Social research: Wikis


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Social research refers to research conducted by social scientists. Social research methods may be divided into two broad categories:

  • Quantitative designs attempt to reduce social phenomena to quantifiable data which can then be statistically analyzed, focusing on the links and attributes across several cases.
  • Qualitative designs emphasize personal experiences, interpretation, and self-knowledge over quantification, are concerned with understanding the meaning of social phenomena, and focus on links and attributes across relatively few cases.

Social scientists employ a range of methods in order to analyse a vast breadth of social phenomena; from census survey data derived from millions of individuals, to the in-depth analysis of a single agents' social experiences; from monitoring what is happening on contemporary streets, to the investigation of ancient historical documents. The methods rooted in classical sociology and statistics have formed the basis for research in further social sciences and humanities subjects, such as political science, media studies, and market research.



Social scientists are divided into camps of support for particular research techniques. These disputes relate to the historical core of social theory (positivism and antipositivism; structure and agency). While very different in many aspects, both qualitative and quantitative approaches involve a systematic interaction between theory and data.[1] The choice of method often depends largely on what the researcher intends to investigate. For example, a researcher concerned with drawing a statistical generalization across an entire population may administer a survey questionnaire to a representitive sample population. By contrast, a researcher who seeks full contextual understanding of an individuals' social actions may choose ethnographic participant observation or open-ended interviews. Studies will commonly combine, or 'triangulate', quantitative and qualitative methods as part of a 'multi-strategy' design. For instance, a quantitative study may be performed to gain statistical patterns or a target sample, and then combined with a qualitative interview to determine the play of agency.[1]



Typically a population is very large, making a census or a complete enumeration of all the values in that population infeasible. A 'sample' thus forms a manageable subset of a population. In positivist research, statistics derived from a sample are analysed in order to draw inferences regarding the population as a whole. The process of collecting information from a sample is referred to as 'sampling'. Sampling methods may be either 'random' (random sampling, systematic sampling, stratified sampling, cluster sampling) or non-random/nonprobability (convenience sampling, purposive sampling, snowball sampling).[1] The most common reason for sampling is to obtain information about a population. Sampling is quicker and cheaper than a complete census of a population.


The primary assumptions of the ethics in social research are:

  • Voluntary participation
  • No physical or psychological harm to subjects
  • Integrity
  • PAC: Privacy, anonymity and confidentiality

Types of method

The following list of research methods is neither exclusive nor exhaustive:

Foundations of social research

Social research (and social science in general) is based on logic and empirical observations. Charles C. Ragin writes in his Constructing Social Research book that "Social research involved the interaction between ideas and evidence. Ideas help social researchers make sense of evidence, and researchers use evidence to extend, revise and test ideas". Social research thus attempts to create or validate theories through data collection and data analysis, and its goal is exploration, description and explanation. It should never lead or be mistaken with philosophy or belief. Social research aims to find social patterns of regularity in social life and usually deals with social groups (aggregates of individuals), not individuals themselves (although science of psychology is an exception here). Research can also be divided into pure research and applied research. Pure research has no application on real life, whereas applied research attempts to influence the real world.

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.

Types of explanations

Explanations in social theories can be idiographic or nomothetic. An idiographic approach to an explanation is one where the scientists seek to exhaust the idiosyncratic causes of a particular condition or event, i.e. by trying to provide all possible explanations of a particular case. Nomothetic explanations tend to be more general with scientists trying to identify a few causal factors that impact a wide class of conditions or events. For example, when dealing with the problem of how people choose a job, idiographic explanation would be to list all possible reasons why a given person (or group) chooses a given job, while nomothetic explanation would try to find factors that determine why job applicants in general choose a given job.

Types of inquiry

Social research can be deductive or inductive. The inductive inquiry (also known as grounded research) is a model in which general principles (theories) are developed from specific observations. In deductive inquiry specific expectations of hypothesis are developed on the basis of general principles (i.e. social scientists start from an existing theory, and then search for proof). For example, in inductive research, if a scientist finds that some specific religious minorities tend to favor a specific political view, he may then extrapolate this to the hypothesis that all religious minorities tend to have the same political view. In deductive research, a scientist would start from a hypothesis that religious affiliation influenced political views and then begin observations to prove or disprove this hypothesis.

Quantitative / qualitative debate

There is usually a trade off between the number of cases and the number of their variables that social research can study. Qualitative research usually involves few cases with many variables, while quantitative involves many phenomena with few variables.

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:

  1. 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 that could be administered to a far greater number of people allowing results to be generalised.
  2. 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![2]

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.

See also

Social research organisations


  1. ^ a b c Haralambos & Holborn. 'Sociology: Themes and perspectives' (2004) 6th ed, Collins Educational. ISBN 978-0-00-715447-0. Chapter 14: Methods
  2. ^ Sutton, Robert I. & Rafaeli, Anat (1988), Untangling the relationship between displayed emotions and organizational sales: The case of convenience stores. Academy of Management Journal, 31(3): 461-487


Appendix:The Sociological Imagination,1959

  • Earl Babbie, 'The Practice of Social Research', 10th edition, Wadsworth, Thomson Learning Inc., ISBN 0-534-62029-9
  • W. Lawrence Neuman, 'Social Research Methods: Qualitative and Quantitative Approaches', 6th edition, Allyn & Bacon, 2006, ISBN 0-205-45793-2
  • Charles C. Ragin, 'Constructing Social Research: The Unity and Diversity of Method', Pine Forge Press, 1994, ISBN 0-8039-9021-9


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