At the outset, it must be noted that when we talk about the “strengths” of quantitative research, we do not necessarily mean that it is better than qualitative research; nor we say that it is inferior to qualitative research if we talk about its weaknesses. Hence, these strengths and weaknesses depend only on a specific purpose they serve, such as in terms of the problems or gaps that it aims to address or in terms of the time needed to complete the research. This means, therefore, that quantitative research is better than qualitative research only in some respects, and vice versa.
So, what are some of the major strengths of quantitative research?
First, in terms of objectivity and accuracy. If the issue is about objectivity and accuracy, then quantitative research is strong and more preferrable because, as we may already know, quantitative research explains phenomena according to numerical data which are analyzed by means of mathematically based methods, especially statistics. In this way, biases are reduced to the minimum and analysis and interpretations are more objective and accurate. In fact, another important point to remember in quantitative research is that it is informed by objectivist epistemology. This means that quantitative research seeks to develop explanatory universal laws, for example, in social behaviors, by statistically measuring what it assumes to be a static reality. In relative vein, a quantitative approach endorses the view that psychological and social phenomena have an objective reality that is independent of the subject, that is, the knower or the researcher and the known or subjects are viewed as relatively separate and independent. Hence, in quantitative research, reality should be studied objectively by the researchers who should put a distance between themselves and what is being studied. In other words, in quantitative research, the researcher lets the “object” speaks for itself by objectively describing rather than giving opinions about it. This explains why quantitative researchers are supposed to play a neutral role in the research process. Hence, the meaning participants ascribe to the phenomenon studied is largely ignored in quantitative studies.
Second, in terms of sample size. It must be noted that a broader study can be made with quantitative approach, which involves more subjects and enabling more generalizations of results. In fact, scholars and researchers argue that one major advantage of quantitative research is that it allows researchers to measure the responses of a large number of participants to a limited set of questions. Also, quantitative methods and procedures allow the researchers to obtain a broad and generalizable set of findings from huge sample size and present them succinctly and parsimoniously.
Third, in terms of efficiency in data gathering. In terms of data gathering, quantitative research allows researchers to use a pre-constructed standardized instrument or pre-determined response categories into which the participants’ varying perspectives and experiences are expected to fit. Hence, data gathering in quantitative research is faster and easier. In fact, data gathering in quantitative research can be automated via digital or mobile surveys which, for example, allows thousands of interviews to take place at the same time across multiple countries. As we can see, data gathering in quantitative research is efficient and requires less effort.
And fourth, in terms of cost efficiency. Since data gathering in quantitative research is efficient and requires less effort, then obviously, the cost of someone conducting quantitative research is typically far less than in qualitative research.
So much for the major strengths of quantitative research. Let me now discuss very briefly its major weaknesses.
First is that results in quantitative research are less detailed. Since results are based on numerical responses, then there is a big possibility that most results will not offer much insight into thoughts and behaviors of the respondents or participants. In this way too, results may lack proper context.
Second, because quantitative research puts too much emphasis on objectivity and accuracy, it does not consider meaning behind phenomena. Needles to say, in every phenomenon, there are always important points that cannot be fully captured by statistics or mathematical measurements. Indeed, not all phenomena can be explained by numbers alone.
Third is on the issue of artificiality. Quantitative research can be carried out in an unnatural environment so that controls can be applied. This means that results in quantitative research may differ from “real world” findings.
Fourth is that in quantitative research, there is a possibility of an improper representation of the target population. Improper representation of the target population might hinder the researcher from achieving its desired aims and objectives. Despite the application of an appropriate sampling plan, still representation of the subjects is dependent on the probability distribution of observed data. As we can see, this may lead to miscalculation of probability distribution and falsity in proposition.
Fifth, quantitative research is limiting. Quantitative research employs pre-set answers which might ask how people really behave or think, urging them to select an answer that may not reflect their true feelings. Also, quantitative research method involves structured questionnaire with close-ended questions which leads to limited outcomes outlined in the research proposal. In this way, the results, expressed in a generalized form, cannot always represent the actual occurrence or phenomenon.
And sixth is the difficulty in data analysis. Quantitative studies require extensive statistical analysis, which can be difficult to perform for researchers from non-statistical backgrounds. Statistical analysis is based on scientific discipline and, hence, difficult for non-mathematicians to perform. Also, quantitative research is a lot more complex for social sciences, education, sociology, and psychology. Effective response should depend on the research problem rather than just a simple yes or no response. For example, to understand the level of motivation perceived by Grade 12 students from the teaching approach taken by their class teachers, mere “yes” and “no” might lead to ambiguity in data collection and, hence, improper results. Instead, a detailed interview or focus group technique might develop in-depth views and perspectives of both the teachers and children.
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Quantitative research is a powerful tool for studying human behavior, attitudes, and opinions. It involves the collection and analysis of numerical data, and can be used to test hypotheses and answer specific research questions. There are several situations in which quantitative research may be an appropriate research method, including:
1. When the research question requires objective measurement:
Quantitative research is particularly useful when the research question requires objective measurement. For example, if a researcher wants to study the effectiveness of a new drug, they might use a randomized controlled trial to objectively measure the drug’s effects. Similarly, if a researcher wants to study the relationship between two variables, such as the relationship between socioeconomic status and academic achievement, they might use a correlational study to objectively measure the strength and direction of that relationship.
2. When the research question requires statistical analysis:
Quantitative research is also useful when the research question requires statistical analysis. Statistical analysis can help researchers determine whether the results they obtain are statistically significant, meaning that they are unlikely to have occurred by chance. This is particularly important in fields such as medicine and psychology, where statistical analysis is often used to determine the effectiveness of treatments or interventions.
3. When the research question requires a large sample size:
Quantitative research is often used when the research question requires a large sample size. This is because quantitative research methods, such as surveys and questionnaires, can be used to collect data from a large number of participants quickly and efficiently. For example, if a researcher wants to study the prevalence of a particular behavior, they might use a survey to collect data from a large sample of people.
4. When the research question requires generalization:
Quantitative research is also useful when the research question requires generalization. Generalization refers to the ability to make inferences about a larger population based on the results obtained from a smaller sample. For example, if a researcher wants to study the prevalence of depression in a particular population, they might use a survey to collect data from a sample of that population. The results obtained from the sample could then be generalized to the larger population.
5. When the research question requires control over variables:
Quantitative research is also useful when the research question requires control over variables. In experimental research, for example, the researcher can manipulate the independent variable and control for extraneous variables, allowing them to determine whether there is a cause-and-effect relationship between the independent variable and the dependent variable. This type of control is not possible in other research methods, such as observational studies.
In conclusion, quantitative research is a powerful tool for studying human behavior, attitudes, and opinions. It can be used in a wide range of research contexts, including when the research question requires objective measurement, statistical analysis, a large sample size, generalization, or control over variables. By carefully designing and conducting quantitative research studies, researchers can gain valuable insights into the complex and multifaceted nature of human behavior.
Quantitative research is a type of research method that involves the collection and analysis of numerical data. It is widely used in social sciences such as psychology, sociology, and education to study human behavior, attitudes, and opinions. Quantitative research can be broadly divided into four categories, including descriptive, correlational, quasi-experimental, and experimental research.
Descriptive research
Descriptive research is a type of quantitative research that involves the collection of data to describe a particular phenomenon or situation. This type of research does not involve any manipulation of variables, but rather focuses on describing the characteristics of a particular population or situation. Descriptive research can be conducted using a variety of methods, including surveys, questionnaires, and observations. Some examples of descriptive research include market research, demographic surveys, and epidemiological studies.
Correlational research
Correlational research is a type of quantitative research that examines the relationship between two or more variables. The goal of correlational research is to determine whether there is a relationship between two or more variables, and if so, to describe the nature of that relationship. Correlational research can be conducted using a variety of methods, including surveys and questionnaires, and can be used to study a wide range of topics, including education, health, and social behavior. Some examples of correlational research include studies examining the relationship between academic achievement and socioeconomic status, or the relationship between stress and health.
Quasi-experimental research
Quasi-experimental research is a type of quantitative research that involves the manipulation of an independent variable, but does not include random assignment of participants to groups. In quasi-experimental research, the researcher selects participants who are already in a particular group or who have already experienced a particular event. This type of research is often used when it is not possible or ethical to randomly assign participants to groups. Quasi-experimental research can be used to study a wide range of topics, including education, health, and social behavior. Some examples of quasi-experimental research include studies examining the effectiveness of a new teaching method or the impact of a community intervention program.
Experimental research
Experimental research is a type of quantitative research that involves the manipulation of an independent variable and the random assignment of participants to groups. The goal of experimental research is to determine whether there is a cause-and-effect relationship between the independent variable and the dependent variable. Experimental research can be used to study a wide range of topics, including education, health, and social behavior. Some examples of experimental research include studies examining the effectiveness of a new drug or the impact of a social intervention program.
In conclusion, quantitative research is a powerful tool for studying human behavior, attitudes, and opinions. The four main types of quantitative research include descriptive, correlational, quasi-experimental, and experimental research. Each of these types of research has its own strengths and weaknesses, and researchers should carefully consider the appropriate method to use for their specific research question. By carefully designing and conducting quantitative research studies, researchers can gain valuable insights into the complex and multifaceted nature of human behavior.
Research design refers to the overall plan and strategy for conducting a research study. It outlines the specific methods and procedures that will be used to collect and analyze data, as well as the rationale behind these choices. Research design is an essential component of the research process, as it ensures that the study is conducted in a systematic and rigorous manner, and that the findings are reliable and valid.
There are several key characteristics of research design that are essential for any study to be considered well-designed and rigorous. These include:
Clarity of research question: The research question should be clear and well-defined, and should provide a clear direction for the study. The research question should be specific enough to guide the selection of appropriate research methods and procedures, and should be relevant to the research field.
1. Appropriateness of research methods: The research methods used should be appropriate for the research question and objectives, and should be selected based on the strengths and weaknesses of each method. The methods chosen should be capable of producing reliable and valid data that can be used to answer the research question.
2. Sampling design: The sampling design should be appropriate for the research question and objectives, and should be representative of the population being studied. The sample size should be large enough to ensure statistical power, and should be selected using appropriate sampling techniques.
3. Data collection procedures: The data collection procedures should be appropriate for the research question and objectives, and should be designed to minimize bias and maximize accuracy. The procedures should be standardized to ensure consistency across participants and data collectors.
4. Data analysis procedures: The data analysis procedures should be appropriate for the research question and objectives, and should be designed to answer the research question. The procedures should be rigorous and transparent, and should be able to withstand scrutiny from other researchers.
5. Ethical considerations: The research design should take into account ethical considerations, including informed consent, privacy, and confidentiality. The study should be designed to minimize any potential harm or discomfort to participants, and should adhere to relevant ethical guidelines and regulations.
There are several different types of research design, each with its own strengths and weaknesses. Some of the most common types of research design include:
1. Experimental design: This type of research design involves manipulating one or more variables to determine their effect on an outcome. Experimental designs are often used to test causal hypotheses, and are characterized by random assignment of participants to conditions.
2. Quasi-experimental design: This type of research design is similar to experimental design, but does not involve random assignment of participants to conditions. Quasi-experimental designs are often used when random assignment is not possible, such as when studying naturally occurring groups.
3. Correlational design: This type of research design involves measuring the degree of association between two or more variables. Correlational designs are often used to examine relationships between variables that cannot be manipulated.
4. Survey design: This type of research design involves collecting data through questionnaires or interviews. Survey designs are often used to collect large amounts of data from a representative sample of the population.
5. Case study design: This type of research design involves studying a single individual or group in depth. Case studies are often used to gain insight into complex phenomena, and are characterized by detailed data collection and analysis.
Overall, research design is a critical component of the research process, and should be carefully considered and planned in order to ensure that the study is conducted in a rigorous and systematic manner. By choosing appropriate research methods and procedures, and designing the study to minimize bias and maximize accuracy, researchers can produce reliable and valid findings that contribute to our understanding of the world.
One of the common mistakes fledgling researchers commit is collapsing the terms “research method” and “research methodology” together. In other words, some scholars confused research method with research methodology. Of course, the two are not the same, and understanding their difference is of paramount importance in research as it does not only show that we, as researchers, have a strong grasp of the basics in research but it also helps us come up with a proper research design.
On the one hand, a research method is the logic of how a scholar arrives at a valid and reliable knowledge. In other words, a research method is the strategy employed in the collection of data or evidence for analysis to uncover new information or arrive at a better understanding of a particular topic. So, a research method is the tool used in carrying out the research. For example, a researcher may employ a qualitative research method in determining the lived experiences of Libyan nurses assigned during wartime.
Research methodology, on the other hand, is the justification for using a particular research method. In other words, a research methodology is the “plan” that explains why, as in the example above, a qualitative research method is employed in determining the lived experiences of Libyan nurses assigned during wartime.
The research methodology, therefore, is the theoretical positioning of the research, while research method is the “doing” of the research itself. The former, therefore, is viewed as the body of knowledge which attempts to explain or understand how a research is done, while the latter refers to the specific process or steps that the researcher may follow in undertaking the study.
Let us use the simple analogy of “constructing a building” to explain the difference between these two terms. Research methodology is the “construction plan” itself, while research method is the “actual” construction of the building, which includes the tools and other materials needed for the construction of the building. This explains why in the actual thesis or thesis proposal, a chapter on data gathering process is commonly titled “Research Methodology” as it contains the entire plan in collecting and analyzing data, while the body of this chapter contains the specificity of the research method, such as using interviews or surveys in data gathering.
In this article, we will discuss the meaning, characteristics, and types of research methods.
Meaning of Research Method:
Research method is the systematic and scientific approach used to conduct research. It is a set of procedures used to collect and analyze data in order to generate new knowledge or to answer specific research questions. The research method involves the following steps:
1. Defining the research problem: This is the first step in the research method. It involves identifying a problem that needs to be investigated or a question that needs to be answered.
2. Formulating the research question: This step involves developing a research question or hypothesis that will guide the research.
3. Designing the research study: This step involves deciding on the research design, data collection methods, and analysis techniques.
4. Collecting data: This step involves gathering data using the selected data collection methods.
5. Analyzing data: This step involves using statistical analysis or other techniques to analyze the data.
6. Drawing conclusions: This step involves interpreting the data and drawing conclusions based on the findings.
Characteristics of Research Method:
1. Systematic: Research method involves a systematic approach to data collection and analysis. The researcher follows a set of procedures that are designed to ensure that the data collected is valid and reliable.
2. Objective: Research method is an objective process. The researcher attempts to collect data that is unbiased and free from personal opinion or bias.
3. Empirical: Research method is an empirical process. It is based on observations and data that can be measured and analyzed.
4. Replicable: Research method is a replicable process. Other researchers should be able to replicate the study using the same procedures and methods.
5. Quantifiable: Research method involves the collection of data that can be quantified and analyzed using statistical methods.
6. Logical: Research method involves the use of logical reasoning and analysis to draw conclusions based on the data collected.
Types of Research Method:
There are two main types of research methods: qualitative research and quantitative research.
Qualitative research: Qualitative research is a research method that involves the collection and analysis of non-numerical data such as interviews, observations, and case studies. The goal of qualitative research is to understand the subjective experiences and perspectives of individuals.
Qualitative research is typically used in fields such as anthropology, sociology, psychology, and education. Qualitative research involves the following characteristics:
1. Focuses on the subjective experiences of individuals.
2. Collects non-numerical data such as interviews, observations, and case studies.
3. Uses qualitative analysis techniques to analyze the data.
4. Does not use statistical analysis.
5. Seeks to understand complex phenomena in a holistic way.
Quantitative research: Quantitative research is a research method that involves the collection and analysis of numerical data. The goal of quantitative research is to test hypotheses and to draw conclusions based on statistical analysis.
Quantitative research is typically used in fields such as medicine, economics, and psychology. Quantitative research involves the following characteristics:
1. Focuses on numerical data.
2. Collects data using standardized procedures.
3. Uses statistical analysis techniques to analyze the data.
4. Seeks to generalize findings to a larger population.
5. Tests hypotheses using statistical methods.
In conclusion, research method is a crucial tool for generating new knowledge and answering research questions in a systematic and scientific manner. It involves a series of steps, including defining the research problem, formulating the research question, designing the research study, collecting data, analyzing data, and drawing conclusions. Research method is characterized by its systematic, objective, empirical, replicable, quantifiable, and logical approach to data collection and analysis. These characteristics ensure that the research is valid, reliable, and free from personal bias or opinion. There are two main types of research methods: qualitative research and quantitative research. Qualitative research focuses on understanding the subjective experiences and perspectives of individuals through the collection and analysis of non-numerical data. Quantitative research, on the other hand, focuses on testing hypotheses and drawing conclusions based on statistical analysis of numerical data. Ultimately, the use of research method allows researchers to gather and analyze data in a rigorous and structured manner, leading to the production of new knowledge that can be used to inform decisions and policies in various fields.
Qualitative research is an approach to research that focuses on understanding the subjective experiences and perspectives of individuals and groups. It is a method of inquiry that is used in many different fields, including sociology, anthropology, psychology, and education. Unlike quantitative research, which focuses on numerical data and statistical analysis, qualitative research is concerned with exploring and interpreting the meanings that people attach to their experiences and behaviors.
The main aim of qualitative research is to gain a deep understanding of the social or cultural phenomenon under investigation, and to do so in a way that is sensitive to the unique perspectives of those involved. This often involves collecting data through a variety of methods, including interviews, focus group discussions, observations, and document analysis.
One of the key features of qualitative research is its emphasis on the researcher’s role in the research process. Qualitative researchers acknowledge that their own biases and perspectives can influence the data they collect and the analysis they conduct. As such, they strive to be reflexive and transparent about their own positionality, and to engage in ongoing critical reflection throughout the research process.
Another important feature of qualitative research is its flexibility. Qualitative researchers are open to adjusting their research questions, methods, and analysis as they gather new information and insights. This allows them to be responsive to the unique features of the research context, and to develop a rich and nuanced understanding of the phenomenon under investigation.
Qualitative research often involves collecting data through in-depth interviews with participants. These interviews are typically semi-structured, meaning that the researcher has a set of broad questions to guide the conversation, but is also able to follow up on interesting or unexpected responses. The goal of these interviews is to gather detailed information about the participant’s experiences, perspectives, and behaviors, and to do so in a way that allows them to share their views in their own words.
Another common method used in qualitative research is participant observation. This involves the researcher immersing themselves in the social or cultural context being studied, and observing the behavior and interactions of the people involved. This approach allows the researcher to gain an insider’s perspective on the phenomenon under investigation, and to observe how people interact with each other and their environment in real time.
Focus groups are another method often used in qualitative research. Focus groups involve bringing together a small group of participants to discuss a specific topic or issue. The researcher typically acts as a facilitator, guiding the conversation and encouraging participants to share their thoughts and opinions. This approach can be useful for exploring group dynamics and social norms, and for identifying common themes and perspectives across a group of people.
Document analysis is another method commonly used in qualitative research. This involves analyzing documents such as texts, images, or videos to gain insights into the social or cultural phenomenon under investigation. This approach can be particularly useful for studying historical or archival materials, or for analyzing media representations of a particular issue.
Once data has been collected, qualitative researchers engage in a process of analysis to identify patterns and themes in the data. This often involves a process of coding, where the researcher systematically identifies and categorizes different types of data based on their meaning or significance. These codes are then grouped together into broader themes or categories, which are used to develop a deeper understanding of the phenomenon under investigation.
One of the strengths of qualitative research is its ability to generate rich and detailed descriptions of social and cultural phenomena. By focusing on the subjective experiences and perspectives of individuals and groups, qualitative research can provide insights into the complexity and nuance of human behavior and social interactions.
However, one of the criticisms of qualitative research is that it can be difficult to generalize findings to larger populations. Because qualitative research typically involves small samples and in-depth analysis of specific contexts, it can be difficult to draw broader conclusions about the social or cultural phenomenon being studied.
In conclusion, qualitative research is an important approach to research that allows for a deep and nuanced understanding of social and cultural phenomena. By focusing on the subjective experiences and perspectives of individuals and groups, qualitative research can reveal insights that would be missed by other methods.
One of the key strengths of qualitative research is its flexibility. Qualitative researchers are open to adjusting their research questions, methods, and analysis as they gather new information and insights, allowing them to be responsive to the unique features of the research context.
Another strength of qualitative research is its emphasis on the researcher’s role in the research process. Qualitative researchers acknowledge that their own biases and perspectives can influence the data they collect and the analysis they conduct, and strive to be reflexive and transparent about their positionality.
Despite its many strengths, qualitative research does have some limitations. It can be difficult to generalize findings to larger populations, and the in-depth analysis of specific contexts may not be applicable to other settings.
Overall, qualitative research is a valuable approach to research that provides a rich and detailed understanding of social and cultural phenomena. When used in conjunction with other methods, it can provide a more complete picture of the complex and multifaceted nature of human behavior and interactions.
Types of Qualitative Research Methodor Design
Some of the common types of qualitative research methods or designs are the following:
1) historical research design,
2) archival research design,
3) oral history research design,
4) ethnolinguistic research design,
5) case study,
6) process documentation research design,
7) ethnographic research design, and
8) naturalistic research design.
Let me briefly discuss the meaning, nature and dynamics of these types of qualitative research designs.
Historical Research Design
Recent trends in historical research in education include seeing education as broader than schooling, viewing school systems in the context of social and economic development, and studying the history of elite intentions and actions. Historical research methods in education make possible the making of broader generalizations about the past, of judgments about its relation to the present, and of predictions about the future.
Examples of historical studies in education include the examination of length of schooling among different social groups by calculating the school-entry and school-leaving ages of different students in sample years, patterns of school attendance, years of schooling, and school expenditures, the different experiences of different social groups, and the impact of schooling on later life in different historical periods.
There is also a need for historical research on popular attitudes, quality of educational experience in the past, and intellectual and institutional history of education.
Archival Research Design
Primary sources of information concerning Philippine history are found in different archives in the Philippines and abroad. Archival research enables a historian to uncover ever new reinterpretations of historical reality.
Oral History Research Design
This is a form of historical activity, a first-hand reminiscence of historical events through the intervention of the historian. It records, for posterity, intimate primary knowledge and experience of individuals prominent in various fields, or those in positions of authority about certain topics, institutions, or about their own lives. This type of research method involves tape recording interview, transcribing them into typescripts, and checking for accuracy by the interviewer and the interviewee.
Ethnolinguistic Research Design
This is a research method which use language in the study of human groups. It deals with description of an ethnic group using linguistic tool. It is a tool for studying changes in meanings, beliefs, values, and codes, that is, the collective conscious and unconscious mind of a human group. According to some scholars, ethnolinguistic research method suggests studies to infer something about the culture and the life of the early ethnic group based on the memoirs of the early ethnographers and the grammar, observations, doctrines, and accounts of apostolic work by the early missionaries.
Case Study Research Design
A case study is a thick description of the interpretation, explanation, understanding, and prediction of an individual, group, or phenomenon obtained through in-depth investigation of the focus of interest.
Types of Case Study
Ethnographic case study which involves single in-depth study, usually through participant observation and interview.
Action research case study which focuses on bringing about change in the case under study.
Evaluative case study which involves the evaluation of programs.
Educational case study which is designed to enhance understanding of education actions.
Process Documentation Research
This is a useful tool for evolving a program based on a new intervention strategy. An example of this research method is the intervention strategy employed by the National Irrigation Agency (government agency in-charge of developing and assisting national and communal irrigation systems in the Philippines) whereby farmers got involved in the planning, design, and construction of their communal irrigation system. This resulted in the development or strengthening of the skills and structures of farmers’ association for system operations and maintenance.
Ethnographic Research Design
This research method is grounded on anthropology. Data are gathered through unstructured interviews, participant observation, and field notes. Other sources of data include the use of documents, records, photography, maps, genealogies, and social network diagrams. Research questions in ethnographic research method are descriptive in nature. This includes questions on values, beliefs, and practices of a cultural group.
Ethnographic research method involves describing and interpreting events that occur within the life of a group, with special attention to social structures and behaviors of individuals with respect to group membership. They are particularly appropriate for empirical research on a school, classroom, family, social organizations, or ethnic communities.
Naturalistic Research Design
Naturalistic inquiry is a more general term for ethnography, sociological field methods, case study methods, participant observation, ecological psychology, and psychodynamic social psychology. It involves extensive study of a case (for example, a group, institutions, communities, programs, and social systems) over an extended period of time. Points of interest here include not only the case itself, but also the ecology, context, or milieu in which it exists. And the researcher exposes herself directly with the case and is solely responsible for gathering and interpreting data.
Unlike experimental studies, naturalistic inquiry does not introduce any intervention, but instead studies the natural occurrence of events where they are found. Furthermore, the meaning of the constructs or ideas to be studied is not arbitrarily fixed or operationalized in advance of data collection. Instead, the researcher attempts to elicit the multiple meanings about those ideas that are upheld by each person. Similarly, hypotheses are neither derived from theory nor stated in advance. Rather, explanations about the relationships among variables come from the data rather than from preexisting theories.
Data collection in naturalistic inquiry typically centers on in-depth, open-ended interviews, direct observations, examination of documents, and community studies. Quantitative data are not avoided. During data collection, copious notes are kept, including verbatim accounts of what was observed and the responses of the interviewees. Interpretation and analysis of data are done as soon as data collection began.
It is important to note that the report of the naturalistic inquiry does not rely on statistics, graphs, or abstract models, but on the language familiar to the reader and the images that evoke readers’ association. What are important here are the precise use of language, rich description, and clear presentation of ideas to produce vicarious experiences for readers who could not be there themselves.
Criteria in doing Naturalistic Research
Scholars listed eight criteria that should be observed in naturalistic research, namely:
1) duration,
2) scope,
3) ethics,
4) logic,
5) verification,
6) stance of the researcher,
7) writing, and
8) contribution to knowledge
The researcher should be in direct contact with the case sufficiently enough to become thoroughly familiar with all its aspects and context (duration). The case study should be studies extensively (scope). The researcher should maintain the confidentiality and protection of the site and the informants (ethics). There should be an internal logical fit between the data in the data record and the ideas or analysis that purports to come from them (verification). The researcher should maintain dispassionate distance from the case, or at least clearly identify their prejudices (stance of the researcher). The report should have been written effectively and provide a pleasing piece of writing (writing). Lastly, it should contribute to knowledge regarding psychological and social ideas that the information yields (contribution to knowledge).
Limitations of Naturalistic Inquiry
Scholars listed some limitations of the naturalistic inquiry. For one, naturalistic inquiry is labor intensive because it requires prolonged exposure to the case. The researcher’s biases or prejudices may also influence the outcome of the study. Furthermore, a researcher with a low level of energy or intellectual ability might miss subtle but significant patterns of behaviors or events. And lastly, establishing causality and generalizing results are not possible with this research.
The research plan, which is also called “research proposal” before acceptance by competent authority, is a scholarly paper. As is well-known, it must conform to accepted conventions of academic and scientific procedure. It is expected to show evidence of intelligent grasp of the problem being proposed for solution, and fields related to it. It must also present appropriate and valid method and procedure for the solution of the problem.
Allowing for certain variations due to preferences of scholars, disciplines, and institutions, a research plan generally contains the following:
1) The title of the personal study,
2) Statement of the problem,
3) Review of related literature, and
4) Scope and limitation of the study,
5) Importance or significance of the study,
6) Definition of terms, and theoretical framework,
7) Methods and procedure,
8) Bibliography.
The Title
The title of the research plan should be brief but descriptive and comprehensive. The title should also be an adequate index to the key contents of the following: 1) the statement of the problem, 2) the method(s) used, and 3) the expected or hypothetical conclusion(s).
Although it is the first to appear on the research plan, it can remain tentative until the problem and methodology have been clearly formulated. (See also W. C. Campbell & S. V. Ballou, Form and Style: Theses, Reports, Term Papers, 4th ed., Boston, USA: Houghton Miffin, 1974, p. 15).
The Statement of the Problem
The statement of the problem is the part of the research plan, which contains two parts, namely: 1) a careful exposition of an area involving significant problems, and how such problems affect knowledge in the given discipline, and 2) a clear and concise statement of the problem. The first is an essay that demonstrates the researcher’s intelligent and broad grasp of the key problem currently confronting her discipline. The second is a clear statement of the question(s) to be answered or hypothesis to be tested.
The statement of the problem in experimental research is usually in the form of a hypothesis or a series of related hypotheses which call for proof or disproof. Other types of research require that the problem be stated categorically in the form of a question or series of related questions. In case a question needs further specification by means of sub-questions, care is to be taken that the sub-questions are all comprehended by the primary question. Multiple questions and questions which add new problems not expressed or implied in the primary question must be avoided. (See Campbell & Ballou, p. 18).
It must be remembered that the statement of the problem is not the same with the statement of the purpose of the study. The first is the question to be answered, while the second is the reason for answering the question.
A good statement of the problem must be consistent with the title and the methods and procedure to be used in the research.
Review of Related Literature
It is assumed that before the researcher starts making the research plan, she has read many important works related to the proposed study. The aims of the review of related literature are:
1) to show that the researcher is familiar with key ideas in his field of study;
2) to show that the knowledge in the field is incomplete, unreliable, or both; and
3) to show that the findings of the proposed study will: a) add to, b) supplement,
and/or c) correct present knowledge.
The tone and tenor of the review of related literature are both expository and evaluative or critical.
The materials subject to review under this heading are both published and unpublished materials containing anything that have some pertinence to the proposed subject of study. These include books, periodicals, documents, theses, dissertations, and all papers that are conventionally regarded among scholars as disciplinary literature. This explains why it is redundant to say “literature and studies” because the term “literature” includes all studies, which are on record and reported.
Scope and Limitation of the Study
The scope of the study refers to the
1) specific source(s) of information, and
2) time involved in the study.
Since the scope of the study directly affect the validity of the conclusion derived from it, it may be assumed that a study that has no specifically defined scope and limitation of sources and time cannot lead to a definite and valid generalization and/or conclusion.
The limitation of the study refers to shortcoming or source of weakness of the study. The honest researcher must admit the weakness or limitation of any aspect of her investigation or her tools of investigation, and source of information. This fundamental rule is required by intellectual honesty. For example, using translation as reference due to one’s lack of proficiency in the original language of the source is a limitation of the investigator. Limitations that are so great as to cause doubt concerning the validity or conclusion of the study invalidate a research plan.
Significance of the Study
The significance of the study is generally of two kinds, namely, 1) the significance of the expected findings of the study to the specific discipline to which the study belongs, and 2) the benefit that human world may derive from the findings. Evidence of significance on the first level is generally sufficient. Significance of the second level if not discreetly put tends to be pretentious and violates the modesty generally expected of scholars. It is, therefore, generally best to convince the reader that the answer(s) one is trying to discover are important mainly to one’s line of study, and leave the “earth-shaking” value of the study understated or implied.
Research on the graduate school level is expected to show evidence of 1) mastery of scientific and rational methods of arriving at conclusions, and 2) actual contribution of new knowledge to the pool of human knowledge. Unless the study meets this requirement, the study is not significant, and this could imply that the student fails even in the first.
Definition of Terms and Theoretical Framework
The theoretical framework of the study is stated here. This is the place to present 1) the assumption of the study, that is, proposition regarded are true and therefore not requiring proof in the proposed research, and 2) the definition of key terms.
It is usual that scholars or researchers work within the framework of a discipline, which have generally accepted principles or law which need simply to be assumed as true, and within whose framework the researcher performs his reflected thinking. This means placing the proposed study in the context of a specific school of thought in the researcher’s field of study. It may also require statement of ideas already proved satisfactory by other or previous researchers.
When the theoretical framework in the form of assumptions has been completed, key terms, especially those that are used in a particular or unusual sense, are defined. Operational definitions are preferred. Sources of definitions are properly indicated. Definitions not indicated as having been borrowed from sources are assumed to belong to the author of the research plan.
Operational definitions reduce abstract terms (for example, education) to concrete or quantifiable or measurable terms. The term “development”, for example, is defined operationally as “getting people to know, desire, and be capable of doing better things”. Operational definitions are always in a framework of a study.
Methods and Procedure
Methods refer to the set of procedures or steps to be undertaken for discovering knowledge with reference to the time setting of the truth to be known, that is, the past, present, and the future.
Truth of the past is historical. That of the present is described or pictured. And that of the future can be experimented, that is, create a situation whereby an unknown truth can be observed under controlled conditions. Therefore, there are three methods in general use in the scholarly world.
One method may be used, or where necessary, a combination of all three. But the use of these in combination must be done with great care so that it is always clear when each of the methods is being used, especially in the writing of the research report.
In certain disciplines, such as Literature and Philosophy, textual studies are usual. Studies of text are historical because the ordinary aim of this type of study is to arrive at the original intent of the author insofar as this is possible. This involved an attempt to situate words in their historical or biological context, with reference to their import at the time and place the document was written.
In the research plan, it is sufficient to indicate which method is proposed to be used.
Procedures are sub-items under methods. They are steps in logical or chronological sequence which are seen as an organized system of steps toward the discovery of truth, which involve 1) analyzing, 2) classifying, 3) comparing, 4) narrating, and 5) making conclusions regarding what causes produced what effects. One should not confuse method with the steps in a method.
After the procedures have been presented, a proposed outline of the expected report (for example, thesis, dissertation, and term paper) is presented. This outline shows clearly the proposed titles and subsections under each title. Parts or chapters are presented in their expected final sequence which indicate how the successive parts lead to the findings and conclusion.
Bibliography
This is a systematic listing of all available references in libraries, archives, collections, and in other sources. Exhaustiveness is ideal. Although last in the research plan, it is the first to be done in the order of procedure and time. This is because before anyone can formulate a title or problem for the research plan, one has to know whether there are available sources, or whether there already exist and completed studies covering the same area and problem. The way to discover the sources is to look for them wherever they may be an make a listing of these sources.
Final Note: Sometimes, a research plan or proposal may be presented for evaluation in order to secure funding. When this is the case, two things must be added to the foregoing parts: 1) a timetable indicating the schedule of research activities and the time each step in the research is expected to be completed, and 2) a statement of expenses properly itemized to indicate which amount is for which activity, and for which logistics (that is, tools, equipment, instruments, postage, and the like) and related expenses, such as salaries and publication expenses. It is important to note that the budget is not only itemized but also justified.
Quantitative research is a type of research method that is used to collect and analyze numerical data. The data is collected through structured and standardized research instruments, such as surveys, questionnaires, and experiments. This type of research involves statistical analysis to test hypotheses and draw conclusions about a population.
The following are some of the key characteristics of quantitative research:
1. Use of measurable data:
Quantitative research relies on measurable data, which can be analyzed using statistical methods. This data is typically collected using standardized research instruments, such as questionnaires or surveys. The data can be analyzed using statistical techniques, such as regression analysis, correlation analysis, or factor analysis, to test hypotheses and draw conclusions.
2. Use of statistical analysis:
Quantitative research uses statistical analysis to analyze the data. This analysis helps researchers to test hypotheses and determine whether the results are statistically significant. Statistical analysis also allows researchers to draw inferences about a population from a sample of data.
3. Use of a large sample size:
Quantitative research often uses a large sample size to ensure that the results are representative of the population being studied. The sample size should be large enough to minimize the effects of sampling error and to ensure that the results are reliable and generalizable.
4. Use of standardized research instruments:
Quantitative research uses standardized research instruments, such as surveys or questionnaires, to collect data. These instruments are designed to ensure that the data collected is valid and reliable. Standardization ensures that the data is collected in a consistent and systematic manner.
5. Use of objective measurements:
Quantitative research relies on objective measurements of variables. This means that the variables being measured are defined in a way that can be objectively quantified. Objective measurements help to ensure that the results are valid and reliable.
6. Focus on causality:
Quantitative research often focuses on determining causality between variables. Researchers are interested in determining whether changes in one variable cause changes in another variable. This is typically done through experimental research designs, where the researcher manipulates one variable and measures the effect on another variable.
7. Use of deductive reasoning:
Quantitative research uses deductive reasoning to test hypotheses. Deductive reasoning involves starting with a theory or hypothesis and then testing it through empirical observation. This allows researchers to make predictions about the relationship between variables and to test those predictions through statistical analysis.
8. Emphasis on objectivity:
Quantitative research emphasizes objectivity in the research process. This means that the researcher should remain neutral and impartial throughout the research process. Researchers must avoid introducing their own biases or values into the research process to ensure that the results are objective and reliable.
In conclusion, quantitative research is a powerful research method that is used to collect and analyze numerical data. This type of research relies on measurable data, statistical analysis, a large sample size, standardized research instruments, objective measurements, a focus on causality, deductive reasoning, and an emphasis on objectivity. By carefully designing and conducting quantitative research studies, researchers can gain valuable insights into the complex and multifaceted nature of human behavior.
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In this lecture notes, I will briefly explain the nature and dynamics of the “Self” according to Immanuel Kant. But it must be noted at the outset that Kant’s concept of the self is very difficult to systematize because in the first place, Kant himself did not fully develop this concept. This is partly because Kant’s concept of the self serves only as the foundation of his moral theory. In fact, for Kant, the human person as a rational moral agent is the sole basis in determining the truth of the categorical imperative.
Indeed, behind the formal ethical façade of Kant’s categorical imperative is the attempt of the human person to achieve moral perfection. Hence, we can surmise that the ultimate goal of Kant’s moral teachings is for the human person to become morally perfect. And for this reason, it can be argued that anybody who wants to study Kantian ethics should first and foremost understand Kant’s concept of the self as the anthropological basis of his moral teachings.
So, how does Kant view the self?
According to Kant, the human person has a two-fold nature, namely:
1) homo noumenon and
2) homo phaenomenon
On the one hand, the term noumenon, which is derived from Kant’s epistemology, refers to the essence of things. For Kant, the noumenon is the thing-in-itself (das Ding an sich). According to Kant, the noumenon cannot be known because, as the essence of things, it is beyond experience. For example, as Kant would have us believe, we cannot know the “tableness” of the table, or that which makes a table really “a table”. Later on, Hegel argues that there is no such thing as “thing-in-itself” or the “tableness” of the table. For Hegel, what reason knows is all there is to know.
On the other hand, the term phaenomenon, according to Kant, refers to the thing as it appears to the observer. In other words, the phaenomenon is the empirical part of a thing. It is indeed that part of a thing that can be experienced by humans. The hardness, texture, color, and shape of a table are all that we can know about the table. For Kant, they are the phaenomenal aspects of the table.
For Kant, therefore, everything that exists has two natures, namely:
1) the non-empirical part (noumenon or essence) and
2) the empirical part (phaenomenon).
Applied to humans, the homo noumenon for Kant is the godlike self of the human person which comprises the psychological state and intellect, while the homo phaenomenon is the merely human self or, simply, the physical self.
Now, it is important to note that when it comes to Kantian ethics, the phaenomenal self is dropped from the equation. This is because the homo phaenomenon is the animal or instinctual aspect of the human person. Therefore, it cannot be put under moral obligation. Just think, for example, of how ridiculous it is to sue a cat for stealing your food. So, when it comes to Kantian ethics, we only talk about the homo noumenon or the “godlike self”. However, the phaenomenal self is equally important if we talk about the “self” in itself because one cannot be a complete self without it. In fact, according to Kant, we humans have both an inner self and an outer self which allow us to become conscious. This is because the inner self comprises our psychological state and rational intellect, while our outer self comprises our senses and other instinctual functions. Again, it is just that when it comes to ethics, Kant focuses only on the noumenal self for the same reason already given.
If the homo phaenomenon cannot be put under moral obligation, Kant says that the homo noumenon or the noumenal self (or godlike self) can be put under moral obligation simply because it is the self that is endowed with “freedom”. The homo noumenon or the noumenal self, therefore, is a free agent. And it is this very idea of freedom that the noumenal self is said to have an “absolute inner worth”, a value which is beyond any price and which demands respect.
As a free agent, Kant says that the the noumenal self has two aspects, namely, 1) free choice (freie Willkür) and 2) will (Wille).
On the one hand, “free choice” is understood as the capacity of the self to act without being determined to do so by any external material forces. On the other hand, “will” is the capacity of the self to set forth unconditionally binding moral laws.
So, with free choice, the human person (and it must be noted that in Kantian philosophy, when we say the “human person” we mean the “noumenal self) can do whatever she wants to do. However, even if the human person can do whatever she wants to do, she may not always do whatever she wishes because of the self-imposed moral law promulgated by the will. For instance, because of free choice, the human person is free “to lie”, but because the will promulgated the moral law “not to lie”, then the human person or the self has to always tell the truth.
This now brings us to the idea that being true to one’s self is, for Kant, respecting one’s self. And for Kant, it is our duty to respect our own self because doing so is respecting humanity at the same time. This implies that if we violate our duty to respect our very own selves, then we fail somehow to give humanity the same respect it demands.
A concrete example of respecting one’ self is not to harm it by, say, not drinking too much alcohol or committing suicide. Needless to say, drinking too much alcohol will harm the body, which in the long run will ruin the entire person. In the case of suicide, if one kills herself, she is not only undermining her own “absolute inner worth” as a person but also the “absolute inner worth” of the entire human race.
Now, Kant believes that the noumenal self is the idealized person who is destined to be perfect since she has in herself the godlike nature as belonging to the world of understanding.
Logically then, we can infer that for Kant, the noumenal self is the human person’s real self. It is indeed the person’s true self. Since we have this godlike self, Kant believes that it is our duty to attain perfection by actualizing this godlike noumenal self. And according to Kant, we can attain perfection or we can actualize our godlike self by developing ourselves into moral persons, which can be done by obeying the command of the categorical imperative.
But how does the human person actualize her true self if she cannot know her noumenal self? The phaenomenal self can provide us the key.
Since the human person cannot know her noumenal self, then she must take into account the fact that part of her “self” belongs to the phaenomenal world, that she has a phenomenal self, a physical body so to speak. As already mentioned, this is the self that can be experienced by the senses. We can touch it, see it, smell it. We can even taste it if we like.
In this way, the human person can have an idea of her noumenal self. In simple terms, the body, which is the seat of reason or intellect, allows the self to think, analyze, understand, and interpret reality. The phenomenal self, therefore, serves as the springboard for the actualization of the noumenal self.
Lastly, because the phaenomenal self always appeals to “desires”, which, according to Kant, is the source of errors, it has to be guided by a moral principle based on reason. Thus, the human person as a rational being must also consider her “self” as belonging to the intelligible world if she hopes to attain perfection. This is where the categorical imperative comes in. As Tucker (1972, p. 35) argues, the noumenal self tries to actualize its godlike nature as the real self by obeying the dictate of reason through the categorical imperative.
