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Systematic Process For Designing Research Methodology in Chemistry |
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Paper Id :
18677 Submission Date :
11/09/2021 Acceptance Date :
22/09/2021 Publication Date :
25/09/2021
This is an open-access research paper/article distributed under the terms of the Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. DOI:10.5281/zenodo.10949176 For verification of this paper, please visit on
http://www.socialresearchfoundation.com/anthology.php#8
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Abstract |
A well-structured research methodology forms the backbone of
any successful investigation within the field of chemistry. This paper presents
a systematic process for designing such methodologies, outlining key
considerations and decision points that researchers must address. The process
begins with the precise definition of the research question, establishing a
clear direction for the subsequent stages. A thorough literature review is
essential to contextualize the investigation within the existing body of
knowledge and identify potential methodological approaches. The selection of
data collection methods, whether experimental, observational, or computational,
must be carefully aligned with the research objectives. The process further
emphasizes rigorous data analysis techniques and the proactive integration of
ethical considerations throughout all stages, ensuring both scientific
integrity and responsible research practices. By systematically addressing
these elements, researchers can improve the validity, reproducibility, and
overall impact of their work in chemistry. |
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Keywords | Research design, Hypothesis, Systematic analysis, Quantitative methods, Delimitation. | ||||||
Introduction | Research methodology pertains to the methodical approach employed to tackle research obstacles. Research technique refers to the systematic organisation and utilisation of tools and methods to conduct a research investigation. It encompasses the entire process, commencing with formulating a research inquiry and concluding with analysing the results, ensuring the precision and reliability of the findings. It functions as the foundational blueprint for conducting research. The text describes the specific approaches, strategies, and steps used to investigate research questions or confirm hypotheses. Choosing the suitable methodology is crucial to ensure the quality and dependability of the research results. The applicability of research methodology is not universal [1]. The choice of methodologies and approaches will vary depending on the particular research inquiry, the academic field, and the available resources. In order to ensure the suitability and thoroughness of the research study, it is essential to justify the decisions made. 3. Statement of Research Problem: The statement of a research problem is a crucial element in any academic or scientific investigation. It functions as a succinct and unambiguous explanation of the particular problem or issue that the research intends to tackle. Through the process of defining the problem, researchers can establish the fundamental basis for their study, which will direct and concentrate their research efforts [6]. Defining a Problem - i. Survey the available literature ii. State the problem in a general way iii. Understand the nature of the problem iv. Go for discussions for developing ideas v. Rephrase the research problem in to a working proposition Topic of Research: A topic of research is the focal point of an investigative study, usually in an academic or scientific context. It's the specific area or question that a researcher explores and aims to gain new knowledge or understanding about. A good research topic should be specific, feasible, and interesting i. Provides direction and focus: A clear topic gives your research a roadmap, keeping you on track and preventing you from getting bogged down in irrelevant tangents. It helps you prioritize tasks, allocate resources effectively, and make informed decisions throughout the research process. ii. Improve feasibility: A well-defined topic allows you to set realistic goals, gather focused data, and analyze it thoroughly within the available timeframe and resources. iii. Improve manageability: By narrowing your focus, you make your research project more manageable. A large, vague topic might seem impressive, but it's likely to be overwhelming and lead to incomplete or inconclusive results. iv. Facilitates effective research design: Once you have a clear topic, you can choose the appropriate research methods and tools. This optimizes data collection and analyses, ensuring you gather the right information to answer your research questions. Vague topics often lead to inappropriate methodologies, resulting in unreliable findings that don't accurately reflect the research question [7]. |
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Aim of study |
The objective
of study is to uncover solutions to inquiries by employing scientific
methodologies. The primary objective of research is to uncover and reveal
previously undiscovered truths. a) Primary Objective - The primary objective of research is the main goal, purpose, or question that drives the entire investigative process. It serves as the central focus and guiding principle for every step of the research, from formulating the research question to collecting and analyzing data, drawing conclusions, and disseminating findings. b) Secondary Objectives - In research, secondary objectives are additional goals beyond the main objective, the primary focus of the investigation. They provide broader context, explore related but separate questions, or delve deeper into specific aspects of the main objective. While not core to the research, they can enhance its value and offer valuable insight [8]. |
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Review of Literature | In this
literature review, we will explore key concepts and best practices in designing
research methodologies in the field of chemistry. The importance of research
methodology in chemistry cannot be overstated, as it serves as the foundation
for scientific inquiry and discovery in the field. A well-designed research
methodology enables chemists to formulate hypotheses, design experiments,
collect and analyze data, and draw meaningful conclusions. By employing
rigorous methods, researchers can ensure the reliability and validity of their
findings, which is crucial for advancing knowledge and understanding in
chemistry. Furthermore, a systematic approach to research methodology allows
for reproducibility of results, which is essential for building upon existing
knowledge and verifying scientific claims. Without robust methodology,
scientific progress in chemistry could be hindered by inaccuracies and
inconsistencies. Therefore, careful consideration of research methodology is
paramount for conducting high-quality and impactful research in the field of
chemistry [2]. One of the
fundamental aspects of designing a research methodology is the selection of an
appropriate research design. Research designs in chemistry can vary from
experimental and quasi-experimental designs to correlational and descriptive
designs. Each type of research design has its strengths and limitations, and
researchers must carefully consider the research questions and objectives to
choose the most suitable design for their study. In addition to selecting a research
design, researchers must also carefully consider the sampling strategy to be
used in their study. Sampling is a crucial aspect of research methodology, as
it determines the representativeness and generalizability of the study findings
[3]. The key components of a systematic research methodology in chemistry lie in the meticulous planning, execution, and analysis of experiments to ensure reliable and reproducible results. Beginning with a clear research question or hypothesis, researchers must define the scope of their study, establish objectives, and design detailed experimental protocols. These protocols should outline the materials, methods, and procedures to be followed, including any controls or standards necessary for accuracy. In the middle phase of the methodology, data collection occurs, adhering strictly to the established protocols, with a focus on quantifying and recording results precisely. Statistical analysis techniques are then applied to interpret the data and draw meaningful conclusions, advancing the field of chemistry. It is imperative for researchers to document each step taken, enabling transparency and reproducibility in scientific endeavors [4]. Furthermore, the choice of data collection methods and instruments is another critical aspect of designing a research methodology in chemistry. Researchers must carefully select the most appropriate tools and techniques for collecting data, taking into account factors such as the nature of the research questions, the characteristics of the study population, and the resources available for data collection. Researchers highlighted the importance of using multiple data collection methods to triangulate findings and enhance the validity of research results. Researchers must implement rigorous quality control measures to minimize bias and errors in data collection and analysis [5]. In conclusion, designing a research methodology in chemistry requires a systematic and thoughtful approach to ensure the rigor and credibility of scientific investigations. By carefully considering key aspects such as research design, sampling strategy, data collection methods, and quality control measures, researchers can develop robust methodologies that yield meaningful and reliable results. |
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Main Text | Significance of the Research: The significance of the research also extends to its
potential impact on society, as the findings may inform policy decisions, shape
interventions, or provide recommendations for future research and
practice. It forms the backbone of your research project, ensuring
reliable, valid, and trustworthy results that contribute meaningfully to your
chosen field. The significance of the research lies in its ability to
contribute to the existing body of knowledge and address gaps or unanswered
questions in the field. By conducting thorough research, the researcher can
uncover new insights, challenge existing theories, or validate previous
findings [7]. This can lead to
advancements in the field, improved understanding, and potentially practical
applications. i. Scientific
and Inductive thinking: Research
inculcates scientific and inductive thinking and it promotes the development of
logical habits of thinking and organization. ii. Validity and Reliability: A well-designed methodology minimizes bias and ensures
your findings accurately reflect the data you collected. Reliability is achieved by ensuring consistency in
your research process. A clear methodology allows other researchers to
replicate your study and verify your results. iii. Credibility and Trust: A transparent and documented methodology inspires
confidence in your research. When readers understand how you conducted your
study, they are more likely to trust your conclusions. This is especially important for fields where decisions
are made based on research evidence. Robust methodology strengthens the impact
and influence of your research. iv. Solution of the Right Problems: A well-aligned
methodology ensures your findings directly address your research question and
contribute to solving the problem or issue you identified. Research has
its special significance in solving various operational and planning of
business and industry [8]. Scope of Study: The scope of study in research pertains to the parameters
and constraints of your research endeavour. A research scope delineates the
specific boundaries of your study, encompassing both its inclusions and
exclusions. Establishing a distinct and well defined beginning scope is crucial
in directing your research and guaranteeing its caliber and influence [9]. Elements of scope of research study- i. Clear Research objectives ii. Identify the key variables iii. Describe the methods iv. Recognise and address the limitations Research Design: The researcher
will be required to develop a research design, which means that he will be
required to define the conceptual structure within which research would be
conducted. This is because the research topic has been formulated in clear and
concise terms. The formulation of such a system enables research to be highly
efficient, resulting in the acquisition of maximum knowledge. The purpose of
study design is to facilitate the gathering of pertinent evidence while
minimising the need for excessive resources, such as effort, time, and
money [10]. Types of
research can be classified as- i. Descriptive
research focuses on gathering factual information to determine the
existing nature of something. On the other hand, analytical research focuses on
establishing the accuracy of a hypothesis by analysing the acquired evidence. ii. Applied
research is conducted with the purpose of addressing practical issues
and providing assistance in decision-making across several domains, such as
product design, process design, and policy-making. Basic research is conducted
primarily to satiate intellectual curiosity rather than with the aim of
immediately applying the research findings in a practical manner. iii. Quantitative
research examines features of the research subject that cannot be
measured or analysed quantitatively. Quantitative research, on the other hand,
heavily relies on measurements and quantitative analysis methods. iv. Conceptual
research involves the exploration of thoughts and ideas, as well as
the generation of new ideas or the interpretation of existing ones through the
use of logical reasoning. Empirical research, in contrast, relies on reliable
and verifiable evidence that is gathered through either observing things in
their natural state or conducting experiments. Statistical Tools & Techniques: Statistical tools and techniques are the backbone of research, playing a
crucial role in every stage of the research process, from designing studies and collecting data
to analyzing results and drawing conclusions. The use of statistical tools
and techniques in research can greatly benefit from a well-defined scope. By
clearly outlining the boundaries of a study, researchers can determine which
statistical methods are most appropriate for their specific research question [11]. This allows for more accurate and
reliable results, as researchers can focus their efforts on analyzing the data
within the defined scope. Descriptive statistics- i. Measures of central tendency: mean, median, mode ii. Measures of variability: standard deviation,
variance, range iii. Frequency distributions like as histograms, bar
charts, pie charts iv. Data visualization such as scatter
plots, boxplots etc Inferential statistics- i. Parametric
tests: T-test, ANOVA, Regression analysis ii. Non-parametric tests: U-test, Chi-square test etc iii. Correlation analysis: Pearson's correlation coefficient |
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Hypothesis | Hypothesis Formulation: The hypothesis must be highly specific and confined to the particular research being conducted, as it needs to undergo testing. The hypothesis serves to provide guidance to the researcher by defining the scope of the investigation and ensuring that they stay focused on the correct path. It enhances cognitive abilities and directs attention towards the crucial aspects of the problem. It also specifies the necessary data and the appropriate methodologies for data analysis [9]. Types of Hypotheses: i. Null hypothesis (H0): Asserts that there is no significant relationship or difference between variables. It's often used as a starting point to be tested against the alternative hypothesis. (ii) Alternative hypothesis (Ha): Proposes that there is a significant relationship or difference between variables. It's the hypothesis you aim to support with your research findings. Features of a Hypothesis: (i) Conduct a comprehensive analysis of relevant studies conducted in the same field or studies addressing similar issues. (ii) Analysing the available data and records related to the issue to identify potential patterns, anomalies, and other indicators (iii) Avoid complex or convoluted statements. Focus on the core relationship between your variables. (iv) Your hypothesis should be open to being proven wrong. This allows for meaningful data analysis and scientific progress. Ground your hypothesis in existing theoretical frameworks or established knowledge in your field. |
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Conclusion |
The systematic process detailed in this paper provides a
vital roadmap for researchers seeking to establish a well-structured
methodology within the field of chemistry. By meticulously crafting a research
question, exploring existing knowledge through comprehensive literature
reviews, and aligning the research design with the investigation's objectives,
researchers can lay a strong foundation for success. The careful selection of
data collection and analysis methods, coupled with a commitment to ethical
guidelines, underpins the integrity and trustworthiness of research outcomes.
It's important to recognize that research methodology is not a static blueprint.
Researchers must be prepared to revisit and adapt their chosen methods and
approaches as new insights emerge during the investigation. This flexibility,
combined with a clear methodological framework, enables researchers to respond
effectively to unexpected findings and potentially uncover novel avenues of
exploration within the chemical sciences. Finally, a systematic process for
designing research methodology encourages transparency, promotes replicability,
and paves the way for innovative breakthroughs in chemistry. By embracing these
principles, researchers can make significant contributions to the advancement
of scientific understanding and its real-world applications. |
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Suggestions for the future Study | The systematic process presented in this paper establishes a robust foundation for designing chemical research methodologies. To further enhance the field's rigor and impact, the following avenues warrant consideration: i. Adoption of Open Science Practices: Promoting open access to research methodologies, data, and protocols would bolster transparency, reproducibility, and collaborative innovation. Establishing shared repositories and standardized reporting formats would facilitate the critical evaluation and refinement of methodologies across the chemistry community [15]. ii. Proactive Ethical Considerations: The rapid development of novel chemical technologies necessitates the parallel development of ethical frameworks. Researchers must proactively address the ethical, societal, and environmental implications of their work. iii. Emphasis on Interdisciplinary Collaboration: Complex research challenges in chemistry often require expertise from intersecting disciplines. Fostering interdisciplinary collaborations and developing methodologies that bridge traditional disciplinary boundaries will enable more comprehensive problem-solving and unlock new frontiers of research. iv. Methodological Adaptation and Refinement: Research methodology must remain responsive to the evolving nature of scientific inquiry. Encouraging critical evaluation of existing methodologies, peer review, and the development of novel tools will ensure that chemical research practices remain relevant, robust, and aligned with the highest standards of rigor. |
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Limitation of the Study | These limitations involve a range of factors, such as limitations in the methods used, restrictions on the size of the sample, and ethical concerns. The methodology used in the study could be a limitation. If the methodology is flawed or biased, it can impact the validity and reliability of the results [12]. i. Analyze possible confounding variables and other factors that were not accounted for in the study but could have influenced its outcomes. ii. Any challenges faced during data collection, including potential sources of error or inaccuracies in measurements. Discuss how these limitations might impact the reliability and validity of the study's conclusions. iii. Evaluate to what extent the findings can be generalized beyond the specific context in which they were obtained. iv. The limitation is that this approach is costly and time consuming. It requires a certain skilled workforce and tools for data collection. This approach requires a skilled researcher who can implement and use basic tools needed to carry out this research. Delimitation of Study: In any research study, delimitation plays a crucial role in defining the boundaries and scope of the investigation. Delimitation helps researchers establish the limits within which they will conduct their study, setting clear parameters for what will be included and excluded, and ensuring that the findings remain focused and relevant. Additionally, delimitations provide transparency in research, allowing other researchers to understand the limitations of the study and potentially replicate or build upon the findings [13]. Use of delimitation- i. Emphasis and precision in research ii. Ability to handle research tasks effectively iii. Viability of research procedures iv. Precise analysis of research findings Some delimitation in research are- i. Methodological boundaries: Delimitations can also be related to the methods used in research, such as restricting data collection techniques or analysis procedures to maintain consistency and reliability throughout the study. ii. Sample size and selection criteria: Delimitations can be set based on the number of participants in a study and specific characteristics, ensuring that the research focuses on a specific subset of individuals with shared traits. iii. Exclusion of variables: Researchers may choose to exclude certain variables from their study to narrow down its focus and avoid potential confounding factors that could impact their findings. By clearly defining the delimitations, researchers can avoid potential confounding variables and ensure the validity of their findings. Without delimitations, the study may become too broad and lose its focus, leading to inconclusive results. |
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References | 1. Freund, H.,
& Sundmacher, K. (2008). Towards a methodology for the systematic
analysis and design of efficient chemical processes. Chemical
Engineering and Processing: Process Intensification, 47(12),
2051–2060. https://doi.org/10.1016/j.cep.2008.07.011 2. Creswell, J.
W. (2014). Research design: Qualitative, quantitative, and mixed methods
approaches. Sage publications. 3. Creswell, J.
W., & Creswell, J. D. (2017). Research design: Qualitative,
quantitative, and mixed methods approaches. Sage publications. 4. Cignitti,
S., Mansouri, S. S., Woodley, J. M., & Abildskov, J. (2018).
Systematic Optimization-Based Integrated Chemical Product–Process Design
Framework. Industrial & Engineering Chemistry Research, 57(2),
677–688. https://doi.org/10.1021/acs.iecr.7b04216 5. Tobi, H.,
& Kampen, J. K. (2017). Research design: the methodology for
interdisciplinary research framework. Quality & Quantity, 52(3),
1209–1225. https://doi.org/10.1007/s11135-017-0513-8 6. Diwekar, U.
M., & Rubin, E. S. (1994). Parameter design methodology for chemical
processes using a simulator. Industrial & Engineering Chemistry
Research, 33(2), 292–298. https://doi.org/10.1021/ie00026a018 7. Surowiec,
I., Vikström, L., Hector, G., Johansson, E., Vikström, C., & Trygg, J. (2017).
Generalized Subset Designs in Analytical Chemistry. Analytical
Chemistry, 89(12), 6491–6497.
https://doi.org/10.1021/acs.analchem.7b00506 8. Havanki, K.
L., & VandenPlas, J. R. (2014). Eye Tracking Methodology for
Chemistry Education Research. ACS Symposium Series, 191–218.
https://doi.org/10.1021/bk-2014-1166.ch011 9. Stolk, M.,
Bulte, A., de Jong, O., & Pilot, A. (2005). Teaching Concepts in
Contexts: Designing a Chemistry Teacher Course in a Curriculum
Innovation. Research and the Quality of Science Education, 169–180.
https://doi.org/10.1007/1-4020-3673-6_14 10.
Charpentier, J. C. (2009). Perspective on multiscale methodology for
product design and engineering. Computers & Chemical Engineering, 33(5),
936–946. https://doi.org/10.1016/j.compchemeng.2008.11.007 11. Roell, K.
R., Reif, D. M., & Motsinger-Reif, A. A. (2017). An Introduction to
Terminology and Methodology of Chemical Synergy-Perspectives from Across
Disciplines. Frontiers in Pharmacology, 8.
https://doi.org/10.3389/fphar.2017.00158 12. Bezerra, M.
A., Santelli, R. E., Oliveira, E. P., Villar, L. S., & Escaleira, L. A. (2008).
Response surface methodology (RSM) as a tool for optimization in analytical
chemistry. Talanta, 76(5), 965–977.
https://doi.org/10.1016/j.talanta.2008.05.019
13. Liang, Y.
Z., Fang, K. T., & Xu, Q. S. (2001). Uniform design and its
applications in chemistry and chemical engineering. Chemometrics and
Intelligent Laboratory Systems, 58(1), 43–57.
https://doi.org/10.1016/s0169-7439(01)00139-3 |