Data collection and Analysis Procedure Flashcards
compiling or accumulating objects related to the study topic
collecting
should have no special treatment
should have no manipulation of the subject
when the process is ongoing
data collection
techniques that enables researchers to study human behavior and a direct way through an analysis of their communications
content analysis
categorization of data analysis
- categories are determined before the analysis
- researchers become familiar with the descriptive information is collected which allows the categories to emerge as the analysis continues
steps in content analysis
- Determine the Objectives
- Define Terms
- specify the units of analysis
- locate relevant data
- Develop Rationale
- develop a sampling plan
- formulate coding categories
- Check reliability and validity
- analyze data
researchers need a conceptual link to explain how the data are related to the objectives
developing a rationale
the obvious surface content the words images and so on that are directly accessible to the naked eye
manifest content
the meaning underlying what is said or shown
Latent Content
what is the advantage of manifest content
ease of coding and reliability
disadvantage of manifest content
validity
advantage of latent content
getting the underlying meaning of what is shown or written (validity)
disadvantage of latent content
reliability
counting is important characteristic of some content analysis each time a unit in a pertinent categories found it is counted the end product of the counted process must numbers it is important to record the base or reference point for the company
analyzing data
advantages of content analysis
it is unobtrusive
useful as a means of analyzing interviews and observational data
research got a few for the social life of an earlier time
simple and economical
data is readily available
disadvantage of content analysis
limited to recorded information
difficult to establish validity
often looks at the cause of a phenomenon rather than the reflection of it
systematically organized and analyzed complex data sets to search for themes and capture the narratives available in the data sets involves identifying themes careful by carefully reading and reading is a constant comparative method
thematic analysis
explicitly research defend allowing the researchers to analyze the data in relation to their theoretical interest in the issue of being investigated usually begins the analysis with the themes that are identified by the researchers through all literature review
deductive approach
the data is coded without trying to fit the themes and the pre-existing coding frames or the researchers preconception about the research themes emerge through the data and self without being attention to the themes included on other studies
inductive approach
