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  • alexie18 8:34 am on June 19, 2017 Permalink | Reply
    Tags: data collection   

    Creating an effective interview protocol 

    For my qualitative research, the supervisor advised collecting the relevant research data through an interview. He guided me only a little about how interview protocol is developed and how transcripts are refined. This brief introduction did me no significant help as I have never prepared any interview protocol. But now in PhD, I must do it and that too alone!! Is someone here who can guide me on creating an interview protocol for qualitative research?

     
    • matilda774 7:52 am on June 20, 2017 Permalink | Reply

      Your interview protocol must be in alignment of your research question and literature review. For developing interview questions, first get the clarity of the extent to which you need to explore the issue and probe the questions for the respondent. Also, since you are preparing it for a qualitative research, stay concerned while writing open-ended questions. The most common mistake that often researchers do is that they formulate the open-ended questions too expansive which at times is good but not always. The vast the questions is, much complicated and tough to transcribe the answer will be.

    • joseph664 9:07 am on June 21, 2017 Permalink | Reply

      Internet protocol is not much strenuous! It can be developed in the same way as you develop the qualitative questionnaire. The only difference is that you get only limited information from respondents through questionnaire, whereas interview protocol enables the interviewer to get more specific and additional information. But yes, there is one major challenge with interview protocol. Not every researcher can make the full use of it due to rapport. Establishing that comfort and friendly connection with interviewee is the toughest part. Keep this in mind while preparing questions and introductory script.

  • Dr S Loretti 7:06 am on November 28, 2013 Permalink | Reply
    Tags: Data analysis, data collection   

    Hazards of incorrect data collection 

    Imagine the data collected by a bank was incorrect! It could lead to inaccurate dividend statements, incorrect addresses could mean checks sent out to wrong recipients. People could make false claims to credit cards. Government funds that are needed to be distributed would go to the wrong households. Imagine if simple data from the census or a government population study was not cleaned and wrong. It would mean wrong statistics of all kinds. If it were a welfare program study it would mean wrong people get more aid than the deserving folk; all because the data was ‘dirty’ and not cleaned.

    Imagine if data from a clinical trial of a drug got mixed up. The outcome would lead to a life and death situation where a drug may have false data about it being passed or a life saver drug being rejected just because the data was not cleaned. This can happen to thesis data collected in the students’ project the data that is not cleaned could be misleading changing the entire inference and analysis of the study used in a project/thesis. In all these cases a simple cleaning process will give accesses to reliable data to remove all the glitches from it and lead to more reliable results in the statistical analysis that may follow.

     
    • Richard Brien 12:10 pm on November 30, 2013 Permalink | Reply

      Before reading this, I never thought that an incorrect data can create such a menace on a larger scale. I actually don’t pay serious attention to maintaining records correctly.

      • Mathew Mcquire 12:12 pm on December 2, 2013 Permalink | Reply

        Exactly Brien! I was planning a visit to a nearby clinic today but after reading this I’m really getting nervous thinking what if they have messed up their drug information…lol.

    • Richard Brien 12:14 pm on December 5, 2013 Permalink | Reply

      Lol…from now, I’m gonna be very serious about all my important data.

    • Mathew Mcquire 12:14 pm on December 6, 2013 Permalink | Reply

      Me too man!

    • Diane D. Steely 6:35 am on July 6, 2014 Permalink | Reply

      Data collection and maintenance is a must in today’s time when everywhere you see frauds and scams!

    • Teresa J. Mann 5:06 am on September 29, 2014 Permalink | Reply

      The biggest is, we have to do a lot of rework and hard work.

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