Statistical Methods : Analysis of Variance 2404-P-MF-MS-sj

Topics:
1. One-way ANOVA (independent data): assumptions, post hoc tests, contrasts, effect size
2. Multivariate analysis of variance (independent data): assumptions, main effects, interaction effect, simple main effects
3. Repeated measures analysis of variance (dependent data)
4. Mixed model analysis of variance (independent and dependent data)
5. Introduction to the MANOVA model

Total student workload

1. Attending laboratory 2. Homework 3. Own work

Learning outcomes - knowledge

Major learning outcomes: K_W05 Subject learning outcomes: Knowledge of: 1. Basics of analysis of variance 2. Differences between univariate and multivariate models 3. Differences in models of analysis for dependent and independent data 4. Specifics of the mixed model 5. Assumptions that must be met in each model

Learning outcomes - skills

Major learning outcomes: K_U04 K_U11 K_U19 Subject learning outcomes: Skills of: 1. Choosing the right ANOVA model depending on the number of variables and type of data (dependent/independent) 2. Conducting analysis of variance in SPSS 3. Interpretation of ANOVA results 4. Reporting ANOVA results in accordance with the APA standards.

Learning outcomes - social competencies

Major learning outcomes: K_K01

Teaching methods

Stationary lecture Laboratory Exercises

Observation/demonstration teaching methods

- display

Expository teaching methods

- informative (conventional) lecture

Exploratory teaching methods

- laboratory
- practical

Online teaching methods

- exchange and discussion methods
- content-presentation-oriented methods
- methods referring to authentic or fictitious situations

Type of course

elective course

Prerequisites

Passed basic statistics course.

Course coordinators

Ewa Ratajczak

Assessment criteria

(1) Attendance at classes (two unexcused absences are allowed).
(2) Providing homework reports.
(3) Positive grade on the final test.
(4) Activity during classes is additionally rewarded.

Bibliography

Bedyńska S., Cypryańska M., Statystyczny drogowskaz (2012) Tom 1-3, Warszawa: Szkoła Wyższa Psychologii Społecznej (są również dostępne w wersji elektronicznej ze stron biblioteki UMK): W SZCZEGÓLNOŚCI TOM 2.

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 2404-P-MF-MS-sj in USOSweb