Question

21. In which method of
collecting data enumerator can
solve any question or doubt or
confusion by giving proper
explanation? *​

Answer 1

Answer:

Explanation:

Data collection is the process of gathering and measuring information on variables of interest, in an established  systematic  fashion  that  enables  one  to  answer  stated  research  questions,  test hypotheses,  and  evaluate  outcomes.  The  data collection  component  of  research  is common  to all fields of study including physical and social sciences, humanities, business, etc. While methods vary by discipline,  the  emphasis on  ensuring accurate  and honest collection  remains the  same.  The goal for all  data collection is to  capture quality evidence that then translates to rich data analysis and allows the building of a convincing and credible answer to questions that have been posed. Regardless of  the  field  of  study  or  preference  for  defining  data  (quantitative,  qualitative),  accurate  data collection  is  essential to  maintaining the  integrity  of  research.  Both  the  selection  of  appropriate data  collection  instruments  (existing,  modified,  or  newly  developed)  and  clearly  delineated instructions for their correct use reduce the likelihood of errors occurring.  Data collection is one of the most important stages in conducting a research. You can have the best research design in the world  but  if you cannot collect the required data you will be not be able to complete your project. Data collection is a very demanding job which needs thorough planning, hard work, patience, perseverance and more to be able to complete the task successfully. Data collection starts with  determining what  kind  of data  required  followed  by  the  selection of  a sample  from a certain population.  After that,  you need  to  use a  certain instrument to  collect the  data from  the selected sample.  9.2 TYPES OF DATA Data are organized into two broad categories: qualitative and quantitative.   Qualitative Data:  Qualitative  data  are  mostly  non-numerical and  usually descriptive  or  nominal in nature. This  means the data collected are in the form of words and sentences. Often (not always), such  data  captures  feelings,  emotions,  or  subjective  perceptions  of  something.  Qualitative approaches aim to address the ‘how’ and ‘why’ of a program and tend to use unstructured methods of data collection to fully explore the topic. Qualitative questions are open-ended. Qualitative methods include focus groups, group discussions and interviews. Qualitative approaches are good for further exploring the effects and unintended consequences of a program. They are, however, expensive and time consuming to implement. Additionally the findings cannot be generalized to participants outside of the program and are only indicative of the group involved.  Qualitative  data  collection  methods  play  an  important  role  in  impact  evaluation  by  providing information  useful  to  understand  the  processes  behind  observed  results  and  assess  changes  in people’s perceptions  of  their  well-being.  Furthermore  qualitative methods  can  be  used to  improve the  quality  of  survey-based  quantitative  evaluations  by  helping  generate  evaluation  hypothesis; strengthening the design of survey questionnaires and expanding or clarifying quantitative evaluation findings. These methods are characterized by the following attributes -   they tend to be open-ended and have less structured protocols (i.e., researchers may change the data collection strategy by adding, refining, or dropping techniques or informants);  they rely more heavily on  interactive interviews; respondents may be interviewed several times to follow up on a particular issue, clarify concepts or check the reliability of data;  they  use  triangulation  to  increase  the  credibility  of  their  findings  (i.e.,  researchers  rely  on multiple data collection methods to check the authenticity of their results);