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Interpretation of Research Data

Interpretation of data in Research Methodology

❶Technique of Interpretation Interpretation often involves the following steps:

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Need for Interpretation

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. Activism Argument Argumentum ad populum Attitude change Censorship Charisma Circular reporting Cognitive dissonance Critical thinking Crowd manipulation Cultural dissonance Deprogramming Echo chamber Education religious , values Euphemism Excommunication Fearmongering Historical revisionism Ideological repression Indoctrination Media manipulation Media regulation Mind control Missionaries Moral entrepreneurship Persuasion Polite fiction Political engineering Propaganda Propaganda model Proselytism Psychological manipulation Psychological warfare Religious conversion forced Religious persecution Religious uniformity Revolutions Rhetoric Self-censorship Social change Social control Social engineering Social influence Social progress Suppression of dissent Systemic bias Woozle effect.

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. Nihilism Optimism Pessimism Reclusion Weltschmerz. Retrieved from " https: Views Read Edit View history.

In other projects Wikimedia Commons Wikiquote. As such he must take the task of interpretation as a special aspect of analysis and accordingly must take all those precautions that one usually observes while going through the process of analysis viz. This will enable him to do his job of interpretation on proper lines.

Broad generalisation should be avoided as most research is not amenable to it because the coverage may be restricted to a particular time, a particular area and particular conditions.

Such restrictions, if any, must invariably be specified and the results must be framed within their limits. It is exactly in this area of interaction between theoretical orientation and empirical observation that opportunities for originality and creativity lie.

What is Logic Programming in artificial intelligence? What is Knowledge Representation and Reasoning? What is Processing Line Drawings in artificial intelligence? Your email address will not be published. Read more winstudent articles..

What is difference between Interpretation and Report Writing in human resource management? What are the Significance of report writing in human resource management? What is oral presentation and mechanism of writing research report? Precautions in Interpretation Researcher must pay attention to the following points for correct interpretation: He should be well equipped with and must know the correct use of statistical measures for drawing inferences concerning his study.

This will enable him to do his job of interpretation on proper lines. Broad generalization should be avoided as most research is not amen- able to it because the coverage may be restricted to a particular time, a particular area and particular conditions. Such restrictions, if any, must invariably be specified and the results must be framed within their limits.

It is exactly in this area of interaction between theoretical orientation and empirical observation that opportunities for originality and creativity lie. Upload from Desktop Single File Upload. The presentation is successfully added In Your Favorites.

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Interpretation is the process of making sense of numerical data that has been collected, analyzed, and presented. A common method of assessing numerical data is known as statistical analysis, and the activity of analyzing and interpreting data in order to make predictions is known as inferential statistics.

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Interpretation of data in Research Methodology Interpretation of data refers to the task of drawing inferences from the collected facts after an analytical and/or experimental study. In fact, it is a search for broader meaning of research findings.

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Methodology chapter of your dissertation should include discussions about the methods of data analysis. You have to explain in a brief manner how you are going to analyze the primary data you will collect employing the methods explained in this chapter. There are differences between qualitative data. What is Interpretation and Report Writing in reasearch methodology? September 19, rsm After collecting and analyzing the data, researchers have completed the task of drawing inference Followed by the writing of the report.

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Interpretation of research data means drawing inference from the collected facts and computed statistics or test statistics. The task of interpretation has two major aspects;. The effort to establish continuity in research through linking the results of given study with those of others, and. RESEARCH METHODOLOGY: TOOLS AND TECHNIQUES Bridge Center 4. 5 COON NTTEENTTSS apply rigorous analysis. (viii) Research involves the quest for answers to un-solved problems. (ix) Research strives to be objective and logical, applying every.