discover more categories. This then helps them to develop and relate to more theoretical properties which lead to enhancing the emerging theory. When the researcher minimises differences among groups, s/he is able to establish a definite set of conditions under which a category exists. Whereas on maximising, s/he is able to gather a variety of data with strategic similarities among the groups. Generally in theoretical sampling, the researcher aims at maximising differences as this brings about greater coverage in the variation among different aspects, making the theory more elaborate. How are the groups selected? The researcher should actively search for data that is theoretically relevant. Rather than focusing on the group, greater focus should be placed on the emerging theory. The larger the contrast between the groups, the greater will be the probability of evident comparison between the two. As the research progresses and the researcher studies the same group or different sub-groups, s/he then arrives at few categories, which on saturation generate their theory. Uses of theoretical sampling Initially, theoretical sampling is used only for a pragmatic purpose of generating a theory. The ability to generate an extensive understanding of a completely well theory defined in any field through research takes in the account of theoretical sampling. It first focuses on the problem area and then into the various approaches that need the basis of grounded theory. For example, how confident men handle prospective marks or how policemen act toward people of African descent or what happens to students in medical school that turns them into doctors, is dependent on the theoretical framework that the researcher arrives with. Theoretical sampling helps in exploring various hibernating research questions that are eventually evident in the data collection as a theory. According to Glaser and Holton (2004), Grounded theory that has a data collecting inclination towards theoretical sampling was first derived from qualitative sampling. Theoretical sampling methods are now considered as the diluted version of grounded theory that is now used in health care research where researcher may want to find out the different reasons for a particular illness to trigger in a particular kind of population. According to Sandelowski in 1995, although theoretical sampling is often misconstrued as purposive sampling, the uses of theoretical sampling vary to a large extent. Also, the selection criteria of participants for theoretical sampling changes according to the needs and changes that occur in the theoretical