Questionnaries

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Mind Map on Questionnaries, created by Alan Ángel Elizaiz on 07/11/2021.
Alan Ángel Elizaiz
Mind Map by Alan Ángel Elizaiz, updated more than 1 year ago
Alan Ángel Elizaiz
Created by Alan Ángel Elizaiz over 2 years ago
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Resource summary

Questionnaries
  1. What is?
    1. A questionnaire is a research tool that consists of a series of questions and other indications with the purpose of obtaining information from those consulted.
    2. Types
      1. Mail survey
        1. Most common type of questionnaire, it can be an efficient way to collect large amounts of data, however, being impersonal, it can have a low response rate
        2. Group-administered questionnaire
          1. is a useful instrument for collecting data from a sample of respondents who can naturally be brought together for the purpose
          2. Household drop-off survey
            1. the researcher delivers the questionnaire by hand to a member of an identified household for collection at some later date
          3. Uses
            1. - Presenting questions in a clear and unambiguous
              1. - Enables the transmission of useful and accurate information or data from the respondent to the researcher.
                1. - Can be designed and used to collect vast quantities of data from a variety of respondents. - Presenting questions in a clear and unambiguous
                  1. - If coded in an appropriate way, they can enable analysis to be conducted extremely quickly and with low error rates.
                  2. Design Isssues
                    1. Maximing response rates: To maximise response rates consider the use of a covering letter for your questionnaire. This should be short and should explain the research in a clear and understandable way.
                      1. Ideal questionnaire length and time to complete: As a general rule of thumb, a questionnaire should take no more than about twenty minutes to complete.
                        1. Stratified sampling: Stratified sampling means establishing your population (such as students) and taking from within that population a sample that represents the whole.
                          1. Piloting – using a suitable sample group: When designing a questionnaire it is easy to overlook mistakes and ambiguities in question layout and construction.
                            1. Web-based questionnaires: Many questionnaires are now designed to be completed online, via the internet. Web-based questionnaires produce a higher response rate than their paper-based counterparts
                            2. Limitations
                              1. Leading questions:
                                1. Leading questions are those which provide for only one right answer to the question posed. Their wording can suggest that it would be wrong to answer in some particular way.
                                2. Complicated questions:
                                  1. A complicated question like this consists of a number of sub-questions that can be broken down into a number of smaller, more easily understood, questions.
                                  2. Irritating questions:
                                    1. If you consider a question to be potentially irritating then perhaps provide some contextual information in the questionnaire as to why this particular question is necessary.
                                    2. Ambiguous or unclear questions:
                                      1. Try to be as clear as possible in wording your question. Those completing your questionnaire are unlikely to be as familiar with your core research topic.
                                      2. Too many open-ended questions:
                                        1. Too many open-ended questions force those completing your questionnaire to put more effort into their answers.
                                      3. Data analysis
                                        1. The purpose of the questionnaire is for respondents to record responses by checking boxes, completing statements, or providing written answers.
                                          1. Developing appropriate codes and coding makes data analysis easy and must be used on any instrument.
                                            1. The system of numbers used for each question and answer makes it easier to analyze data for each researcher.
                                              1. The process becomes much faster if you enter questionnaire data into a predefined database.
                                                1. It is useful to get an average score on scale or Likert-type questions to compare between questions.
                                                  1. Higher-value numbers are used for positive responses and lower-value numbers are used for negative responses.
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