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

Gurantor department	Department of Mathematical Methods in Economics	Credits	5
Subject guarantor	RNDr. Marek Pomp, Ph.D.	Subject version guarantor	RNDr. Marek Pomp, Ph.D.
Study level	undergraduate or graduate	Requirement	Compulsory
Year	1	Semester	summer
		Study language	Czech
Year of introduction	2013/2014	Year of cancellation
Intended for the faculties	EKF	Intended for study types	Follow-up Master

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
POM68	RNDr. Marek Pomp, Ph.D.

Extent of instruction for forms of study
Form of study	Way 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

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

Studijní opory TpB: https://lms.vsb.cz/course/view.php?id=72585

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 name	Type of task	Max. number of points (act. for subtasks)	Min. number of points	Max. počet pokusů
Exercises evaluation and Examination	Credit and Examination	100 (100)	51
Exercises evaluation	Credit	45 (45)	23
Písemka	Written test	25	13	2
Projekt	Project	20	5
Examination	Examination	55	18	3

Mandatory attendence participation:

Show history

Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic year	Programme	Branch/spec.	Spec.	Form	Study language	Tut. centre	Year	Type of duty
2023/2024	(N0688A050001) Information and Knowledge Management			P	Czech	Ostrava	1	Choice-compulsory type B	study plan
2022/2023	(N0688A050001) Information and Knowledge Management			P	Czech	Ostrava	1	Choice-compulsory type B	study plan
2021/2022	(N0688A050001) Information and Knowledge Management			P	Czech	Ostrava	1	Choice-compulsory type B	study plan
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 name	Academic year	Form of study	Study language	Type of block	Block 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

Assessment of instruction