Different Ways of Doing Academic Research By Students By Alina Writer

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  There are many different facets of methodology that can be applied to an experimental design regarding academic research and essay writing. This statement is a generalization that can be made about these different types of approaches to academic research, which have their respective advantages and disadvantages. Surveys and experiments are examples of fixed research designs, which are more quantitative than qualitative and have more aspects of this type of theory. Quantitative studies tend to rely on hard data and statistics that can provide generalizable results about a population, whereas qualitative studies could be more of a case example or subjective viewpoint. As the extant literature states about the difference between fixed and flexible designs, "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". Generally, for academic research and essay writing, flexible designs offer benefits to research that can change as new variables come up throughout the process, whereas fixed or quantitative designs offer benefits to research that is about stabilizing and controlling a certain state of variables or predictions.

Proper academic research often employs the quantitative survey method. This methodology differs from explicit ethnography in that it is more rationalized and quantitative in nature, and primarily seeks to answer research questions through the proposition that scientific research cannot be proposed without substantive or grounded data to back it up. This makes the use of statistical information very popular with other type theorists, but getting statistics on the future is difficult, and therefore this is another appropriate reason for academic research to be covered in a quantitative manner, rather than grounded theory or qualitative methods. This will still have facets of scientific inquiry however, which relies on hypothesis testing, verification techniques, and quantitative forms of analysis. As Robson implies through the categorical division of validity issues in research, the categorization or coding process is just as important as the research itself in many cases: "Literature discussing similar findings is important as well because it ties together underlying similarities in phenomena normally not associated with each other. The result is often a theory with stronger internal validity, wider generalizability, and higher conceptual level". The stronger the validity of the question, the stronger the process will be in eventuality in terms of producing definite results.

Academic research may be interested in producing empirical data than attitudes and beliefs, but it all depends on the academic discipline. It may be better to do another type of assessment measure, but it also may behoove academic researchers to use quantitative methods, because these types of designs are more rigid, but they also offer researchers results that are often more solid and considered to be more scientifically credible. In some cases, researchers using more qualitative designs do not even want to be considered part of the scientific process. Research design defined generally is the form or framework the experimenter uses to get the results of the study. There are many different kinds of research designs, both qualitative and quantitative, and flexible designs represent qualitative for the most part, whereas fixed designs represent quantitative type studies.

Fixed research designs serve the purpose of showing causal motivations, observing present conditions and longitudinal comparisons, and establishing relationships with evidence from a sample size that is generally large or, in some cases, deferred to a larger statistical research body.

Alina Writer is an experienced academic tutor and scholar helping students in writing and editing of college essays. For more information about academic research, visit the Essay Writing Blog for students.

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The Best Ways of Doing Academic (Qualitative and Quantitative) Research By Simon Help

Approaching academic research, one can divide the ways of establishing a methodology for the research into two broad categories, in which there are many subcategories. These broad categories are those of qualitative and quantitative research. In qualitative research, there is more room for the researcher or academic to establish the subjectivity of their reportage, regarding the distance that is established between the researcher and the subject. For example, someone doing qualitative research may present a case study of four unemployed mothers, in order to provide research about the need for welfare reform. They have interviewed and presented these cases through their own subjective lens. Quantitative research, on the other hand, is more stringent regarding reliability and validity, and more likely to include numbers and statistics to prove or disprove an academic hypothesis. For example, someone doing quantitative research may research government unemployment records for a decade, and make a series of charts showing changes in health insurance coverage vs. changes in work status. "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". It is possible for an academic researcher to include elements of both qualitative and quantitative research in their methodology, which is called a mixed method.

As noted, qualitative and quantitative research categories are broad, and each contain many sub-categories and the possibility of mixed methodologies. From a perspective of ease and clarity, quantitative experiments are often more cost-effective, and seek to generally show the attitudes and beliefs of a given population, or segment of the population, regarding an established issue. Many academic researchers use survey research to find these attitudes and beliefs, because it introduces the subject of the mixed methodology when these survey results are presented in graph and chart forms. "Surveys can be classified by their method of data collection. Mail, telephone interview, and in-person interview surveys are the most common. Extracting data from samples of medical and other records is also frequently done. In newer methods of data collection, information is entered directly into computers". In today?s world, academic researchers may also conduct surveys over the internet or in instant message programs.

Conducting a mixed methodology research project, an academic researcher may also want to go the route of looking at conclusions drawn from existing research. This can be a qualitative or quantitative approach; the key is that the academic researcher uses the studies and research of others that is established, to make their own points. This type of method is sometimes called a meta-analysis, but in reality, it is more like an extended sort of literature review. The researcher supports or dissents regarding the points of other researchers, based on a past precedent.

Although there are many ways of approaching academic research, the two most common categories for research methodologies are qualitative and quantitative. Research can, however, have elements of both categories, and still be effective. Quantitative research may be higher in terms of reliability and validity for academic researchers, but may not bring across the human element of the research to the reader as well as qualitative research. This latter form of research, while presenting a more human face, may also be construed by the reader as being too subjective. In establishing a research methodology, the adept academic researcher may pick and choose from both quantitative and qualitative elements.

Different Ways of Doing Academic Research By Students By Alina Writer

There are many different facets of methodology that can be applied to an experimental design regarding academic research and essay writing. This statement is a generalization that can be made about these different types of approaches to academic research, which have their respective advantages and disadvantages. Surveys and experiments are examples of fixed research designs, which are more quantitative than qualitative and have more aspects of this type of theory. Quantitative studies tend to rely on hard data and statistics that can provide generalizable results about a population, whereas qualitative studies could be more of a case example or subjective viewpoint. As the extant literature states about the difference between fixed and flexible designs, "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". Generally, for academic research and essay writing, flexible designs offer benefits to research that can change as new variables come up throughout the process, whereas fixed or quantitative designs offer benefits to research that is about stabilizing and controlling a certain state of variables or predictions.

Proper academic research often employs the quantitative survey method. This methodology differs from explicit ethnography in that it is more rationalized and quantitative in nature, and primarily seeks to answer research questions through the proposition that scientific research cannot be proposed without substantive or grounded data to back it up. This makes the use of statistical information very popular with other type theorists, but getting statistics on the future is difficult, and therefore this is another appropriate reason for academic research to be covered in a quantitative manner, rather than grounded theory or qualitative methods. This will still have facets of scientific inquiry however, which relies on hypothesis testing, verification techniques, and quantitative forms of analysis. As Robson implies through the categorical division of validity issues in research, the categorization or coding process is just as important as the research itself in many cases: "Literature discussing similar findings is important as well because it ties together underlying similarities in phenomena normally not associated with each other. The result is often a theory with stronger internal validity, wider generalizability, and higher conceptual level". The stronger the validity of the question, the stronger the process will be in eventuality in terms of producing definite results.

Academic research may be interested in producing empirical data than attitudes and beliefs, but it all depends on the academic discipline. It may be better to do another type of assessment measure, but it also may behoove academic researchers to use quantitative methods, because these types of designs are more rigid, but they also offer researchers results that are often more solid and considered to be more scientifically credible. In some cases, researchers using more qualitative designs do not even want to be considered part of the scientific process. Research design defined generally is the form or framework the experimenter uses to get the results of the study. There are many different kinds of research designs, both qualitative and quantitative, and flexible designs represent qualitative for the most part, whereas fixed designs represent quantitative type studies.

Fixed research designs serve the purpose of showing causal motivations, observing present conditions and longitudinal comparisons, and establishing relationships with evidence from a sample size that is generally large or, in some cases, deferred to a larger statistical research body.

Different Ways of Doing Academic Research By Students By Alina Writer

There are many different facets of methodology that can be applied to an experimental design regarding academic research and essay writing. This statement is a generalization that can be made about these different types of approaches to academic research, which have their respective advantages and disadvantages. Surveys and experiments are examples of fixed research designs, which are more quantitative than qualitative and have more aspects of this type of theory. Quantitative studies tend to rely on hard data and statistics that can provide generalizable results about a population, whereas qualitative studies could be more of a case example or subjective viewpoint. As the extant literature states about the difference between fixed and flexible designs, "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". Generally, for academic research and essay writing, flexible designs offer benefits to research that can change as new variables come up throughout the process, whereas fixed or quantitative designs offer benefits to research that is about stabilizing and controlling a certain state of variables or predictions.

Proper academic research often employs the quantitative survey method. This methodology differs from explicit ethnography in that it is more rationalized and quantitative in nature, and primarily seeks to answer research questions through the proposition that scientific research cannot be proposed without substantive or grounded data to back it up. This makes the use of statistical information very popular with other type theorists, but getting statistics on the future is difficult, and therefore this is another appropriate reason for academic research to be covered in a quantitative manner, rather than grounded theory or qualitative methods. This will still have facets of scientific inquiry however, which relies on hypothesis testing, verification techniques, and quantitative forms of analysis. As Robson implies through the categorical division of validity issues in research, the categorization or coding process is just as important as the research itself in many cases: "Literature discussing similar findings is important as well because it ties together underlying similarities in phenomena normally not associated with each other. The result is often a theory with stronger internal validity, wider generalizability, and higher conceptual level". The stronger the validity of the question, the stronger the process will be in eventuality in terms of producing definite results.

Academic research may be interested in producing empirical data than attitudes and beliefs, but it all depends on the academic discipline. It may be better to do another type of assessment measure, but it also may behoove academic researchers to use quantitative methods, because these types of designs are more rigid, but they also offer researchers results that are often more solid and considered to be more scientifically credible. In some cases, researchers using more qualitative designs do not even want to be considered part of the scientific process. Research design defined generally is the form or framework the experimenter uses to get the results of the study. There are many different kinds of research designs, both qualitative and quantitative, and flexible designs represent qualitative for the most part, whereas fixed designs represent quantitative type studies.

Fixed research designs serve the purpose of showing causal motivations, observing present conditions and longitudinal comparisons, and establishing relationships with evidence from a sample size that is generally large or, in some cases, deferred to a larger statistical research body.

The Best Ways of Doing Academic (Qualitative and Quantitative) Research By Simon Help

Approaching academic research, one can divide the ways of establishing a methodology for the research into two broad categories, in which there are many subcategories. These broad categories are those of qualitative and quantitative research. In qualitative research, there is more room for the researcher or academic to establish the subjectivity of their reportage, regarding the distance that is established between the researcher and the subject. For example, someone doing qualitative research may present a case study of four unemployed mothers, in order to provide research about the need for welfare reform. They have interviewed and presented these cases through their own subjective lens. Quantitative research, on the other hand, is more stringent regarding reliability and validity, and more likely to include numbers and statistics to prove or disprove an academic hypothesis. For example, someone doing quantitative research may research government unemployment records for a decade, and make a series of charts showing changes in health insurance coverage vs. changes in work status. "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". It is possible for an academic researcher to include elements of both qualitative and quantitative research in their methodology, which is called a mixed method.

As noted, qualitative and quantitative research categories are broad, and each contain many sub-categories and the possibility of mixed methodologies. From a perspective of ease and clarity, quantitative experiments are often more cost-effective, and seek to generally show the attitudes and beliefs of a given population, or segment of the population, regarding an established issue. Many academic researchers use survey research to find these attitudes and beliefs, because it introduces the subject of the mixed methodology when these survey results are presented in graph and chart forms. "Surveys can be classified by their method of data collection. Mail, telephone interview, and in-person interview surveys are the most common. Extracting data from samples of medical and other records is also frequently done. In newer methods of data collection, information is entered directly into computers". In today?s world, academic researchers may also conduct surveys over the internet or in instant message programs.

Conducting a mixed methodology research project, an academic researcher may also want to go the route of looking at conclusions drawn from existing research. This can be a qualitative or quantitative approach; the key is that the academic researcher uses the studies and research of others that is established, to make their own points. This type of method is sometimes called a meta-analysis, but in reality, it is more like an extended sort of literature review. The researcher supports or dissents regarding the points of other researchers, based on a past precedent.

Although there are many ways of approaching academic research, the two most common categories for research methodologies are qualitative and quantitative. Research can, however, have elements of both categories, and still be effective. Quantitative research may be higher in terms of reliability and validity for academic researchers, but may not bring across the human element of the research to the reader as well as qualitative research. This latter form of research, while presenting a more human face, may also be construed by the reader as being too subjective. In establishing a research methodology, the adept academic researcher may pick and choose from both quantitative and qualitative elements.

Different Ways of Doing Academic Research By Students By Alina Writer

There are many different facets of methodology that can be applied to an experimental design regarding academic research and essay writing. This statement is a generalization that can be made about these different types of approaches to academic research, which have their respective advantages and disadvantages. Surveys and experiments are examples of fixed research designs, which are more quantitative than qualitative and have more aspects of this type of theory. Quantitative studies tend to rely on hard data and statistics that can provide generalizable results about a population, whereas qualitative studies could be more of a case example or subjective viewpoint. As the extant literature states about the difference between fixed and flexible designs, "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". Generally, for academic research and essay writing, flexible designs offer benefits to research that can change as new variables come up throughout the process, whereas fixed or quantitative designs offer benefits to research that is about stabilizing and controlling a certain state of variables or predictions.

Proper academic research often employs the quantitative survey method. This methodology differs from explicit ethnography in that it is more rationalized and quantitative in nature, and primarily seeks to answer research questions through the proposition that scientific research cannot be proposed without substantive or grounded data to back it up. This makes the use of statistical information very popular with other type theorists, but getting statistics on the future is difficult, and therefore this is another appropriate reason for academic research to be covered in a quantitative manner, rather than grounded theory or qualitative methods. This will still have facets of scientific inquiry however, which relies on hypothesis testing, verification techniques, and quantitative forms of analysis. As Robson implies through the categorical division of validity issues in research, the categorization or coding process is just as important as the research itself in many cases: "Literature discussing similar findings is important as well because it ties together underlying similarities in phenomena normally not associated with each other. The result is often a theory with stronger internal validity, wider generalizability, and higher conceptual level". The stronger the validity of the question, the stronger the process will be in eventuality in terms of producing definite results.

Academic research may be interested in producing empirical data than attitudes and beliefs, but it all depends on the academic discipline. It may be better to do another type of assessment measure, but it also may behoove academic researchers to use quantitative methods, because these types of designs are more rigid, but they also offer researchers results that are often more solid and considered to be more scientifically credible. In some cases, researchers using more qualitative designs do not even want to be considered part of the scientific process. Research design defined generally is the form or framework the experimenter uses to get the results of the study. There are many different kinds of research designs, both qualitative and quantitative, and flexible designs represent qualitative for the most part, whereas fixed designs represent quantitative type studies.

Fixed research designs serve the purpose of showing causal motivations, observing present conditions and longitudinal comparisons, and establishing relationships with evidence from a sample size that is generally large or, in some cases, deferred to a larger statistical research body.

The Best Ways of Doing Academic (Qualitative and Quantitative) Research By Simon Help

Approaching academic research, one can divide the ways of establishing a methodology for the research into two broad categories, in which there are many subcategories. These broad categories are those of qualitative and quantitative research. In qualitative research, there is more room for the researcher or academic to establish the subjectivity of their reportage, regarding the distance that is established between the researcher and the subject. For example, someone doing qualitative research may present a case study of four unemployed mothers, in order to provide research about the need for welfare reform. They have interviewed and presented these cases through their own subjective lens. Quantitative research, on the other hand, is more stringent regarding reliability and validity, and more likely to include numbers and statistics to prove or disprove an academic hypothesis. For example, someone doing quantitative research may research government unemployment records for a decade, and make a series of charts showing changes in health insurance coverage vs. changes in work status. "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". It is possible for an academic researcher to include elements of both qualitative and quantitative research in their methodology, which is called a mixed method.

As noted, qualitative and quantitative research categories are broad, and each contain many sub-categories and the possibility of mixed methodologies. From a perspective of ease and clarity, quantitative experiments are often more cost-effective, and seek to generally show the attitudes and beliefs of a given population, or segment of the population, regarding an established issue. Many academic researchers use survey research to find these attitudes and beliefs, because it introduces the subject of the mixed methodology when these survey results are presented in graph and chart forms. "Surveys can be classified by their method of data collection. Mail, telephone interview, and in-person interview surveys are the most common. Extracting data from samples of medical and other records is also frequently done. In newer methods of data collection, information is entered directly into computers". In today?s world, academic researchers may also conduct surveys over the internet or in instant message programs.

Conducting a mixed methodology research project, an academic researcher may also want to go the route of looking at conclusions drawn from existing research. This can be a qualitative or quantitative approach; the key is that the academic researcher uses the studies and research of others that is established, to make their own points. This type of method is sometimes called a meta-analysis, but in reality, it is more like an extended sort of literature review. The researcher supports or dissents regarding the points of other researchers, based on a past precedent.

Although there are many ways of approaching academic research, the two most common categories for research methodologies are qualitative and quantitative. Research can, however, have elements of both categories, and still be effective. Quantitative research may be higher in terms of reliability and validity for academic researchers, but may not bring across the human element of the research to the reader as well as qualitative research. This latter form of research, while presenting a more human face, may also be construed by the reader as being too subjective. In establishing a research methodology, the adept academic researcher may pick and choose from both quantitative and qualitative elements.

The Best Ways of Doing Academic (Qualitative and Quantitative) Research By Simon Help

Approaching academic research, one can divide the ways of establishing a methodology for the research into two broad categories, in which there are many subcategories. These broad categories are those of qualitative and quantitative research. In qualitative research, there is more room for the researcher or academic to establish the subjectivity of their reportage, regarding the distance that is established between the researcher and the subject. For example, someone doing qualitative research may present a case study of four unemployed mothers, in order to provide research about the need for welfare reform. They have interviewed and presented these cases through their own subjective lens. Quantitative research, on the other hand, is more stringent regarding reliability and validity, and more likely to include numbers and statistics to prove or disprove an academic hypothesis. For example, someone doing quantitative research may research government unemployment records for a decade, and make a series of charts showing changes in health insurance coverage vs. changes in work status. "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". It is possible for an academic researcher to include elements of both qualitative and quantitative research in their methodology, which is called a mixed method.

As noted, qualitative and quantitative research categories are broad, and each contain many sub-categories and the possibility of mixed methodologies. From a perspective of ease and clarity, quantitative experiments are often more cost-effective, and seek to generally show the attitudes and beliefs of a given population, or segment of the population, regarding an established issue. Many academic researchers use survey research to find these attitudes and beliefs, because it introduces the subject of the mixed methodology when these survey results are presented in graph and chart forms. "Surveys can be classified by their method of data collection. Mail, telephone interview, and in-person interview surveys are the most common. Extracting data from samples of medical and other records is also frequently done. In newer methods of data collection, information is entered directly into computers". In today?s world, academic researchers may also conduct surveys over the internet or in instant message programs.

Conducting a mixed methodology research project, an academic researcher may also want to go the route of looking at conclusions drawn from existing research. This can be a qualitative or quantitative approach; the key is that the academic researcher uses the studies and research of others that is established, to make their own points. This type of method is sometimes called a meta-analysis, but in reality, it is more like an extended sort of literature review. The researcher supports or dissents regarding the points of other researchers, based on a past precedent.

Although there are many ways of approaching academic research, the two most common categories for research methodologies are qualitative and quantitative. Research can, however, have elements of both categories, and still be effective. Quantitative research may be higher in terms of reliability and validity for academic researchers, but may not bring across the human element of the research to the reader as well as qualitative research. This latter form of research, while presenting a more human face, may also be construed by the reader as being too subjective. In establishing a research methodology, the adept academic researcher may pick and choose from both quantitative and qualitative elements.

Different Ways of Doing Academic Research By Students By Alina Writer

There are many different facets of methodology that can be applied to an experimental design regarding academic research and essay writing. This statement is a generalization that can be made about these different types of approaches to academic research, which have their respective advantages and disadvantages. Surveys and experiments are examples of fixed research designs, which are more quantitative than qualitative and have more aspects of this type of theory. Quantitative studies tend to rely on hard data and statistics that can provide generalizable results about a population, whereas qualitative studies could be more of a case example or subjective viewpoint. As the extant literature states about the difference between fixed and flexible designs, "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". Generally, for academic research and essay writing, flexible designs offer benefits to research that can change as new variables come up throughout the process, whereas fixed or quantitative designs offer benefits to research that is about stabilizing and controlling a certain state of variables or predictions.

Proper academic research often employs the quantitative survey method. This methodology differs from explicit ethnography in that it is more rationalized and quantitative in nature, and primarily seeks to answer research questions through the proposition that scientific research cannot be proposed without substantive or grounded data to back it up. This makes the use of statistical information very popular with other type theorists, but getting statistics on the future is difficult, and therefore this is another appropriate reason for academic research to be covered in a quantitative manner, rather than grounded theory or qualitative methods. This will still have facets of scientific inquiry however, which relies on hypothesis testing, verification techniques, and quantitative forms of analysis. As Robson implies through the categorical division of validity issues in research, the categorization or coding process is just as important as the research itself in many cases: "Literature discussing similar findings is important as well because it ties together underlying similarities in phenomena normally not associated with each other. The result is often a theory with stronger internal validity, wider generalizability, and higher conceptual level". The stronger the validity of the question, the stronger the process will be in eventuality in terms of producing definite results.

Academic research may be interested in producing empirical data than attitudes and beliefs, but it all depends on the academic discipline. It may be better to do another type of assessment measure, but it also may behoove academic researchers to use quantitative methods, because these types of designs are more rigid, but they also offer researchers results that are often more solid and considered to be more scientifically credible. In some cases, researchers using more qualitative designs do not even want to be considered part of the scientific process. Research design defined generally is the form or framework the experimenter uses to get the results of the study. There are many different kinds of research designs, both qualitative and quantitative, and flexible designs represent qualitative for the most part, whereas fixed designs represent quantitative type studies.

Fixed research designs serve the purpose of showing causal motivations, observing present conditions and longitudinal comparisons, and establishing relationships with evidence from a sample size that is generally large or, in some cases, deferred to a larger statistical research body.

The Best Ways of Doing Academic (Qualitative and Quantitative) Research By Simon Help

Approaching academic research, one can divide the ways of establishing a methodology for the research into two broad categories, in which there are many subcategories. These broad categories are those of qualitative and quantitative research. In qualitative research, there is more room for the researcher or academic to establish the subjectivity of their reportage, regarding the distance that is established between the researcher and the subject. For example, someone doing qualitative research may present a case study of four unemployed mothers, in order to provide research about the need for welfare reform. They have interviewed and presented these cases through their own subjective lens. Quantitative research, on the other hand, is more stringent regarding reliability and validity, and more likely to include numbers and statistics to prove or disprove an academic hypothesis. For example, someone doing quantitative research may research government unemployment records for a decade, and make a series of charts showing changes in health insurance coverage vs. changes in work status. "Flexible research designs are much more difficult to pin down than fixed designs. This is in part because it is only in recent years that researchers have given consideration to the design issues which they raise. Previously there had been a tradition in the disciplines of social anthropology of an apprenticeship model". It is possible for an academic researcher to include elements of both qualitative and quantitative research in their methodology, which is called a mixed method.

As noted, qualitative and quantitative research categories are broad, and each contain many sub-categories and the possibility of mixed methodologies. From a perspective of ease and clarity, quantitative experiments are often more cost-effective, and seek to generally show the attitudes and beliefs of a given population, or segment of the population, regarding an established issue. Many academic researchers use survey research to find these attitudes and beliefs, because it introduces the subject of the mixed methodology when these survey results are presented in graph and chart forms. "Surveys can be classified by their method of data collection. Mail, telephone interview, and in-person interview surveys are the most common. Extracting data from samples of medical and other records is also frequently done. In newer methods of data collection, information is entered directly into computers". In today?s world, academic researchers may also conduct surveys over the internet or in instant message programs.

Conducting a mixed methodology research project, an academic researcher may also want to go the route of looking at conclusions drawn from existing research. This can be a qualitative or quantitative approach; the key is that the academic researcher uses the studies and research of others that is established, to make their own points. This type of method is sometimes called a meta-analysis, but in reality, it is more like an extended sort of literature review. The researcher supports or dissents regarding the points of other researchers, based on a past precedent.

Although there are many ways of approaching academic research, the two most common categories for research methodologies are qualitative and quantitative. Research can, however, have elements of both categories, and still be effective. Quantitative research may be higher in terms of reliability and validity for academic researchers, but may not bring across the human element of the research to the reader as well as qualitative research. This latter form of research, while presenting a more human face, may also be construed by the reader as being too subjective. In establishing a research methodology, the adept academic researcher may pick and choose from both quantitative and qualitative elements.

There Is No Hope of Doing Perfect Academic Research By Rita Writer

The unadorned meaning of research is ?scientific inquiry? or simply ?to search again?. The intriguing word denotes the systematic investigation to increase knowledge and understanding or simply to arrive at facts. It is the careful subject of a study to set up new information or facts about the subject matter. The researcher could be systematic, detailed, organized but cannot be perfect. The word ?perfect? on its own is ambiguous. What does this word really mean? Every researched work usually undergoes fresh scrutiny and further examination before assimilation and therefore all the research outcomes are subject to amendments. This paper seeks to confirm Griffiths 1998?s claim that there is no hope for perfect research.

Continuous editing of a single research will disqualify any research as out rightly perfect and make the claim true. For example, the research carried out by Kaka 2009 has since gone through editions more than five times. Knowledge is an abyss and a claim of reaching a ?perfect? terminal is both impractical and makes little sense. For instance, the infamous Isaac Newton had at one time claimed that he had collected a few pebbles from the ocean of knowledge, though he undoubtedly made many scientific discoveries and contributions to science. In this context, modesty should be every researcher?s benchmark and an incentive; acclamation should thus never blanket our academic quests.

It is also vital to note that research involves getting the information from other print or people, regardless of their knowledge about the issues, and it is of no interest to research whether they are familiar with the matter or not.

The method of trial and error employed in any research also indicates another great weakness of research. The data obtained through trial and error is what is termed as research. Essentially all the errors, inaccuracies, and even false information, could end up as part of the research outcome. This makes little sense and the research essence consequently disappears. This is clear in the research carried out by McLeod 2003.

Even if the research methods and techniques are changed, they will not necessarily spring forth an error-free, perfect, and spotless work. It is worthwhile to note that at times the theories, claims and the results arrived at by the researchers contradict each other, making the process ambiguous. Some results are divided, precarious, and uncertain therefore leaving out new facts that will always be unearthed with time. The qualitative research, for instance, is weak due to problems to do with research validity. The quantitative however, has errors when it comes to the data validity, the analysis, and the drawing of conclusions.

The opinions of the researchers also make the process biased. Every outcome in most cases is in the favor of the researcher. For instance, in the research by Claudia 2007, the available research on the effect of negative evidence in second language acquisition presents a somewhat divided picture with negative evidence apparently being effective for giving phenomena but not for other functions.

Concisely, there are reasonable grounds to make the conclusion that there exists no hope for perfect research. The outcomes as well as the procedure are dependent on many factors. Furthermore, human error, falsified information provided, inevitable inaccuracies, and other inevitable errors nullify the word ?perfect.?

There Is No Hope of Doing Perfect Academic Research By Rita Writer

The unadorned meaning of research is ?scientific inquiry? or simply ?to search again?. The intriguing word denotes the systematic investigation to increase knowledge and understanding or simply to arrive at facts. It is the careful subject of a study to set up new information or facts about the subject matter. The researcher could be systematic, detailed, organized but cannot be perfect. The word ?perfect? on its own is ambiguous. What does this word really mean? Every researched work usually undergoes fresh scrutiny and further examination before assimilation and therefore all the research outcomes are subject to amendments. This paper seeks to confirm Griffiths 1998?s claim that there is no hope for perfect research.

Continuous editing of a single research will disqualify any research as out rightly perfect and make the claim true. For example, the research carried out by Kaka 2009 has since gone through editions more than five times. Knowledge is an abyss and a claim of reaching a ?perfect? terminal is both impractical and makes little sense. For instance, the infamous Isaac Newton had at one time claimed that he had collected a few pebbles from the ocean of knowledge, though he undoubtedly made many scientific discoveries and contributions to science. In this context, modesty should be every researcher?s benchmark and an incentive; acclamation should thus never blanket our academic quests.

It is also vital to note that research involves getting the information from other print or people, regardless of their knowledge about the issues, and it is of no interest to research whether they are familiar with the matter or not.

The method of trial and error employed in any research also indicates another great weakness of research. The data obtained through trial and error is what is termed as research. Essentially all the errors, inaccuracies, and even false information, could end up as part of the research outcome. This makes little sense and the research essence consequently disappears. This is clear in the research carried out by McLeod 2003.

Even if the research methods and techniques are changed, they will not necessarily spring forth an error-free, perfect, and spotless work. It is worthwhile to note that at times the theories, claims and the results arrived at by the researchers contradict each other, making the process ambiguous. Some results are divided, precarious, and uncertain therefore leaving out new facts that will always be unearthed with time. The qualitative research, for instance, is weak due to problems to do with research validity. The quantitative however, has errors when it comes to the data validity, the analysis, and the drawing of conclusions.

The opinions of the researchers also make the process biased. Every outcome in most cases is in the favor of the researcher. For instance, in the research by Claudia 2007, the available research on the effect of negative evidence in second language acquisition presents a somewhat divided picture with negative evidence apparently being effective for giving phenomena but not for other functions.

Concisely, there are reasonable grounds to make the conclusion that there exists no hope for perfect research. The outcomes as well as the procedure are dependent on many factors. Furthermore, human error, falsified information provided, inevitable inaccuracies, and other inevitable errors nullify the word ?perfect.?