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dc.contributor.authorPiterenko, Kateryna
dc.date.accessioned2013-08-16T09:29:13Z
dc.date.available2013-08-16T09:29:13Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/11250/143972
dc.description.abstractSurvey is a quick common instrument for information gathering. One of the most common forms of the survey is a questionnaire. Questionnaire is “a technique for gathering statistical information about the attributes, attitudes or actions of a population by administering standardized questions to some or all its members.” [5] In this thesis we are discussing business impact of questionnaire and problems related to questionnaire design. Aim of this project is universal solution for questionnaire design. In our opinion, questionnaire design has appeared as the weakest link in the survey. Moreover, not everyone realizes that it causes frequently confusing results. We decided to design our own solution for that. We propose a new methodology of questionnaire design. Our approach is based on start-point framework and testing/verification part of the questionnaire on its developing stage. Notion consists of possibility to test and verify questionnaire for design issues before carry it out to the target group. This option additionally helps to design question types, avoid different sources of bias, and sometimes correct and review the research questions. The proposed approach for testing and verification includes three closed loops of iterations, researcher needs to run to improve the questionnaire. One of the advantages of our approach, which we would like to highlight, is simplicity of iterations, which can be repeated constantly until the quality of the questionnaire will be satisfactory. Loops give researcher different options of how to improve the questionnaire. Loops can be used separately or all together. Then, depending on time resources, researcher can choose one or more options and, additionally, the number of the iterations. We believe that our methodology will enhance the questionnaire performance significantly, hence, the survey results quality in general. To test our own methodology, the conducted survey at Gjøvik University College has been chosen. The survey was addressed to measure the effectiveness of information security awareness program [43]. The survey was held in 2011 within the employees of Gjøvik University College. The survey is a part of another master thesis, which has been done in collaboration with Norsk Senter for Informasjonssikring (NorSIS). In this master thesis, NorSIS has requested to perform a new evaluation of this survey to assume better results. In terms of this project, we provide a full re-evaluation of the survey: starting from questionnaire design and ending with results interpretation. For the re-evaluation, we use our own methodology to present it in working conditions. Evaluation of questionnaire design has an impact on the statistical analysis and influences the results. The statistical analysis is performed using IBM SPSS Statistics software solutions and addressed to measure effectiveness of the training programs and their separate performances. The re-evaluation results are presented with counted in impact of questionnaire design analysis.no_NO
dc.language.isoengno_NO
dc.subjectinformation securityno_NO
dc.subjectsurveyno_NO
dc.subjectquestionnaire designno_NO
dc.titleBusiness and Impact Alignment of Questionnaireno_NO
dc.typeMaster thesisno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Information and communication science: 420::Security and vulnerability: 424no_NO
dc.source.pagenumber93no_NO


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