Cumplotionl Status Research paradigms and approaches with a recap on research reasoning and purposes. Research on less well-known phenomena and where variables are not well identified uses reasoning. However, when multiple theories axist variables are known, and relationships can be predicted, the reasoning utilized is Inductive reasoning is therefore more flexible, unfolding, open-ended and working from specific observations to broad generalizations; while deductive reasoning is narrow and more restrictive, going from broad generalizations to specific observations. It is more applicable to theory The three types of research are based on the purposes of research, which are Inductive reasoning is mostly applied to research and deductive reasoning is mostly appled to quantitative and research. Once an investigator knows the purpose and type of research as well as the reasoning that goes along with purpose and type, he/she can determine the best method for research to answer one's research question and design one's study. This is based on the two approaches of research, which are (using inductive reasoning) and (using deductive reasoning). research uses non-numerical data to describe phenomena or human experience. This method is fexible and non-linear in that new data collection inquiries can be incorporated during the data collection process with sound reason and as the investigator learns more about the phenomenon. research collects numerical data to test existing theory. This method must be designed to detail prior to the beginning of the study, making its data collection process highly restrictive, inflexible, and linear once the study commences. Often research is used to inform quantitative research. However, the opposite is possible, where research results inform and are used to develop new research questions and studies. Scientific research, therefore, is cyclical going from the level to the Hevel and vice-versa The two different approaches to research - quantitative and qualitative - are differentiated mainly by the data they generate. Quantitative data is approach is less while qualitative data is Another key difference is in their flexibility. The approach. The instruments used to collect quantitative data are more rigid than those used to collect qualitative data As a ended questions, Questions flexible than the result, the quantitative studies rely on -ended questions while qualitative studies rely on questions allow for used to obtain data force participants to choose among fixed responses and therefore, are rigid. participants to express their thoughts and ideas in their own words creating opportunities for in-depth, rich, and meaningful responses. While both approaches are different, they have their advantages and disadvantages. Deciding on the best approach is dependent on the research question that is being asked.
Cumplotionl Status Research paradigms and approaches with a recap on research reasoning and purposes. Research on less well-known phenomena and where variables are not well identified uses reasoning. However, when multiple theories axist variables are known, and relationships can be predicted, the reasoning utilized is Inductive reasoning is therefore more flexible, unfolding, open-ended and working from specific observations to broad generalizations; while deductive reasoning is narrow and more restrictive, going from broad generalizations to specific observations. It is more applicable to theory The three types of research are based on the purposes of research, which are Inductive reasoning is mostly applied to research and deductive reasoning is mostly appled to quantitative and research. Once an investigator knows the purpose and type of research as well as the reasoning that goes along with purpose and type, he/she can determine the best method for research to answer one's research question and design one's study. This is based on the two approaches of research, which are (using inductive reasoning) and (using deductive reasoning). research uses non-numerical data to describe phenomena or human experience. This method is fexible and non-linear in that new data collection inquiries can be incorporated during the data collection process with sound reason and as the investigator learns more about the phenomenon. research collects numerical data to test existing theory. This method must be designed to detail prior to the beginning of the study, making its data collection process highly restrictive, inflexible, and linear once the study commences. Often research is used to inform quantitative research. However, the opposite is possible, where research results inform and are used to develop new research questions and studies. Scientific research, therefore, is cyclical going from the level to the Hevel and vice-versa The two different approaches to research - quantitative and qualitative - are differentiated mainly by the data they generate. Quantitative data is approach is less while qualitative data is Another key difference is in their flexibility. The approach. The instruments used to collect quantitative data are more rigid than those used to collect qualitative data As a ended questions, Questions flexible than the result, the quantitative studies rely on -ended questions while qualitative studies rely on questions allow for used to obtain data force participants to choose among fixed responses and therefore, are rigid. participants to express their thoughts and ideas in their own words creating opportunities for in-depth, rich, and meaningful responses. While both approaches are different, they have their advantages and disadvantages. Deciding on the best approach is dependent on the research question that is being asked.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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