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Correction of systematic errors and map update of JDTM ZK in the locality of Slavkov pod Hostýnem - the northern part
Kocourek, Adam ; Cimpl, Pavel (referee) ; Kuruc, Michal (advisor)
This bachelor thesis deals with issues that go with the updating process of Jednotná digitální technická mapa Zlínského kraje. The main goal of this thesis was to make a control survey of previously completed surveying jobs, which were suspected of containing systematic errors and are part of thematical large scale map of the surface situation in the project of JDTM ZK in the locality of Slavkov pod Hostýnem – the northern part. On the basis of the control surveying the task was to evaluate the deviations on the identical points of the suspected jobs and to transform those, confirmed to contain a systematic error, to the control surveying. In the next stage of processing, surveying of incomplete parts of the map and remaking of its outdated sections took place. After that, annexes required by tender documentation were made. Corrected and updated map was then imported into the original database of JDTM ZK by the administrator of the data storage system.
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Data reconciliation and gross error detection
Nováček, Adam ; Šomplák, Radovan (referee) ; Touš, Michal (advisor)
Operational data are used for control and optimization of a process in industrial and energy plants are used. Data provided from measurement are affected by errors arising from uncertainty of measurement (imprecision of measuring instruments). Data reconciliation provides us more precise variables which give us the opportunity to better optimize and achieve higher economic gains. The objective of this bachelor's thesis was to study the issue of data reconciliation of measurement and gross error detection in measurement variables. This work is divided into two parts. The first part is theoretical, describing measurement errors, solution methods for data reconciliation and statistical tests for gross error detection. The second part is a practical demonstration of data reconciliation on two examples. The results of reconciliation and the solution procedure are included. Complete procedure can be found in the Annex.
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Satisficing Detection in online Research in the Czech Republic within online Panel Recruitment
Königová, Martina ; Remr, Jiří (advisor) ; Hendl, Jan (referee)
The diploma thesis deals with detection of satisficing caused by not reading the instruction below a question in the online survey in the Czech Republic. First, the issues of online survey is introduced from the theoretical point of view and cognitive aspects of the proces of creating a response to survey questions is described. Further, the term satisficing is explained, including its sources, forms and ways of measurement, and surveys and studies focused on satisficing detection are presented, including Instructional manipulation checks method which is crucial for the practical part of this thesis. Based on previously executed studies, the author designs hypotheses about the presence of satisficing in the online survey in the Czech Republic, and about the effect of respondent's socio-demographic and other factual characteristics; these hypotheses are subsequently verified using data from the conducted quantitative survey. The research results reveal considerable presence of satisficing caused by not reading the instruction below a question in the online survey. Furthermore, the impact of some socio-demographic and factul characteristics on the total amount of incorrectly answered control IMCs was proved. Building a model used to predict the probability with which the respondent will engage in...
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Correction of systematic errors and map update of JDTM ZK in the locality of Slavkov pod Hostýnem - the northern part
Kocourek, Adam ; Cimpl, Pavel (referee) ; Kuruc, Michal (advisor)
This bachelor thesis deals with issues that go with the updating process of Jednotná digitální technická mapa Zlínského kraje. The main goal of this thesis was to make a control survey of previously completed surveying jobs, which were suspected of containing systematic errors and are part of thematical large scale map of the surface situation in the project of JDTM ZK in the locality of Slavkov pod Hostýnem – the northern part. On the basis of the control surveying the task was to evaluate the deviations on the identical points of the suspected jobs and to transform those, confirmed to contain a systematic error, to the control surveying. In the next stage of processing, surveying of incomplete parts of the map and remaking of its outdated sections took place. After that, annexes required by tender documentation were made. Corrected and updated map was then imported into the original database of JDTM ZK by the administrator of the data storage system.
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Satisficing Detection in online Research in the Czech Republic within online Panel Recruitment
Königová, Martina ; Remr, Jiří (advisor) ; Hendl, Jan (referee)
The diploma thesis deals with detection of satisficing caused by not reading the instruction below a question in the online survey in the Czech Republic. First, the issues of online survey is introduced from the theoretical point of view and cognitive aspects of the proces of creating a response to survey questions is described. Further, the term satisficing is explained, including its sources, forms and ways of measurement, and surveys and studies focused on satisficing detection are presented, including Instructional manipulation checks method which is crucial for the practical part of this thesis. Based on previously executed studies, the author designs hypotheses about the presence of satisficing in the online survey in the Czech Republic, and about the effect of respondent's socio-demographic and other factual characteristics; these hypotheses are subsequently verified using data from the conducted quantitative survey. The research results reveal considerable presence of satisficing caused by not reading the instruction below a question in the online survey. Furthermore, the impact of some socio-demographic and factul characteristics on the total amount of incorrectly answered control IMCs was proved. Building a model used to predict the probability with which the respondent will engage in...
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Comparison of selected data collection techniques of quantitative research
Utler, Richard ; Tahal, Radek (advisor) ; Forst, Václav (referee)
The thesis analyses the differences that result from using of specific data collection method, computer assisted telephone interviewing (CATI) and computer assisted personal interviewing (CAPI). The main findings are based on election model built by research agency TNS Aisa for elections to the Chamber of Deputies of the Parliament of the Czech Republic in 2013. The aim of the thesis is to determine whether the chosen method of data collection influences the results of the estimated electoral preferences, to determine in which sociodemographic categories it is happening and whether the differences in the obtained data are related to the ideological orientation of the political parties. The dependence of the results on the data collection method is assessed by the chi-quadrate independence test. Further, through personal interviews with researchers, it is determined at what stage of the research process the data may be distorted and what its possible causes are. The benefit of the thesis is the finding that the chosen method of collection influences the established preferences among voters aged 30-44, university graduates and voters living in Prague. In these groups, the left-hand side ČSSD is preferred more by personal interviewing and right-handed TOP 09 through telephone interviewing. The collection of data itself was evaluated by the most risky phase of the research process, in which possible distortion could occur. While the accuracy of personal interviewing depends largely on the interviewer's personality, the sources of distortion of the telephone inquiry result more from the nature of the use of the phone itself.
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Data reconciliation and gross error detection
Nováček, Adam ; Šomplák, Radovan (referee) ; Touš, Michal (advisor)
Operational data are used for control and optimization of a process in industrial and energy plants are used. Data provided from measurement are affected by errors arising from uncertainty of measurement (imprecision of measuring instruments). Data reconciliation provides us more precise variables which give us the opportunity to better optimize and achieve higher economic gains. The objective of this bachelor's thesis was to study the issue of data reconciliation of measurement and gross error detection in measurement variables. This work is divided into two parts. The first part is theoretical, describing measurement errors, solution methods for data reconciliation and statistical tests for gross error detection. The second part is a practical demonstration of data reconciliation on two examples. The results of reconciliation and the solution procedure are included. Complete procedure can be found in the Annex.
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