data analysis and interpretation of results ppt to pdf

Data analysis and interpretation of results ppt to pdf

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Content Analysis

Presentation Analysis And Interpretation Of Data Pdf

What is Data Analysis?

data analysis and interpretation ppt

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Content Analysis

Data Presentation forms an integral part of all academic studies, commercial, industrial and marketing activities as well as professional practices. Presentation requires skills and understanding of data. It is necessary to make use of collected data which is considered to be raw data. It must be processed to be used for any application. Data analysis helps in the interpretation of data and help take a decision or answer the research question. This can be done by using various Data processing tools and Softwares. Analysis starts with the collection, followed by processing.

Presentation, analysis and interpretation of data 1. Chapter IV 2. Presentation 2. Analysis 3. Interpretation 3. Is the process of organizing data into logical, sequential and meaningful categories and classifications to make them amenable to study and interpretation.

The digital image or photograph you are planning to use in a publication is not as clear as it could be. Is it okay to change the contrast of the parts you want to emphasise, or is this data fabrication or falsification? Working out how to interpret and then present your research material and data is probably the most creative aspect of research, but also an area where it is easiest to compromise integrity. The rules for interpretation and presentation are usually very field-specific and often unwritten. For example, no clear universally accepted standards exist to distinguish acceptable manipulation of digital images. See the box at the end of this section for guidance in this area, but if you have further questions:.

Presentation Analysis And Interpretation Of Data Pdf

Content analysis is a research tool used to determine the presence of certain words, themes, or concepts within some given qualitative data i. Using content analysis, researchers can quantify and analyze the presence, meanings and relationships of such certain words, themes, or concepts. As an example, researchers can evaluate language used within a news article to search for bias or partiality. Researchers can then make inferences about the messages within the texts, the writer s , the audience, and even the culture and time of surrounding the text. Sources of data could be from interviews, open-ended questions, field research notes, conversations, or literally any occurrence of communicative language such as books, essays, discussions, newspaper headlines, speeches, media, historical documents. A single study may analyze various forms of text in its analysis. To analyze the text using content analysis, the text must be coded, or broken down, into manageable code categories for analysis i.

Contents - Previous - Next. Stages of analysis and interpretation of findings Establishing the trustworthiness of information Presentation of findings Implementation of findings. This chapter deals with the processes of conducting overall analysis of all the information gathered and reviewed; checking its trustworthiness by triangulation; interpreting or making sense of findings; presentation and use of findings. As documentation is one of the most important outputs of a hygiene evaluation study, we shall demonstrate how investigation and analysis link up to report writing in practical terms. There are four main stages in the analysis and interpretation of qualitative information. These are discussed in more detail in several text books including Patton , , Miles and Huberman , and Silverman Here, we shall concentrate more on the practical tasks, rather than on theoretical issues.

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis. A simple example of Data analysis is whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision. This is nothing but analyzing our past or future and making decisions based on it. For that, we gather memories of our past or dreams of our future.

What is Data Analysis?

Results and inferences are dependent on the study design, Method of selection of subjects for the study, Size of the sample used for the study, Conduct of study. This chapter mainly presents analysis, interpretation of data used in the study. Data analysis and interpretation are critical to develop sound conclusions and make better informed decisions.

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data analysis and interpretation ppt

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