The independent variable is the variable which the researcher would like to measure the cause , while the dependent variable is the effect or assumed effect , dependent on the independent variable.
These variables are often stated in experimental research , in a hypothesis , e. In explorative research methodology, e. They might not be stated because the researcher does not have a clear idea yet on what is really going on. Confounding variables are variables with a significant effect on the dependent variable that the researcher failed to control or eliminate - sometimes because the researcher is not aware of the effect of the confounding variable.
The key is to identify possible confounding variables and somehow try to eliminate or control them. Operationalization is to take a fuzzy concept conceptual variables , such as ' helping behavior ', and try to measure it by specific observations, e.
The selection of the research method is crucial for what conclusions you can make about a phenomenon. It affects what you can say about the cause and factors influencing the phenomenon. It is also important to choose a research method which is within the limits of what the researcher can do. Time, money, feasibility, ethics and availability to measure the phenomenon correctly are examples of issues constraining the research.
Choosing the scientific measurements are also crucial for getting the correct conclusion. Some measurements might not reflect the real world, because they do not measure the phenomenon as it should. To test a hypothesis , quantitative research uses significance tests to determine which hypothesis is right. The significance test can show whether the null hypothesis is more likely correct than the research hypothesis. Research methodology in a number of areas like social sciences depends heavily on significance tests.
A significance test may even drive the research process in a whole new direction, based on the findings. The t-test also called the Student's T-Test is one of many statistical significance tests, which compares two supposedly equal sets of data to see if they really are alike or not. The t-test helps the researcher conclude whether a hypothesis is supported or not.
Drawing a conclusion is based on several factors of the research process, not just because the researcher got the expected result.
It has to be based on the validity and reliability of the measurement, how good the measurement was to reflect the real world and what more could have affected the results. Anyone should be able to check the observation and logic, to see if they also reach the same conclusions. Errors of the observations may stem from measurement-problems, misinterpretations, unlikely random events etc.
A common error is to think that correlation implies a causal relationship. This is not necessarily true. Generalization is to which extent the research and the conclusions of the research apply to the real world. It is not always so that good research will reflect the real world, since we can only measure a small portion of the population at a time. Validity refers to what degree the research reflects the given research problem, while Reliability refers to how consistent a set of measurements are.
A definition of reliability may be "Yielding the same or compatible results in different clinical experiments or statistical trials" the free dictionary. Research methodology lacking reliability cannot be trusted. Replication studies are a way to test reliability. Both validity and reliability are important aspects of the research methodology to get better explanations of the world.
Logically, there are two types of errors when drawing conclusions in research:. Type 1 error is when we accept the research hypothesis when the null hypothesis is in fact correct. Type 2 error is when we reject the research hypothesis even if the null hypothesis is wrong.
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Want the full version to study at home, take to school or just scribble on? In recent years, however, there has been a tendency to use methodology as a "pretentious substitute for the word method ".
From Wikipedia, the free encyclopedia. This article is about research methods. For software engineering frameworks, see Software development methodology. Computer and Information Security Handbook. Frankfurter, Theory and Reality in Financial Economics: Essays Toward a New Political Finance.
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Axioms tacit assumptions Conceptual framework Epistemology outline Evidence anecdotal , scientific Explanations Faith fideism Gnosis Intuition Meaning-making Memory Metaknowledge Methodology Observation Observational learning Perception Reasoning fallacious , logic Revelation Testimony Tradition folklore Truth consensus theory , criteria.
Methodology is the systematic, theoretical analysis of the methods applied to a field of study. It comprises the theoretical analysis of the body of methods and principles associated with a branch of knowledge.
CONTENTS OF A RESEARCH REPORT. A research report ordinarily includes the following sections: METHODOLOGY. The methodology section includes a description of the research sample (subjects), data collection method, measurement instruments, and data analysis procedures.
1 Chapter: 2 RESEARCH METHODOLOGY Contents Introduction Problem Identification Review of Literature Research Design. There is scientific method for the layout of research report. Contents and Layout of Research Report. Contents of Research Report. The researcher must keep in mind that his research report must contain following aspects: Purpose of study;.
Chapter 3 _____ 79 Research methodology Introduction The purpose of this chapter is to present the philosophical assumptions underpinning. Content analysis is a research technique used to make replicable and valid inferences by interpreting and coding textual material. By systematically evaluating texts (e.g., documents, oral communication, and graphics), qualitative data can be converted into quantitative data. Although the method has.