are an Rank-Order correlation. extension of laboratory experiments into the real world of organizations/. They focus on 4. RESEARCH PHILOSOPHY attempting to construct an experiment in a more Research philosophy refers to the set of beliefs realistic environment than is possible in the artificial, concerning the nature of the reality being investigated sanitized laboratory situation [35]. Like laboratory and the choice of the type of research philosophy experiments, is the difficulty in finding systems or applied in an area of research study depends on the organizations prepared to be experimented on! knowledge being investigated [23]. Ontological Replication [36] is problematic, in that it is extremely philosophy is concerned with the nature of reality and difficult to achieve sufficient control to enable outlines the difference between reality, our replication of the experiment with only the study about reality and how this influences everything variables being altered. Field experiments have around us [24]. The concept of praxis [25] is several strengths which include: Useful in building concerned with the of taking action in problematic theory that can subsequently be tested, Creation of situations in order to change them, and is guided by new ideas and insights, Recognition that the good judgment. Hermeneutics [26] has probably been researcher will interpret what is being studied in a more influential in the social in continental particular way, Contributes to cumulative knowledge, Europe than positivist approaches. Positivist [27] Practical as well as theoretical outcomes most often science tends to regard the researcher as sole aimed at emancipatory outcomes, and of possessor of knowledge from which action will ensue researcher made known. Field experiments have and sole originator of action to be taken on an weaknesses [37] which include: Complexity [38] and essentially passive world. By contrast, the action changing relationship of variables under study, research [20] process is essentially collaborative, Scenarios are not 'true' pictures of the future but synthesizing the contributions that both action enable decisions re. reactions in different 'futures', researcher and client make to solving problems. The Dependent on precision/relevance of past data and action researcher with theoretical [28] ideas and expertise of scenario builders, Possibility of self- broad practical experience may help clients make fulfilling prophecies, Difficulties associated with more sense of their practical knowledge and devising a that accurately reflects the real experience in situations in which they are trying to world situations, Restriction to a single event/ solve their particular problems. organization, Difficulty in generalizing, given A key criterion for the success of the action research problems of acquiring similar data from a statistically approach may lie in such behaviors as empathetic [39]meaningful number of cases, Lack of control of [29] understanding, taking the role of the other and in variables and Different interpretations of events by specific research methods that are more collaborative, individual researchers/ stakeholders. such as and non-directive 5. CONCLUSION interviewing has, action research would not be granted the status of a valid science on the basis of Certain approaches in research are best suited to be the covering-law model of explanation. The ultimate applied in Information Technology and Information criterion is the perceived likelihood of chosen actions Systems. A critical component of science is to produce desirable consequences for the communication of research findings. Scientific organization. Therefore, Action Research is a kind of communication occurs through presentations at science with a different epistemology [26] which scientific meetings and through publication in produces a different kind of knowledge of use to the journals and books or in Research Reports. Scientific particular organization, in the course of which its publications should describe procedures in detail, not members are developed to solve, their future only so that other can understand the problems. research, but also to allow them to replicate (repeat) it Experimental research design [30] strategy employs if they wish. By presenting full accounts of research Field Experiments [31]–[33]. Field experiments are rationales, procedures, findings, and interpretations,

GSJ© 2020 www.globalscientificjournal.com GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 37

the researcher is contributing to public scientific methods, 2nd ed. - PsycNET.” [Online]. activity, and the work can be fully evaluated by Available: others, even to the point of replicating the research. https://psycnet.apa.org/record/1990-97369- 000. [Accessed: 12-Dec-2019]. 6. REFERENCES [12] H. J. Eysenck, “Criterion analysis--an application of the hypotheticodeductive [1] D. G. Gregg, U. R. Kulkarni, and A. S. method to factor analysis,” Psychol. Rev., Vinzé, “Understanding the Philosophical vol. 57, no. 1, pp. 38–53, 1950. Underpinnings of Software [13] I. Etikan, S. A. Musa, and R. S. Alkassim, Research in Information Systems,” Inf. Syst. “Comparison of Convenience Sampling and Front., vol. 3, no. 2, pp. 169–183, 2001. Purposive Sampling Comparison of [2] M. Graziano, Anthony and Rauling, Convenience Sampling and Purposive “Research Methods: A Process of Inquiry, Sampling,” Am. J. Theor. Appl. Stat., vol. 5, 8th Edition | Pearson,” 8th Edition, 2012. no. January 2016, pp. 1–5, 2016. [Online]. Available: [14] J. W. Dearing, “Applying diffusion of https://www.pearson.com/us/higher- theory to intervention /program/Graziano-Research- development,” Res. Soc. Work Pract., vol. 19, Methods-A-Process-of-Inquiry-8th- no. 5, pp. 503–518, Sep. 2009. Edition/PGM1100056.html. [Accessed: 12- [15] H. Bukvova, “Research as a Process: A Dec-2019]. Comparison between Different Research [3] “Practical research : planning and design / Approaches Helena Bukvova,” vol. 9, no. Paul D. Leedy, Jeanne Ellis Ormrod - Details 2009. - Trove.” [Online]. Available: [16] A. R. Lyon et al., “Intentional research https://trove.nla.gov.au/work/7669100. design in implementation science: [Accessed: 12-Dec-2019]. implications for the use of nomothetic and [4] M. Mora, O. Gelman, D. Paradice, and F. idiographic assessment,” Transl. Behav. Cervantes, “The Case for Conceptual Med., vol. 7, no. 3, pp. 567–580, 2017. Research in Information Systems,” Int. Conf. [17] W. Velicer, “Applying Idiographic Research Inf. Resour. Manag. CONF-IRM, 2008. Methods: Two Examples,” ICOTS8 Invit. [5] K. Breu and J. Peppard, “the Participatory Pap., vol. 8, 2010. Paradigm for Applied Information Systems [18] S. C. Kleene, “Recursive Predicates and Research,” Ecis, pp. 243–252, 2001. Quantifiers,” Trans. Am. Math. Soc., vol. 53, [6] R. B. N. Jrad, M. D. Ahmed, and D. no. 1, p. 41, Jan. 2006. Sundaram, “Insider Action : [19] N. Agam et al., “An insight to the A multi-methodological Information Systems performance of crop water stress index for research approach,” Proc. - Int. Conf. Res. olive trees,” Agric. Water Manag., vol. 118, Challenges Inf. Sci., 2014. pp. 79–86, Feb. 2013. [7] R. R. Sokal and F. J. Rohlf, Biometry: the [20] Lewin, K, “Action Research and Minority principles and practice of statistics in Problems.,” J. Soc. Issues, no. 2, pp. 34–46, biological research, [Extensive. New York: 1946. W.H. Freeman, 2012. [21] A. J. Marrow, “Risks and Uncertainties in [8] T. Greenhalgh, G. Robert, F. MacFarlane, P. Action Research,” J. Soc. Issues, vol. 14, no. Bate, O. Kyriakidou, and R. Peacock, S12, pp. 1–2, 1958. “Storylines of research in diffusion of [22] E. D. R. Susman I. Gerald, “An Assesment of innovation: A meta- approach to the Scientific Merits of Action Research,” systematic review,” Soc. Sci. Med., vol. 61, vol. 23, no. 4, pp. 582–603, 1978. no. 2, pp. 417–430, 2005. [23] J. Scotland, “Exploring the philosophical [9] D. C. Montgomery, E. A. Peck, and G. G. underpinnings of research: Relating Vining, Introduction to Linear Regression and epistemology to the methodology and Analysis. 2013. methods of the scientific, interpretive, and [10] S. Rahi, “Research Design and Methods: A critical research paradigms,” English Lang. Systematic Review of Research Paradigms, Teach., vol. 5, no. 9, pp. 9–16, 2012. Sampling Issues and Instruments [24] S. R. Abidi, “Ontology-based knowledge Development,” Int. J. Econ. Manag. Sci., vol. modeling to provide decision support for 06, no. 02, 2017. comorbid diseases,” Lect. Notes Comput. Sci. [11] “Qualitative and research

GSJ© 2020 www.globalscientificjournal.com GSJ: Volume 8, Issue 5, May 2020 ISSN 2320-9186 38

(including Subser. Lect. Notes Artif. Intell. humanitarian aid organizations,” Remote Lect. Notes Bioinformatics), vol. 6512 LNAI, Sens., vol. 8, no. 4, 2016. pp. 27–39, 2011. [38] S. Zhang, S. Zhang, C. Zhang, X. Wang, and [25] P. Freire, R. Dobson, S. Brookfield, and N. Y. Shi, “Cucumber leaf disease identification Florida, “Praxis _ TRC_AWEA(2008),” no. with global pooling dilated convolutional 1984, 2008. neural network,” Comput. Electron. Agric., [26] C. Kivunja and A. B. Kuyini, “Understanding vol. 162, pp. 422–430, Jul. 2019. and Applying Research Paradigms in [39] M. T. Campbell, A. C. Knecht, B. Berger, C. Educational Contexts,” Int. J. High. Educ., J. Brien, D. Wang, and H. Walia, “Integrating vol. 6, no. 5, p. 26, 2017. Image-Based Phenomics and Association [27] D. Warfield, “IS/IT research: A research Analysis to Dissect the Genetic methodologies review,” J. Theor. Appl. Inf. of Temporal Salinity Responses in Rice,” Technol., vol. 13, no. 1, pp. 28–35, 2010. Plant Physiol., vol. 168, no. 4, pp. 1476– [28] K. Kraemer and J. L. King, “Information 1489, 2015. Technology and Administrative Reform: Will [40] J. Mangan, C. Lalwani, and B. Gardner, E-Government Be Different?,” Int. J. “Combining quantitative and qualitative Electron. Gov. Res., vol. 2, no. 1, pp. 1–20, methodologies in logistics research,” Int. J. Jan. 2006. Phys. Distrib. Logist. Manag., vol. 34, no. 7, [29] C. C. Santos-Lang, “Moral pp. 565–578, 2004. approaches to machine ethics,” in Intelligent [41] “Classification and Regression Trees Systems, Control and Automation: Science (Wadsworth Statistics/Probability): Leo and Engineering, vol. 74, Switzerland: Breiman, Jerome Friedman, Charles J. Stone, Springer, 2015, pp. 111–127. R.A. Olshen: 9780412048418: Amazon.com: [30] G. Guthrie, Basic research methods : an entry Books.” . to social science research. SAGE [42] “Discovering Statistics Using IBM SPSS Publications, 2010. Statistics - Andy Field - Google Books.” [31] M. D. Rowe, C. W. Fairall, and J. A. [Online]. Available: Perlinger, “Chemical sensor resolution https://books.google.co.ke/books?id=srb0a9f requirements for near-surface measurements mMEoC&printsec=frontcover&dq=spss+ebo of turbulent fluxes,” Atmos. Chem. Phys., ok+latest&hl=en&sa=X&ved=0ahUKEwiXp 2011. IrUzaLZAhVHtRQKHePCDhsQ6AEIJzAA# [32] J. A. Jimenez-Berni et al., “High Throughput v=onepage&q&f=false. [Accessed: 13-Feb- Determination of Plant Height, Ground 2018]. Cover, and Above-Ground Biomass in Wheat [43] F. Ma, X. Liu, A. Liu, M. Zhao, C. Huang, with LiDAR,” Front. Plant Sci., vol. 9, 2018. and T. Wang, “A Time and Location [33] Y. Li, C. Xia, and J. Lee, “Detection of Correlation Incentive Scheme for Deep Data small-sized insect pest in greenhouses based Gathering in Crowdsourcing Networks,” on multifractal analysis,” Optik (Stuttg)., vol. Wirel. Commun. Mob. Comput., vol. 2018, 126, no. 19, pp. 2138–2143, 2015. pp. 1–22, 2018. [34] S. Aygun and E. O. Gunes, “Computer vision [44] S. A. Goff et al., “The iPlant Collaborative: techniques for automatic determination of Cyberinfrastructure for Plant .,” yield effective bad condition storage effects Front. Plant Sci., vol. 2, p. 34, Jul. 2011. on various agricultural seed types,” 2016 5th Int. Conf. Agro-Geoinformatics, Agro- Geoinformatics 2016, pp. 1–6, 2016. [35] H. Yalcin, “Phenology recognition using deep learning: DeepPheno,” 26th IEEE Signal Process. Commun. Appl. Conf. SIU 2018, pp. 1–4, 2018. [36] H. S. Naik et al., “A real-time phenotyping framework using machine learning for plant stress severity rating in soybean,” Plant Methods, vol. 13, no. 1, p. 23, Dec. 2017. [37] M. Enenkel et al., “A combined satellite- derived drought indicator to support

GSJ© 2020 www.globalscientificjournal.com