OCT 14, 2019 Research paper
CONTE NT ANALYSI
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SHORT NOTES The images or text contents are transferred to a measurable quantity through coding. The big challenge is involved in the construction of a coding scheme that is, selecting a suitable sampling technique like cluster sampling and a proper statistical measure for analysing the data.Content analysis was originally introduced to bring out the analytical rigor in the communicationsciences. Cohen’s kappa is one such measure to be used for the content analysis.
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TYPES OF CONTENT ANALYSIS QUALITATIVE CONTENT ANALYSIS
QUANTITATIVE CONTENT ANALYSIS Quantitative content analysis focusses on methods, where the text data are methodically recoded then those data are categorized for the statistical data analysis.
Qualitative content analysis focusses on content generated by the existing repository of information’s such as television content, newspapers, historic documents, content from media transcripts, blogs, telephonic conversations, and written communications through email, letters, etc
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REQUIREMENTS FOR CONDUCTING SUCCESSFUL CONTENT ANALYSIS
01
Reliability in using the statistical measures and the code used to analyse the textual content.
02 An appropriate sample of units for the analysis by using a suitable sampling technique.
Validity of the method used.
03
04
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Careful attention is needed in separating the texts for analysis.
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EXAMPLES OF CONTENT ANALYSIS Analyzing the textual data from the newspapers and magazines or are corded/written material like administrative speeches, advertisements in television or other media. Text data are documented and converted into numerical data for analyzing the trends and patterns.
Analyse the ongoing hot topic from the news, or to analyse the numberof times a particular word has appeared in a public speech, etc., Text data are documented and converted into numerical data for analysing the trends and patterns.
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NATIVE WOMEN EXPERIENCE MORE VIOLENCE BECAUSE THEY’RE NATIVE WOMEN
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QUANTITATIVE CONTENT ANALYSIS Quantitative content analysis works by framing the coding scheme before data collection and analyse them by modifying the same. Regularized and methodical observations of patterns in the textual data clearly differentiate the quantitative content analysis from other research methodologies in explaining the trends and interpreting the textual content. Quantitative content analysts is suitable for a larger number of textual data and numerical transformations provides patterns and trends for the study. Statswork experts has experience in handling dissertation, assignment and tool developed for your future business with assured 2:1 distinction. Research Planing | Data Collection | Semantic Annotation | Consumer & Retail Analytics | Econometrics
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QUALITATIVE CONTENT ANALYSIS Qualitative content analysis possess a unique characteristic which focuses on a sequential process of developing the meanings from the sampled textual data based on new findings. Qualitative content analysis keeps on updating the methodical scheme. Qualitative content analysis makes the researchers to do the analysis in a cyclic way for better way of interpreting the data. Data scientist engaging with such qualitative methods are often suitable for small number of texts in the data. Researchers used the qualitative data analysis to make sense of the sampled data, comes in various approaches, which tend to be associated with particular conceptual areas and methods such as cluster analysis. Depending on the objective of the study, the textual data from the content analysis can served as response or explanatory variables & identifying the suitable explanatory variable in an effective way and could be used in testing and experimenting the effects of media. Research Planing | Data Collection | Semantic Annotation | Consumer & Retail Analytics | Econometrics
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APPLICATIONS OF CONTENT ANALYSIS
01 02 03 04 05
Analysing the structure of talk – Conversation analysis.
Data oriented analysis to develop theories. Capturing the hidden meaning in the texts – Interpretative analysis.
Studies seeks to understand the messages in visual texts often called as Semiotics. From the language spoken by the people in producing the meaning through texts often referred as discourse analysis.
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PURPOSE OF USING CONTENT ANALYSIS 1.To make inference about the antecedents of communications eg. Analysing the legal and evaluative evidence, to infer the cultural change, etc. 2.To make or describe the inference about the characteristic of communications eg. Analysing the pattern of communications, infer about the trends in message communications, etc 3.To make inference about the consequences of communications eg. in assessing the responses to communication, and in analysing the flow of information’s, etc. Research Planing | Data Collection | Semantic Annotation | Consumer & Retail Analytics | Econometrics
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SUMMARY During the 19th century, the textual data from newspapers are analysed manually to measure the number of lines and space for a given subject. However, in recent times, with the advent of contextual data, strong technological skills and rich computer configurations makes the more complex problem into simple computational techniques. Thus, content analysis is an emerging statistical topic especially in the big data field.
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