Search results
Results From The WOW.Com Content Network
The term may also refer to any data collected during the scientific activity. Observations can be qualitative, that is, the absence or presence of a property is noted and the observed phenomenon described, or quantitative if a numerical value is attached to the observed phenomenon by counting or measuring.
Description is important because our knowledge of the world is a matter of meaning and of the qualitative similarities and differences in meaning as it is experienced by different people. [ 7 ] A phenomenographic data analysis sorts qualitatively distinct perceptions which emerge from the data collected into specific "categories of description."
Observational research is a method of data collection that has become associated with qualitative research. [1] Compared with quantitative research and experimental research, observational research tends to be less reliable but often more valid [citation needed]. The main advantage of observational research is flexibility.
A phenomenological model is a scientific model that describes the empirical relationship of phenomena to each other, in a way which is consistent with fundamental theory, but is not directly derived from theory.
A fact is an observed phenomenon, and observation means it has been seen, heard or otherwise experienced by researcher. A theory is a systematic explanation for the observations that relate to a particular aspect of social life. Concepts are the basic building blocks of theory and are abstract elements representing classes of phenomena.
This method represents the most extreme form of intervention in observational methods, and researchers are able to exert more control over the study and its participants. [2] Conducting field experiments allows researchers to make causal inferences from their results, and therefore increases external validity.
Two main statistical methods are used in data analysis: descriptive statistics, which summarize data from a sample using indexes such as the mean or standard deviation, and inferential statistics, which draw conclusions from data that are subject to random variation (e.g., observational errors, sampling variation). [4]
Methods for analyzing and integrating fieldnotes into qualitative or quantitative research are continuing to develop. Grounded theory is a method for integrating data in qualitative research done primarily by social scientists. This may have implications for fieldnotes in the natural sciences as well.