PSYb2520 Statistical data analysis II

Faculty of Social Studies
Autumn 2019
Extent and Intensity
1/1/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Mgr. Stanislav Ježek, Ph.D. (lecturer)
Mgr. Jaroslav Gottfried (seminar tutor)
Mgr. Karel Rečka (seminar tutor)
Guaranteed by
doc. Mgr. Stanislav Ježek, Ph.D.
Department of Psychology – Faculty of Social Studies
Supplier department: Department of Psychology – Faculty of Social Studies
Timetable
each even Wednesday 8:00–9:40 P51 Posluchárna V. Čermáka
  • Timetable of Seminar Groups:
PSYb2520/01: each odd Wednesday 8:00–9:40 PC25, J. Gottfried
PSYb2520/02: each even Wednesday 12:00–13:40 PC25, S. Ježek
PSYb2520/03: each odd Wednesday 12:00–13:40 PC25, K. Rečka
Prerequisites
! PSY252 Statistická analýza dat II && ( PSY117 Statistics || PSYb1170 Statistics )
The course assumes the student has working knowledge of the elementary concepts of statistical description, inference, and probability. Ability to test simple hypotheses on means, proportions and correlations. In this sense the prerequisite of this course is FSS:PSYb1170 or an equivalent. Parallel with this course students take a research methods course (FSS:PSYb1120) that allows them to apply newly acquired knowledge and skills in a group research project.
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
there are 38 fields of study the course is directly associated with, display
Course objectives
The course is an introduction to applied statistical analysis using the IBM SPSS software. It introduces students to the most frequently used statistical models in psychology so that they are able to specify the model, estimate its parameters and interpret these parameters. Besides producing own analyses, the focus is also on the understanding of published analyses.
Learning outcomes
Students will be able to perform basic statistical analyses using the IBM SPSS software from data preparation to a written report on the results of the analyses in line with APA recommendations. In their analyses students will be able to make use of the most common models - multiple regression with continuous and categorical predictors and interaction of predictors, mediation linear model, logistic regression, multi-level regression, and factorial ANOVA. Students will be able to critically interpret the results.
Syllabus
  • 1. The analytic software environment of SPSS. 2. Statistical description using SPSS. 3. Testing means, proportions and correlations. 4. General analytical procedure, open science, missing data. 5. Multiple linear regression, mediation, moderation. 6. Logistic regression. 7. ANOVA, factorial ANOVA, ANCOVA. 8. Multilevel regression.
Literature
    required literature
  • FIELD, Andy P. Discovering statistics using IBM SPSS statistics. 5th edition. Los Angeles: Sage, 2018, xxix, 1070. ISBN 9781526419521. info
  • MORGAN, Susan E., Tom REICHERT and Tyler R. HARRISON. From numbers to words : reporting statistical results for the social sciences. Boston: Allyn and Bacon, 2002, xiii, 125. ISBN 080133280X. info
  • Publication manual of the American Psychological Association. Sixth edition. Washington, DC: American Psychological Association, 2010, xviii, 272. ISBN 9781433805622. info
    recommended literature
  • GROTENHUIS, Manfred te and Chris VISSCHER. How to use SPSS syntax : an overview of common commands. Los Angeles: Sage, 2014, xvi, 127. ISBN 9781483333434. info
  • Appelbaum at al. (2018). Journal article reporting standards for quantitative research in psychology: The APA Publications and Communications Board task force report. American Psychologist, 1 (73), 3-25.
Teaching methods
lecture, seminar, online discussion, discussion of team projects
Assessment methods
6 team analyses/projects during the term, active particiaption in seminars, mid-term test, final test and practical exam
Language of instruction
Czech
Follow-Up Courses
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Teacher's information
Communication channels

Please use „PSYb2520“ in the subject of emails related to this course.

If you have questions about statistical theory or practice taught in this courses, please make maximum use of our pubic Facebook group „Statistika, metodologie, psychometrika“ http://goo.gl/Mt95eT. There is no problem using English there. Lecturers read the group and response time there is shorter than to emails.

The course is also listed under the following terms Autumn 2020, Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2019, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2019/PSYb2520