data collection and hypothesis testing - value free
values in the interpretation of data
values and the sociologist
values as a guide to research
took ideas from phenomenology that social reality is made up of a meaningless infinity of facts
therefore a researcher should select certain facts and study these
we can only select them in terms of what we regard as important based on our own values - value relevance
Values are thus essential in enabling us to select which aspects of reality to study
data collection and hypothesis testing
we must be objective and unbiased when actually collecting the facts
e.g not ask leading questions to give answers we want to hear
must also keep values out of the hypothesis
weber - value relevance
sees values as relevant to the sociologist in choosing topic of research, interpreting data collected and deciding how the findings should be used
however, needs values in certain stages of research process but not all
the sociologist’s values must be kept out of the actual process of fact gathering
values in the interpretation of data
Values become important again when we come to interpret the data we have collected.
argues the facts need to be set in a theoretical framework so we can gain understanding
our choice of theoretical framework in based on our values
therefore, must be explicit about our values so others can see if there is unconscious bias in our interpretation of our data
unconscious bias
unaware of biases that affect our decisions and judgments
values and the sociologist
argues that scientists and sociologists are also human beings and citizens and they must not dodge the moral and political issues their work raises by hiding behind words such as ‘objectivity’ or ‘value freedom’.
must take moral responsibility for the harm their research may do.