Download Statistics – data analysis

Courses in foreign languages
Academic year
Area subject code
2016-2017
-
Title of course
Statistics – data analysis
Level
I (undergraduate – B.A.) √ II (graduate – M.A.) √ III postgraduate
(please check √)
Time
of implementation
Number of hours
ECTS
Lecture(s)
(name and last name)
Title/position
Affiliation
(Institute, division)
Course description
Aim of the course
Topics
Required readings
1st semester √ 2nd semester√
30
6
Magdalena Rowicka
√ 1st +2nd semester
(please check √)
Ph.D.
Academy of Special Education, Institute of Applied Psychology
The course provided an extensive knowledge related to an application of statistics
to psychology – starting from an overviews of basics of methodology and
descriptive statistics (incl. random sampling and measurement scales), through
the elements of probability, up to inferential statistics (factorial and linear).
The course aims at enabling students to: understand that a great part of
information has a statistical base; acquire an understanding of the concepts of
statistics and probability which are useful and relevant for planning research and
carrying out analysis; draw appropriate conclusions from the results of an
application of statistical methods; interpret the conclusions of statistical analysis;
be aware of the limitations and levels of accuracy of interpretations and
conclusions;
Part A. Descriptive statistics and basic probability.
1. Basic concepts, Mean, Median, Mode, Errors, Absolute and squared error of the
Mean; Sd and variance, Skewness and Kurtosis;
2. Presentation of data – plots (incl. plots for two variables);
3. Normal distribution and it’s properties
4. Basics of probability
5. Hypothesis testing – introduction
6. Categorical data and chi-square (formulas and statistical tables)
Part B. Statistical inference and tests
7. Correlation (parametric and nonparametric)
8. Psychometrics - Exploratory Factor Analysis
9. Simple regression
10. Confidence intervals
11. t-Student tests
12. Simple Analysis of Variance
13. Factorial Analysis of Variance
14. Repeated Measured Design
15. Multiple Regression, mediation and moderation models
16. Analyses of Variance and Covariance as General Linear Models
Howell, D. (2010). Statistical methods for psychology. Wadsworth Cengage
learning.
McKinnon, D. (2008). Introduction to Statistical Mediation Analysis. Lawrence
Erlbaum Associates Taylor & Francis Group.
Teaching methods
Workshop including: slide presentation, video presentation, calculations, Excel and SPSS
exercises (SPSS will be provided on APS licence)
Prerequisites
Basic knowledge of mathematics; intermediate knowledge of methodology of
scientific research (in psychology)
30% - Quizzes (short closed questions, problem questions, calculation questions);
20% - Homework (All open questions with calculations);
20% - Test A (first part of the material – descriptive statistics plus basic
inferential statistics)
30% - Test B (from descriptive to inferential incl. factorial and linear tests)
Assessment
English
Teaching language
[email protected]
Contact person for
further information
(name, e-mail, phone)