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preferably done using random sampling. The National Child Development Study (NCDS) of England
              is an example of a cohort study.


              Case Study Design


              This design is suited more to studies in sociology, psychology, and anthropology. It is appropriate in
              situations where the attempt is to study in detail, a single community (including online communities),
              a single school of thought, a single family, a single organization, a person (such studies often make use
              of the life or oral history, or biographical approach), or a single event. These entities of study on which
              a case study design can be applied are generally called “social settings”. A case study design is used for
              a detailed, intensive study of the complexity in nature of one particular social setting. Cases could be
              categorized into: a critical case, an extreme or unique case, a representative or typical case, a revelatory
              case, or a longitudinal case.



              Comparative Design

              A  comparative  design  is  appropriate  when  two  or  more  contrasting  social  settings  or  cases  are
              studied  using  identical  methods,  at  almost  the  same  point  in  time.  This  design  is  also  suited  to
              cross-cultural and cross-national comparative studies. The issues of reliability, validity, replicability,
              and  generalizability  of  comparative  designs  are  similar  to  those  of  the  cross-sectional  design.  A
              comparative  design  gives  an  opportunity  to  the  researcher  to  examine  the  causal  mechanisms
              in contrasting or similar situations or contexts. It is a variant of the comparative design, known as
              multiple-case study approach. The multiple-case study approach is suitable to qualitative case studies
              as well.


              Data Collection Methods


              Social scientists have, of late, been making a distinction between: (1) naturally occurring data, and
              (2)  non-naturally  occurring  data.  Conversational  analysts  and  discursive  psychologists  strongly
              recommend working with recordings of naturally occurring data and their transcripts (Speer, 2008).
              The methods of collecting non-natural or contrived data are discussed as follows:


              Self-administered Questionnaires and Standardized Interviews


              Self-administered  questionnaires  are  handed  over  to  the  respondents,  for  reading  and  filling  in
              their responses. They are characterized by the complete absence of the interviewer. This gives rise
              to concerns about non-responses, item non-responses, and the quality of data. This is because the
              question  and  its  response  alternatives  would  be  interpreted  differently  by  different  respondents.
              In contrast to that, in the case of structured interviews, the presence of the interviewer can help in
              explaining the questions and the response alternatives. This enhances the data quality and reduces
              item  non-response.  Moreover,  the  non-response  rate  in  case  of  structured  interviews  would  be
              relatively  less  because  the  interviewer  may  successfully  convince  the  reluctant  respondents,  who
              would, in the absence of the interviewer, might be non-responsive. Standardized interviews are better
              to  get  responses  on  sensitive  questions.  On  the  other  hand,  interviewer  effects  would  have  to  be
              accounted for, in the case of standardized interviewing (De Leeuw, 2008).
              In  case  of  self-administered  questionnaires,  the  respondents  see  the  questions  and  the  response
              alternatives themselves. Self-administered questionnaires can be designed using online services such






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