151-0361/01 – Data Analysis from Qustionnaire Survey (ADDŠ)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorprof. RNDr. Dana Šalounová, Ph.D.
Study levelundergraduate or graduate
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
POM68 RNDr. Marek Pomp, Ph.D.
S1A20 prof. RNDr. Dana Šalounová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The aim of the subject is to acquaint students with tools of statistical software SPSS for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research.

Teaching methods

Lectures
Individual consultations
Tutorials

Summary

The aim of the subject is to acquaint students with tools of statistical software SPSS for analysis both numeric and non-numeric data. The choise of methods is oriented to data processing from marketing and sociological research.

Compulsory literature:

AZEN, R., WALKER, C.M. Categorical Data Analysis for the Behavioral and Social Sciences. Taylor and Francis, 2011, ISBN 978-1-84872-836-3. AGRESTI, Alan. An Introduction to Categorial Data Analysis. John Wiley & Sons, 2007, ISBN 978-0-471-22618-5. ANDERSON, David Ray, Dennis J. SWEENEY a Thomas Arthur WILLIAMS. Statistics for business and economics. 11th ed., rev. Mason: South-Western Cengage Learning, c2012. ISBN 978-0-538-48164-9.

Recommended literature:

TABACHNICK, Barbara G. a Linda S. FIDELL. Using multivariate statistics. 5th ed. Boston: Pearson Allyn & Bacon, c2007. ISBN 978-0-205-45938-4. FREUND, Rudolf Jakob, William J. WILSON a Donna L. MOHR. Statistical methods. 3rd ed. Burlington: Elsevier/Academic Press, c2010. ISBN 978-0-12-374970-3. AGRESTI, Alan. Categorical data analysis. Third edition. Hoboken: John Wiley & Sons, Inc., Publication, [2013]. Wiley series in probability and statistics. ISBN 978-0-470-46363-5.

Way of continuous check of knowledge in the course of semester

- účast na cvičeních, - zápočtová písemná práce během semestru; max. 25 bodů; min. 13 bodů, - vypracování a včasné odevzdání projektu (samostatné vytvoření a zpracování dotazníkového šetření); max. 20 bodů; min 5 bodů. Minimální počet bodů k udělení zápočtu: 23 bodů. Podmínky pro individuální studijní plán: Totéž, účast ve cvičeních je možno nahradit vypracováním úloh zadaných vyučujícím.

E-learning

Other requirements

Účast ve cvičeních, seminární práce.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Creating data sets. Sampling methods. 2. Sample size. 3. Variable types, their values, missing values. 4. Particular variables analysis. Frequency distribution. Estimations. Testing about proportions. 5. Association between variables. 6. Log-linear models. 7. Comparing two or more populations. 8. Logistic regression.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (100) 51
        Exercises evaluation Credit 45 (45) 23
                Písemka Written test 25  13
                Projekt Project 20  5
        Examination Examination 55  18
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (N0688A050001) Information and Knowledge Management P Czech Ostrava 1 Choice-compulsory type B study plan
2019/2020 (N6209) Systems Engineering and Informatics (6209T017) Informatics in Economics P Czech Ostrava 1 Compulsory study plan
2018/2019 (N6208) Economics and Management (6202T049) Accounting and Taxes P Czech Ostrava 1 Compulsory study plan
2018/2019 (N6209) Systems Engineering and Informatics (6209T017) Informatics in Economics P Czech Ostrava 1 Compulsory study plan
2017/2018 (N6208) Economics and Management (6202T049) Accounting and Taxes P Czech Ostrava 1 Compulsory study plan
2017/2018 (N6209) Systems Engineering and Informatics (6209T017) Informatics in Economics P Czech Ostrava 1 Compulsory study plan
2016/2017 (N6209) Systems Engineering and Informatics (6209T017) Informatics in Economics P Czech Ostrava 1 Compulsory study plan
2015/2016 (N6209) Systems Engineering and Informatics (6209T017) Informatics in Economics P Czech Ostrava 1 Compulsory study plan
2015/2016 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics P Czech Ostrava 1 Compulsory study plan
2014/2015 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics P Czech Ostrava 1 Compulsory study plan
2013/2014 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics P Czech Ostrava 1 Compulsory study plan
2013/2014 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics (00) System Engineering and Informatics P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
Subject block without study plan - EKF - P - cs 2020/2021 Full-time Czech Optional EKF - Faculty of Economics stu. block
Subject block without study plan - EKF - P - cs 2019/2020 Full-time Czech Optional EKF - Faculty of Economics stu. block
Subject block without study plan - EKF - P - cs 2016/2017 Full-time Czech Optional EKF - Faculty of Economics stu. block