Extended analysis
The main differences between these two methods are:
Literature analysis method is to convert non-quantitative literature data into quantitative data, make quantitative analysis of literature content, and make judgments and inferences based on these data. In addition, its analysis of the factors and structures that constitute the literature is more detailed and procedural. At the same time, literature research is a qualitative research method and a qualitative research. Content analysis is a quantitative study.
Literature research method mainly refers to the method of collecting, identifying and sorting out literature, and forming a scientific understanding of facts through the study of literature.
From the whole process of educational scientific research, literature research method is often used in the preparation stage and scientific research process.
The general process of literature research method includes five basic links, namely: proposing a topic or hypothesis, researching and designing, collecting literature, sorting out literature and summarizing literature.
Content analysis is a research method mainly aimed at various documents. The early content analysis method originated from social science borrowing nature.
Scientific research methods and quantitative analysis of historical documents. In educational science research, content analysis is not only the main method of literature analysis, but also an independent and complete scientific research method.
The general process of content analysis method includes: establishing the research goal and determining the overall and analysis units, and designing the analysis dimension (or category system) that can decompose the data content of the analysis units into a series of items according to the principles of measurement and quantification.
Then, the representative data samples are extracted strictly according to the analysis dimension, and the samples are transformed into the data form of the analysis category. Finally, the data are tested for reliability and statistically inferred.