Social scientists use many different methods in order to describe, explore and understand social life. Social methods can generally be subdivided into two broad categories. Quantitative methods are concerned with attempts to quantify social phenomena and collect and analyse numerical data, and focus on the links among a smaller number of attributes across many cases. Qualitative methods, on the other hand, emphasise personal experiences and interpretation over quantification, are more concerned with understanding the meaning of social phenomena and focus on links among a larger number of attributes across relatively few cases. While very different in many aspects, both qualitative and quantitative approaches involve a systematic interaction between theories and data.
Common tools of quantitative researchers include surveys, questionnaires, and secondary analysis of statistical data that has been gathered for other purposes (for example, censuses or the results of social attitudes surveys). Commonly used qualitative methods include focus groups, participant observation, and other techniques.
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There are no laws in social science that parallel the laws in the natural science. A law in social science is a universal generalization about a class of facts. 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. Axioms or postulates are basic assertions assumed to be true. Propositions are conclusions drawn about the relationships among concepts, based on analysis of axioms. Hypotheses are specified expectations about empirical reality which are derived from propositions. Social research involves testing these hypotheses to see if they are true.
Social research involves creating a theory, operationalization (measurement of variables) and observation (actual collection of data to test hypothesized relationship).
Social theories are written in the language of variables, in other words, theories describe logical relationships between variables. Variables are logical sets of attributes, with people being the 'carriers' of those variables (for example, gender can be a variable with two attributes: male and female). Variables are also divided into independent variables (data) that influences the dependent variables (which scientists are trying to explain). For example, in a study of how different dosages of a drug are related to the severity of symptoms of a disease, a measure of the severity of the symptoms of the disease is a dependent variable and the administration of the drug in specified doses is the independent variable. Researchers will compare the different values of the dependent variable (severity of the symptoms) and attempt to draw conclusions.
There is some debate over whether "quantitative research" and "qualitative research" methods can be complementary: some researchers argue that combining the two approaches is beneficial and helps build a more complete picture of the social world, while other researchers believe that the epistemologies that underpin each of the approaches are so divergent that they cannot be reconciled within a research project.
While quantitative methods are based on a natural science, positivist model of testing theory, qualitative methods are based on interpretivism and are more focused around generating theories and accounts. Positivists treat the social world as something that is 'out there', external to the social scientist and waiting to be researched. Interpretivists, on the other hand believe that the social world is constructed by social agency and therefore any intervention by a researcher will affect social reality. Herein lies the supposed conflict between quantitative and qualitative approaches - quantitative approaches traditionally seek to minimise intervention in order to produce valid and reliable statistics, whereas qualitative approaches traditionally treat intervention as something that is necessary (often arguing that participation can lead to a better understanding of a social situation).
However, it is increasingly recognised that the significance of these differences should not be exaggerated and that quantitative and qualitative approaches can be complementary. They can be combined in a number of ways, for example:
Qualitative methods can be used in order to develop quantitative research tools. For example, focus groups could be used to explore an issue with a small number of people and the data gathered using this method could then be used to develop a quantitative survey questionnaire that could be administered to a far greater number of people allowing results to be generalised. Qualitative methods can be used to explore and facilitate the interpretation of relationships between variables. For example researchers may inductively hypothesize that there would be a positive relationship between positive attitudes of sales staff and the amount of sales of a store. However, quantitative, deductive, structured observation of 576 convenience stores could reveal that this was not the case, and in order to understand why the relationship between the variables was negative the researchers may undertake qualitative case studies of four stores including participant observation. This might abductively confirm that the relationship was negative, but that it was not the positive attitude of sales staff that led to low sales, but rather that high sales led to busy staff who were less likely to be express positive emotions at work!Quantitative methods are useful for describing social phenomena, especially on a larger scale. Qualitative methods allow social scientists to provide richer explanations (and descriptions) of social phenomena, frequently on a smaller scale. By using two or more approaches researchers may be able to 'triangulate' their findings and provide a more valid representation of the social world.
A combination of different methods are often used within "comparative research", which involves the study of social processes across nation-states, or across different types of society.
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- conflict paradigm focuses on the ability of some groups to dominate others, or resistance to such domination.
- ethnomethodology paradigm examines how people make sense out of social life in the process of living it, as if each was a researcher engaged in enquiry.
- feminist paradigm focuses on how male dominance of society has shaped social life.
- Darwinism paradigm sees a progressive evolution in social life.
- positivism paradigm was an early 19th century approach, now considered obsolete in its pure form. Positivists believed we can scientifically discover all the rules governing social life.
- structural functionalism paradigm also known as a social systems paradigm addresses what functions various elements of the social system perform in regard to the entire system.
- symbolic interactionism paradigm examines how shared meanings and social patterns are developed in the course of social interactions.
- voluntary participation
- no harm to subjects
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