|
Lecturer(s)
|
-
Kvintová Jana, PhDr. Ph.D.
|
|
Course content
|
unspecified
|
|
Learning activities and teaching methods
|
|
unspecified
|
|
Learning outcomes
|
Knowledge of basic psychological statistics is essential when conducting quantitative psychological and educational research. Different types of data determine different statistical testing methods, and various statistical testing methods determine the rigor of the research results. In this course, you will start from scratch to understand the concepts of psychometrics through the phenomena around you, see the application of psychometrics in published high-quality literature, and learn simple statistical test operations in SPSS software. This course is suitable for: psychology students, education students, and workers engaged in psychological and educational research. Course Objectives and Programs. Concept learning phase: 1. Introduction of psychological statistics. 2. Descriptive statistics: data types; statistical charts; central tendency and measures of dispersion; correlation coefficients and classification of correlations. 3. Inferential statistics: probability distribution; hypothesis testing (t-test/Z-test); ANOVA; chi-square test; regression analysis; non-parametric tests. 4. Secondary research Application phase: 1. Application of statistical knowledge when reading literature 2. Introduction to SPSS software 3. How statistical tests operate in SPSS 4. Interpretation of SPSS results
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
unspecified
|
|
Recommended literature
|
-
Aron, A., Coups, E.J.,Aron, E.N. Statistics for Psychology, 6th edition, Pearson Education, Inc.
|