Lecturer(s)


Charvát Miroslav, Mgr. Ph.D.

Course content

Descriptive Statistics Population and sample distributions, confidence intervals, etc.. Standard scores Testing statistical hypotheses Selecting a statistical test Methods for testing the differences Methods for testing the relations

Learning activities and teaching methods

Lecture, Monologic Lecture(Interpretation, Training), Demonstration, Projection (static, dynamic)
 Attendace
 20 hours per semester
 Homework for Teaching
 20 hours per semester
 Preparation for the Course Credit
 40 hours per semester
 Preparation for the Exam
 20 hours per semester

Learning outcomes

This discipline deepens students' knowledge in the area of quantitative methodology and its connection to the statistics. The following concepts and topics are explained: descriptive statistics, sampling and population characteristics, standard scores, hypothesis testing, power analysis, choosing appropriate statistical method, basic designs dedicated to testing of differences (ttests, ANOVA and nonparametric variants), basic designs dedicated to testing of dependence (contingency tables, correlation, regression analysis). Emphasis is placed on the description of typical designs and methods of data analysis. Common errors in preparing and implementing research are also discussed.
Knowledge:  General knowledge of the basic methodological and statistical concepts and terms,  working knowledge of the basic statistical tests according to individual types of research,  understanding the process of testing statistical hypotheses. Skills:  Student is able to formulate the basic statistical hypotheses for quantitative research designs,  selects an appropriate statistical method with reference to the design,  selects the most appropriate method of data presentation (charts, diagrams and/or graphs),  is able to read and interpret important information from data.

Prerequisites

Completition of ZM1K and ZM2K (1st grade courses).

Assessment methods and criteria

Oral exam, Didactic Test
Knowledge and skills are tested in the form of written test (at least 70% success rate). This is a test where apart from their knowledge students must demonstrate that they can use it in specific examples. The test is designed as a series of methodological problems with open response as well as exercises in creating graphs and tables, simple calculations and verification, tasks on interpretive skills, etc. After passing the test, these skills are by similar principle also examined during the oral exam. Hendl, J (2004). Přehled statistických metod zpracování dat. Praha: Portál. Glass, G.V., Hopkins, K.D. (1996). Statistical methods in education and psychology, 3rd ed. Boston: Allyn and Bacon. Polit, D.F., Beck, C.T. (2003). Nursing research: Principles and Methods, 7th ed. Lippincott Williams & Wilkins. Videa a tutoriály z khanacademy stažitelné na: http://www.khanacademy.org/math/statistics

Recommended literature


Glass, G.V., Hopkins, K.D. (1996). tatistical methods in education and psychology. Boston.

Hendl, J. (2004). Přehled statistických metod zpracování dat. Praha.

Polit, D.F., Beck, C.T. (2003). Nursing research: Principles and Methods.
