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Lecturer(s)
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Course content
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Lecture Topics: The First Consultation: Basic concepts (study and research, fundamental and applied research, qualitative and quantitative testing and investigation), data acquisition (population and selection, identifiers and statistical concepts, questionnaires: the types of items, a pilot survey), elementary data description (including multiple frequencies issues, responses, modes, medians). Data description (contingency table, mean, standard deviation, box-plot, time series and its characteristics), data analysis (Gaussian model, population parameters, statistical hypothesis, the level of significance, t-tests, chi-square test, regression model). Seminars Topics: The First Consultation: Working with e-library catalog UJEP, research in the depositary of STAG, MS-Office Excel (a mode, a median, frequency). Second Consultation: MS-Office Excel (TTEST commands, Ftest, contingency table, CHITEST, INTERCEPT, SLOPE). Self-Study: Students using e-learning course and using literature can face some ethical aspects of research, specifically the issue of informed consent, the Copyright Act and citation standards. Students watch informational videos about the research carried out at the faculty's labs. The knowledge will be tested through the e-learning portal Moodle.
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Learning activities and teaching methods
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unspecified
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Learning outcomes
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The course covers the issues of scientific work beginning with problem specification, choosing adequate research methods and activities, creating the questionnaires to the options selected by statistical prosesssing of obtained information and publication principles. The objective is primarily to provide students with practical guidance on how to write the thesis. It also includes informing the students about the posstibility to participate in the research activities conducted at the faculty.
Subject Knowledge: Students know the principles of scientific work in all its phases: from planning to design finishing with publishing the results, as well as they know ethical and citation standards. Professional Skills: Students are able to obtain and use the elementary statistical methods, computer-processed data (mainly, but not only for the bachelor's thesis reasons).
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Prerequisites
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unspecified
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Assessment methods and criteria
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unspecified
The basic requirement is fulfilling the attendance limit (min. 80% contact-classes attendance). Another requirement is active work (checking the elaboration of given tasks by means of e-learning environment Moodle).
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Recommended literature
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Generátor citací. Dostupné z: http://generator.citace.com/.
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Ukazatele DPS. ÚZIS. Dostupné z: http://www.uzis.cz/cz/dps/uvod.html.
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Havel, Z., Cihlář, D. Vybrané neparametrické statistické postupy v antropomotorice. Ústí n. L.: UJEP, 2011. 49 s. ISBN 978-80-7414-402-8.. Ústí nad Labem: Univerzita J. E. Purkyně, Pedagogická fakulta., 2011.
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HENDL, J. Kvalitativní výzkum - základní metody a aplikace.. Praha: Portál, 2005. ISBN 80-7367-040-2.
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HENDL, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2004. ISBN 80-7178-820-1.
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HRACH, Karel. Základy biostatistiky s využitím Excelu. Ústí n.L.: UJEP, 2011. 48 s. ISBN 978-80-7414-398-4..
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JAROŠOVÁ, Darja. Výzkum v ošetřovatelství.. Ostrava, 2006.
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JELÍNEK, M., et al. Jak psát závěrečné práce na FZS UJEP. Ústí n. L.: UJEP. 2016. 36 s.. Ústí n. L., 2015.
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LIŠKA, Václav. Zpracování a obhajoba bakalářské a diplomové práce. Praha: Professional Publishing, 2010. 93 s. ISBN 978-80-7431-021-8..
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MICHALÍK, Petr - ROUB, Zdeněk - VRBÍK, Václav. Zpracování diplomové a bakalářské práce na počítači. Plzeň: Západočeská univerzita, 2009. 67 s. ISBN 978-80-7043-828-2..
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ZVÁROVÁ, Jana. Základy statistiky pro biomedicínské obory. Praha: Karolinum, 2001. 218 s. ISBN 80-7184-786-0..
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