PSBA012 Statistics I

Faculty of Arts
Autumn 2024
Extent and Intensity
1/1/0. 3 credit(s). Type of Completion: k (colloquium).
In-person direct teaching
Teacher(s)
Mgr. Helena Klimusová, Ph.D. (lecturer)
doc. PhDr. Martin Jelínek, Ph.D. (lecturer)
Guaranteed by
doc. PhDr. Martin Jelínek, Ph.D.
Department of Psychology – Faculty of Arts
Contact Person: Jarmila Valchářová
Supplier department: Department of Psychology – Faculty of Arts
Timetable
Wed 11:00–11:50 B2.23, except Mon 18. 11. to Sun 24. 11.
  • Timetable of Seminar Groups:
PSBA012/01: Wed 12:00–12:50 B2.33, except Mon 18. 11. to Sun 24. 11., M. Jelínek, H. Klimusová
PSBA012/02: Wed 13:00–13:50 B2.33, except Mon 18. 11. to Sun 24. 11., M. Jelínek, H. Klimusová
Prerequisites
PSBA009 Methodology of Psychology I
PSBA009 Methodology of psychology I
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course focuses on the field of descriptive statistics and the introduction of inductive statistics. Lectures on specific topics are complemented by practical seminars using SPSS software. The subject follows the Methodology of Psychology I and serves as a prerequisite of Statistical Method II.
Learning outcomes
At the end of the course students should be able to: understand basic concepts of statistics and their application in psychological research; use a special statistical software (SPSS); entry and transform the research data; master basic data analysis procedures (descriptive statistics, mean comparisons, t-tests, ANOVA); read and understand the results of basic data analysis.
Syllabus
  • Introduction to statistics;
  • Descriptive statistics;
  • Inferential statistics - basic concepts;
  • Estimation procedures;
  • Hypothesis testing - the one-sample case;
  • Hypothesis testing - the two-sample case;
  • Hypothesis testing - the analysis of variance (the logic of analysis of variance, one-way ANOVA, factorial ANOVA, repeated measures ANOVA, MANOVA).
Literature
    required literature
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. Páté, rozšířené vydán. Praha: Portál, 2015, 734 stran. ISBN 9788026209812. info
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics : and sex and drugs and rock 'n' roll. 4th edition. Los Angeles: Sage, 2013, xxxvi, 915. ISBN 9781446249178. info
    recommended literature
  • DISMAN, Miroslav. Jak se vyrábí sociologická znalost : příručka pro uživatele. 4. nezměněné vydání. Praha: Univerzita Karlova v Praze, nakladatelství Karolinum, 2011, 372 stran. ISBN 9788024619668. URL info
  • HEALEY, Joseph F. Statistics: A Tool for Social Research. 3rd ed. Belmont, California: Wadsworth, Inc., 1993, 555 pp. ISBN 0-534-17742-5. info
  • SWOBODA, Helmut. Moderní statistika. Translated by Jaromír Císař. Vyd. 1. Praha: Svoboda, 1977, 351 s. URL info
Teaching methods
Lectures, exercises in computer room, homework assignments.
Assessment methods
To pass the colloquium, student has to reach 70% of total points obtained from exercises and homework assignments and from a multiple-choice test.
Language of instruction
Czech
Follow-Up Courses
Study support
https://is.muni.cz/auth/el/phil/podzim2024/PSBA012/index.qwarp
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/phil/autumn2024/PSBA012