Kothari C. R. (2004). Research Methodology

[Rosetta Ockman]

ResearchMethodology: Techniques and Trends focuses on both undergraduate and post graduate courses; and it helps readers understand the basic concepts and the application of results directly to real life business, industry and research organizations.

This is a textbook on research methodology for doctoral and post-doctoral programs; post graduate courses such as MSc, MBA, MCA, MS, etc., to name a few. Though the book is primarily addressed to students, it is equally useful to researchers and entrepreneurs as well.

This document discusses research methodology and provides an introduction to research. It defines research as a systematic investigation aimed at discovering and interpreting facts. The objectives of research are to gain new insights and accurate descriptions of phenomena, determine frequencies of occurrences, and test hypotheses about causal relationships between variables. Researchers are motivated to undertake research for reasons such as obtaining a research degree, facing challenges in solving unsolved problems, and addressing practical concerns. The document outlines the research process and emphasizes the importance of conducting research systematically and objectively.Read less

This chapter presents all the tools and systems used for this dissertation. It discusses the methodological epistemologies and approaches that support mathematical economics and social choice research. The research is based on: mathematical modeling of economic analysis in optimizations, social choice and game theory, voting system, environmental pollution, healthcare, and sustainable economy, NNP, social welfare and sustainability, GHG emissions, global warming and climate change that effects on modern economy, and finally green taxes on environment pollution to reduce GHG emissions.

This chapter introduces the research strategy and the empirical methods for the general approach, and specific techniques to address the objectives for the research. It also presents the research design and the methods used in the selection of the research participants, and for data collection. Research methodology indicates the logic of development of the process used to generate theory that is procedural framework within which the research is conducted (Remenyi et al. 1998). It provides the principles for organizing, planning, designing, and conducting research. Methodological decisions are determined by the research paradigm that a researcher is following. The research paradigm not only guides the selection of data gathering and analysis methods but also the choice of competing methods of theorizing (Sayer 1992).

This study is based on both primary and secondary data that are collected from various sources. Primary data have been collected from the 500 female garment workers of the slum areas of Chittagong City Corporation (CCC) of Bangladesh by random sampling technique through open-ended questionnaire. The open-ended response questions are most beneficial when a researcher conducts exploratory research, especially if the range of respondents is not known. The open-ended questions can be used to learn what words and phrases people spontaneously give to the free-response questions. The secondary data are collected from the websites, books and e-books, previous published articles, theses, conference papers, case studies, magazines, and various research reports.

Here we have tried to discuss in brief, and clarify how evidence in this study was collected and analyzed, as well as to introduce the research strategy and the empirical techniques applied in this research. The research strategy adopted was face-to-face interview of the garments workers. The mathematical and theoretical data are collected and developed to make this empirical research fruitful.

In this post, we will discuss the concept of quantitative research as viewed through the lens of various esteemed authors. The aim is to provide a holistic view of this research method, focusing particularly on guiding beginner researchers and graduate students towards seminal works that offer invaluable insights into the field.

an inquiry into a social or human problem, based on testing a theory composed of variables, measured with numbers, and analyzed with statistical procedures, in order to determine whether the predictive generalizations of the theory hold true. The final written report has a set structure consisting of introduction, literature and theory, methods, results, and discussion. Like qualitative researchers, those who engage in this form of inquiry have assumptions about

testing theories deductively, building in protections against bias, controlling for alternative or counterfactual explanations, and being able to generalize and replicate the findings. (p. 4)

Quantitative research is grounded in a positivist paradigm, which assumes that there is an objective reality that can be measured and understood through empirical observation. By employing standardized and structured instruments, such as surveys and experiments, researchers seek to minimize subjective biases and ensure the reliability and validity of their findings.

The process typically involves the formulation of specific hypotheses derived from existing theories, which are then tested through the analysis of data. This deductive approach enables researchers to confirm, refute, or refine their theoretical assumptions based on empirical evidence.

Statistical procedures play a crucial role in quantitative research, as they help identify patterns, trends, and relationships among variables. Descriptive statistics provide an overview of the data, while inferential statistics allow researchers to make generalizations from their sample to the broader population.

Quantitative research, as Punch defines it, relies on numerical data. This approach allows for precise measurements, statistical analysis, and the identification of patterns, trends, and relationships among variables.

Quantitative research, as I stated earlier, is often grounded in the positivist paradigm, which assumes an objective reality that can be studied and understood through empirical observation. Examples of quantitative research methods include surveys, experiments, and structured observations.

On the other hand, qualitative research focuses on non-numerical data, such as words, images, or actions. This approach aims to capture the complexity and richness of human experiences and social phenomena.

Qualitative research is often rooted in the interpretivist or constructivist paradigm, which acknowledges that reality is subjective and co-constructed by individuals through their experiences and interpretations. Examples of qualitative research methods include interviews, focus groups, ethnography, and content analysis.

In summary, Punch distinguishes quantitative and qualitative research based on the nature of the data collected, with the former involving numerical data and the latter focusing on non-numerical data. This distinction reflects the different epistemological assumptions, research methods, and analytical approaches employed in each methodology.

In this excerpt, Leavy (2022) characterizes quantitative research as an approach that values breadth, statistical descriptions, and generalizability. The focus of quantitative research is on achieving objectivity, control, and precise measurement, which is achieved through the use of structured and standardized methods. This approach is grounded in a deductive research design, which starts with theories and hypotheses that are then tested and validated or refuted based on empirical evidence.

Quantitative research is particularly well-suited for explanatory research, as it seeks to uncover causal relationships, associations, and correlations among variables. By employing rigorous sampling techniques and statistical analyses, quantitative researchers can identify patterns and relationships in the data, which can then be generalized to the broader population.

In conclusion, Leavy (2022) highlights the key aspects of quantitative research, emphasizing its focus on breadth, statistical descriptions, generalizability, objectivity, control, precise measurement, and explanatory power. This approach provides valuable insights into causal relationships and associations, contributing to the advancement of knowledge across various fields.

Kothari (2004) provides a comprehensive overview of quantitative research, emphasizing its focus on generating data that can be subjected to rigorous quantitative analysis in a formal and rigid manner. The author further categorizes quantitative research into three sub-approaches: inferential, experimental, and simulation.

2. Experimental approach: This approach is characterized by greater control over the research environment, where variables are manipulated to observe their effects on other variables. Experimental research is used to establish cause-and-effect relationships and often involves controlled settings and random assignment of participants to different conditions.

3. Simulation approach: This approach entails creating an artificial environment to generate relevant data and observe the dynamic behavior of a system or its sub-systems under controlled conditions. In the context of business and social sciences, simulation refers to the operation of a numerical model representing the structure of a dynamic process. This approach helps in building models for understanding future conditions and predicting potential outcomes.

In summary, Kothari (2004) delineates quantitative research as a method that generates and analyzes data in a systematic, rigorous manner, further sub-dividing it into inferential, experimental, and simulation approaches. Each sub-approach offers unique insights and techniques for understanding various aspects of the phenomena under investigation.

In this passage, Williams et al. (2022) provide a rule-of-thumb definition of quantitative research as investigations where the collected and coded data can be expressed as numbers, while qualitative research deals with data collected and coded as words. The authors acknowledge that more profound distinctions exist, touching upon epistemologies, worldviews, and ontologies.

3a8082e126