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(in Polish) Wielozmiennowa analiza danych 1

General data

Course ID: SzD-PS-WAD1
Erasmus code / ISCED: (unknown) / (unknown)
Course title: (unknown)
Name in Polish: Wielozmiennowa analiza danych 1
Organizational unit: PhD School
Course groups: (in Polish) Grupa wykład/seminarium/konwersatorium do wyboru
ECTS credit allocation (and other scores): 1.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
Language: (unknown)
Subject level:

elementary

Learning outcome code/codes:

enter learning outcome code/codes

Classes in period "Winter semester 2021/22" (past)

Time span: 2021-10-01 - 2022-01-31
Selected timetable range:
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Type of class:
Conversatorium, 15 hours more information
Coordinators: Ewa Skimina
Group instructors: Ewa Skimina
Students list: (inaccessible to you)
Examination: Course - graded credit
Conversatorium - graded credit
Type of subject:

obligatory

(in Polish) Grupa przedmiotów ogólnouczenianych:

(in Polish) nie dotyczy

Full description:

The aim of the course is to refresh the basics of statistical analyses in IBM SPSS Statistics and to get familiar with multivariate models with mediators and moderators. During the classes, we will focus primarily on understanding the analyses and preparing you for adjusting analyses to your research problems. We will, of course, also learn to conduct analyses in macro PROCESS for SPSS. The course consists of two parts. The first one will comprise the revision of the basic analyses in SPSS and mediation analyses, while the second one will include moderation models and more complex models such as moderated mediation or moderated moderation.

Course descriptions are protected by copyright.
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