One
of the most critical problems faced by a majority of doctoral students across
the world is collecting essential data. A huge majority of PhD thesis writing services firms put special emphasis on the means
of collecting data that is appropriate for the creation of a brilliant PhD
thesis paper. Well-collected data ensures the research question(s) to be
answered and the objectives achieved. Although no method is completely
infallible, one way is to create a data requirements table. Such a table can
ensure that all the data collected by you is in synchronization with the
research requirements.
Ensuring
the collection of essential data encourages you towards the creation of a data
requirements table which comprises of the following elements:-
Ø Decide
whether the main outcome of your research is descriptive or explanatory.
Ø Sub-divide
each research question or objective into more specific investigative questions
about which you need to gather data.
Ø Repeat
the second stage if you feel that the investigative questions are not
sufficiently precise.
Ø Identify
the variables about which you will need to collect data to answer each
investigative question.
Ø Establish
the level of detail required from the data for each variable.
Ø Develop
measurement questions to capture the data at the level of data required for
each variable.
Investigative
questions are the questions that you need to answer in order to address
satisfactorily each research question and to meet each objective. They need to
be generated with regard to your research question(s) and objectives. For some
investigative questions you will need to subdivide your first attempt into more
detailed investigative questions. For each you need to be clear whether you are
interested in respondents’ opinions, behaviours or attributes, as what appears
to be a need to collect one sort of variable frequency turns out to be a need
for another. You then need to identify the variables about which you need to
collect data to answer each investigative question and to decide the level of
detail at which these are measured. Again, the review of the literature and
associated research can suggest possibilities. PhD thesis writing services firms
ensure to help doctoral students in collecting only useful data.
Dissertation Editing Services UK has also been extremely specific about
the collection of only the relevant data rather than irrelevant data. If you
are unsure about the detail needed you should measure at the more precise
level. Although this is more time consuming, it will give you flexibility in
your data analysis process. Once your table is complete, it must be checked to
make sure that all data necessary to answer your investigative questions are
included. When checking, you need to be disciplined and should ensure that only
data that are essential to answering your research question(s) and meeting your
objectives are included. The final column is to remind you to check that your
questionnaire actually included a measurement question that collects the
precise data required. Stages that must occur if a question is to be valid and
reliable include the following:-
The
internal validity and reliability of the data you collect and the response rate
you achieve depend, to a larger extent, on the design of your questions, the
structure of your questionnaire, and the rigour of your pilot testing. A valid
questionnaire will enable accurate data to be collected, and one that is
reliable will mean that these data are collected consistently. Internal
validity in relation to questionnaires refers to the ability of your
questionnaire to measure what you intend it to measure. This means you are
concerned that what you find with your questionnaire actually represents the
reality of what you are measuring. Dissertation Editing Services in UK have
also supported the importance of collecting relevant data. Hope this post of
mine would have helped you gather a good amount of information. Please feel
free to drop in your comments and suggestions.
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